Thomas Lukasiewicz : Publications

The IMO Small Challenge: First IMO Dataset for LLMs

Simon Frieder‚ Mirek Olšák‚ Julius Berner and Thomas Lukasiewicz

In Proceedings of the 12th International Conference on Learning Representations‚ ICLR 2024‚ Tiny Papers Track‚ Vienna‚ Austria‚ 7–11 May 2024. May, 2024.

Details about The IMO Small Challenge: First IMO Dataset for LLMs | BibTeX data for The IMO Small Challenge: First IMO Dataset for LLMs

How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data

Mihaela Catalina Stoian‚ Salijona Dyrmishi‚ Maxime Cordy‚ Thomas Lukasiewicz and Eleonora Giunchiglia

In Proceedings of the 12th International Conference on Learning Representations‚ ICLR 2024‚ Vienna‚ Austria‚ 7–11 May 2024. May, 2024.

Details about How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data | BibTeX data for How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data

A Stable‚ Fast‚ and Fully Automatic Learning Algorithm for Predictive Coding Networks

Tommaso Salvatori‚ Yuhang Song‚ Yordan Yordanov‚ Beren Millidge‚ Lei Sha‚ Cornelius Emde‚ Zhenghua Xu‚ Rafal Bogacz and Thomas Lukasiewicz

In Proceedings of the 12th International Conference on Learning Representations‚ ICLR 2024‚ Vienna‚ Austria‚ 7–11 May 2024. May, 2024.

Details about A Stable‚ Fast‚ and Fully Automatic Learning Algorithm for Predictive Coding Networks | BibTeX data for A Stable‚ Fast‚ and Fully Automatic Learning Algorithm for Predictive Coding Networks

Pre−training and Diagnosing Knowledge Base Completion Models

Vid Kocijan‚ Myeongjun Jang and Thomas Lukasiewicz

In Artificial Intelligence. Vol. 329. No. 104081. April, 2024.

Details about Pre−training and Diagnosing Knowledge Base Completion Models | BibTeX data for Pre−training and Diagnosing Knowledge Base Completion Models | Link to Pre−training and Diagnosing Knowledge Base Completion Models

Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation

Louis Mahon and Thomas Lukasiewicz

In Proceedings of the 38th AAAI Conference on Artificial Intelligence‚ AAAI 2024‚ Vancouver‚ BC‚ Canada‚ February 22 – 25‚ 2024. AAAI Press. February, 2024.

Details about Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation | BibTeX data for Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation

Minimum Description Length Clustering to Measure Meaningful Image Complexity

Louis Mahon and Thomas Lukasiewicz

In Pattern Recognition. Vol. 145. No. 109889. January, 2024.

Details about Minimum Description Length Clustering to Measure Meaningful Image Complexity | BibTeX data for Minimum Description Length Clustering to Measure Meaningful Image Complexity | Link to Minimum Description Length Clustering to Measure Meaningful Image Complexity

Explanations for Query Answers under Existential Rules

İsmail İlkan Ceylan‚ Thomas Lukasiewicz‚ Enrico Malizia and Andrius Vaicenavičius

In Artificial Intelligence. 2024.

Conditionally accepted for publication

Details about Explanations for Query Answers under Existential Rules | BibTeX data for Explanations for Query Answers under Existential Rules

Evaluating Language Models for Mathematics through Interactions

Katherine M. Collins‚ Albert Jiang‚ Simon Frieder‚ Lionel Wong‚ Miri Zilka‚ Umang Bhatt‚ Thomas Lukasiewicz‚ Yuhuai Wu‚ Joshua B. Tenenbaum‚ William Hart‚ Timothy Gowers‚ Wenda Li‚ Adrian Weller and Mateja Jamnik

In PNAS. 2024.

In press.

Details about Evaluating Language Models for Mathematics through Interactions | BibTeX data for Evaluating Language Models for Mathematics through Interactions

CCN+: A Neuro−symbolic Framework for Deep Learning with Requirements  

Eleonora Giunchiglia‚ Alex Tatomir‚ Mihaela Catalina Stoian and Thomas Lukasiewicz

In International Journal of Approximate Reasoning. 2024.

In press.

Details about CCN+: A Neuro−symbolic Framework for Deep Learning with Requirements   | BibTeX data for CCN+: A Neuro−symbolic Framework for Deep Learning with Requirements   | Link to CCN+: A Neuro−symbolic Framework for Deep Learning with Requirements  

Inferring Neural Activity Before Plasticity: A Foundation for Learning Beyond Backpropagation

Yuhang Song‚ Beren Millidge‚ Tommaso Salvatori‚ Thomas Lukasiewicz‚ Zhenghua Xu and Rafal Bogacz

In Nature Neuroscience. 2024.

Details about Inferring Neural Activity Before Plasticity: A Foundation for Learning Beyond Backpropagation | BibTeX data for Inferring Neural Activity Before Plasticity: A Foundation for Learning Beyond Backpropagation | Link to Inferring Neural Activity Before Plasticity: A Foundation for Learning Beyond Backpropagation

Associative Memories in the Feature Space

Tommaso Salvatori‚ Beren Millidge‚ Yuhang Song‚ Rafal Bogacz and Thomas Lukasiewicz

In Proceedings of the 26th European Conference on Artificial Intelligence‚ ECAI 2023‚ Kraków‚ Poland‚ September 30 – October 5‚ 2023. IOS Press. September, 2023.

Details about Associative Memories in the Feature Space | BibTeX data for Associative Memories in the Feature Space

Complexity of Inconsistency−Tolerant Query Answering in Datalog+/ under Preferred Repairs

Thomas Lukasiewicz‚ Enrico Malizia and Cristian Molinaro

In Pierre Marquis and Tran Cao Son, editors, Proceedings of 20th International Conference on Principles of Knowledge Representation and Reasoning‚ KR 2023‚ Rhodes‚ Greece‚ September 2−8‚ 2023. AAAI Press. September, 2023.

Details about Complexity of Inconsistency−Tolerant Query Answering in Datalog+/ under Preferred Repairs | BibTeX data for Complexity of Inconsistency−Tolerant Query Answering in Datalog+/ under Preferred Repairs

PhaCIA−TCNs: Short−Term Load Forecasting Using Temporal Convolutional Networks With Parallel Hybrid Activated Convolution and Input Attention

Zhenghua Xu‚ Zhoutao Yu‚ Hexiang Zhang‚ Junyang Chen‚ Junhua Gu‚ Thomas Lukasiewicz and Victor Leung

In IEEE Transactions on Network Science and Engineering. August, 2023.

Details about PhaCIA−TCNs: Short−Term Load Forecasting Using Temporal Convolutional Networks With Parallel Hybrid Activated Convolution and Input Attention | BibTeX data for PhaCIA−TCNs: Short−Term Load Forecasting Using Temporal Convolutional Networks With Parallel Hybrid Activated Convolution and Input Attention | Link to PhaCIA−TCNs: Short−Term Load Forecasting Using Temporal Convolutional Networks With Parallel Hybrid Activated Convolution and Input Attention

Exploiting T−norms for Deep Learning in Autonomous Driving

Mihaela Catalina Stoian‚ Eleonora Giunchiglia and Thomas Lukasiewicz

In Artur S. d'Avila Garcez‚ Tarek R. Besold‚ Marco Gori and Ernesto Jiménez−Ruiz, editors, Proceedings of the 17th International Workshop on Neural−Symbolic Learning and Reasoning‚ NeSy 2023‚ La Certosa di Pontignano‚ Siena‚ Italy‚ 3–5 July 2023. Pages 369–380. July, 2023.

Details about Exploiting T−norms for Deep Learning in Autonomous Driving | BibTeX data for Exploiting T−norms for Deep Learning in Autonomous Driving

KNOW How to Make Up Your Mind! Adversarially Detecting and Remedying Inconsistencies in Natural Language Explanations

Myeongjun Jang‚ Bodhisattwa Prasad Majumder‚ Julian McAuley‚ Thomas Lukasiewicz and Oana−Maria Camburu

In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics‚ ACL 2023‚ Toronto‚ Canada‚ July 9–14‚ 2023. Association for Computational Linguistics. July, 2023.

Details about KNOW How to Make Up Your Mind! Adversarially Detecting and Remedying Inconsistencies in Natural Language Explanations | BibTeX data for KNOW How to Make Up Your Mind! Adversarially Detecting and Remedying Inconsistencies in Natural Language Explanations

An Empirical Analysis of Parameter−Efficient Methods for Debiasing Pre−Trained Language Models

Zhongbin Xie and Thomas Lukasiewicz

In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics‚ ACL 2023‚ Toronto‚ Canada‚ July 9–14‚ 2023. Association for Computational Linguistics. July, 2023.

Details about An Empirical Analysis of Parameter−Efficient Methods for Debiasing Pre−Trained Language Models | BibTeX data for An Empirical Analysis of Parameter−Efficient Methods for Debiasing Pre−Trained Language Models

Faithfulness Tests for Natural Language Explanations

Pepa Atanasova‚ Oana−Maria Camburu‚ Christina Lioma‚ Thomas Lukasiewicz‚ Jakob Grue Simonsen and Isabelle Augenstein

In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics‚ ACL 2023‚ Toronto‚ Canada‚ July 9–14‚ 2023. Association for Computational Linguistics. July, 2023.

Details about Faithfulness Tests for Natural Language Explanations | BibTeX data for Faithfulness Tests for Natural Language Explanations

NP−SemiSeg: When Neural Processes meet Semi−Supervised Semantic Segmentation

Jianfeng Wang‚ Daniela Massiceti‚ Xiaolin Hu‚ Vladimir Pavlovic and Thomas Lukasiewicz

In Proceedings of the 40th International Conference on Machine Learning‚ ICML 2023‚ Hawaii‚ USA‚ 23−29 July 2023. July, 2023.

Details about NP−SemiSeg: When Neural Processes meet Semi−Supervised Semantic Segmentation | BibTeX data for NP−SemiSeg: When Neural Processes meet Semi−Supervised Semantic Segmentation

μ−Net: Medical image segmentation using efficient and effective deep supervision

Di Yuan‚ Zhenghua Xu‚ Biao Tian‚ Hening Wang‚ Yuefu Zhan and Thomas Lukasiewicz

In Computers in Biology and Medicine. Vol. 160. Pages 106963. June, 2023.

Details about μ−Net: Medical image segmentation using efficient and effective deep supervision | BibTeX data for μ−Net: Medical image segmentation using efficient and effective deep supervision | Link to μ−Net: Medical image segmentation using efficient and effective deep supervision

ROAD−R: The Autonomous Driving Dataset with Logical Requirements

Eleonora Giunchiglia‚ Mihaela Catalina Stoian‚ Salman Khan‚ Fabio Cuzzolin and Thomas Lukasiewicz

In Machine Learning. May, 2023.

Details about ROAD−R: The Autonomous Driving Dataset with Logical Requirements | BibTeX data for ROAD−R: The Autonomous Driving Dataset with Logical Requirements | Link to ROAD−R: The Autonomous Driving Dataset with Logical Requirements

Counter−GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns

Zhongbin Xie‚ Vid Kocijan‚ Thomas Lukasiewicz and Oana−Maria Camburu

In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics‚ EACL 2023‚ Dubrovnik‚ Croatia‚ 2–6 May 2023. Pages 3761–3773. Association for Computational Linguistics. May, 2023.

Details about Counter−GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns | BibTeX data for Counter−GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns | Link to Counter−GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns

Backpropagation at the Infinitesimal Inference Limit of Energy−Based Models: Unifying Predictive Coding‚ Equilibrium Propagation‚ and Contrastive Hebbian Learning

Beren Millidge‚ Yuhang Song‚ Tommaso Salvatori‚ Thomas Lukasiewicz and Rafal Bogacz

In Proceedings of the 11th International Conference on Learning Representations‚ ICLR 2023‚ Kigali‚ Rwanda‚ 1–5 May 2023. OpenReview.net. May, 2023.

Details about Backpropagation at the Infinitesimal Inference Limit of Energy−Based Models: Unifying Predictive Coding‚ Equilibrium Propagation‚ and Contrastive Hebbian Learning | BibTeX data for Backpropagation at the Infinitesimal Inference Limit of Energy−Based Models: Unifying Predictive Coding‚ Equilibrium Propagation‚ and Contrastive Hebbian Learning | Link to Backpropagation at the Infinitesimal Inference Limit of Energy−Based Models: Unifying Predictive Coding‚ Equilibrium Propagation‚ and Contrastive Hebbian Learning

A Theoretical Framework for Inference and Learning in Predictive Coding Networks

Beren Millidge‚ Yuhang Song‚ Tommaso Salvatori‚ Thomas Lukasiewicz and Rafal Bogacz

In Proceedings of the 11th International Conference on Learning Representations‚ ICLR 2023‚ Kigali‚ Rwanda‚ 1–5 May 2023. OpenReview.net. May, 2023.

Details about A Theoretical Framework for Inference and Learning in Predictive Coding Networks | BibTeX data for A Theoretical Framework for Inference and Learning in Predictive Coding Networks | Link to A Theoretical Framework for Inference and Learning in Predictive Coding Networks

Recurrent predictive coding models for associative memory employing covariance learning

Mufeng Tang‚ Tommaso Salvatori‚ Beren Millidge‚ Yuhang Song‚ Thomas Lukasiewicz and Rafal Bogacz

In PLOS Computational Biology. Vol. 19. No. 4. Pages e1010719. April, 2023.

Details about Recurrent predictive coding models for associative memory employing covariance learning | BibTeX data for Recurrent predictive coding models for associative memory employing covariance learning | Link to Recurrent predictive coding models for associative memory employing covariance learning

Painless and accurate medical image analysis using deep reinforcement learning with task−oriented homogenized automatic pre−processing

Di Yuan‚ Yunxin Liu‚ Zhenghua Xu‚ Yuefu Zhan‚ Junyang Chen and Thomas Lukasiewicz

In Computers in Biology and Medicine. Vol. 153. Pages 106487. February, 2023.

Details about Painless and accurate medical image analysis using deep reinforcement learning with task−oriented homogenized automatic pre−processing | BibTeX data for Painless and accurate medical image analysis using deep reinforcement learning with task−oriented homogenized automatic pre−processing | Link to Painless and accurate medical image analysis using deep reinforcement learning with task−oriented homogenized automatic pre−processing

PAC−Net: Multi−Pathway FPN with Position Attention Guided Connections and Vertex Distance IoU for 3D Medical Image Detection

Zhenghua Xu‚ Tianrun Li‚ Yunxin Liu‚ Yuefu Zhan‚ Junyang Chen and Thomas Lukasiewicz

In Frontiers in Bioengineering and Biotechnology. Vol. 11. Pages 1049555. February, 2023.

Details about PAC−Net: Multi−Pathway FPN with Position Attention Guided Connections and Vertex Distance IoU for 3D Medical Image Detection | BibTeX data for PAC−Net: Multi−Pathway FPN with Position Attention Guided Connections and Vertex Distance IoU for 3D Medical Image Detection | Link to PAC−Net: Multi−Pathway FPN with Position Attention Guided Connections and Vertex Distance IoU for 3D Medical Image Detection

Rationalizing Predictions by Adversarial Information Calibration

Lei Sha‚ Oana−Maria Camburu and Thomas Lukasiewicz

In Artificial Intelligence. Vol. 315. Pages 103828. February, 2023.

Details about Rationalizing Predictions by Adversarial Information Calibration | BibTeX data for Rationalizing Predictions by Adversarial Information Calibration | Link to Rationalizing Predictions by Adversarial Information Calibration

Large Language Models for Mathematicians

Simon Frieder‚ Julius Berner‚ Philipp Petersen and Thomas Lukasiewicz

In International Mathematical News. Vol. 254. Pages 1–20. December, 2023.

Details about Large Language Models for Mathematicians | BibTeX data for Large Language Models for Mathematicians

The Defeat of the Winograd Schema Challenge

Vid Kocijan‚ Ernest Davis‚ Thomas Lukasiewicz‚ Gary Marcus and Leora Morgenstern

In Artificial Intelligence. Vol. 325. No. 103971. December, 2023.

Details about The Defeat of the Winograd Schema Challenge | BibTeX data for The Defeat of the Winograd Schema Challenge | Link to The Defeat of the Winograd Schema Challenge

Improving Language Models’ Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary

Myeongjun Erik Jang and Thomas Lukasiewicz

In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing‚ EMNLP 2023‚ Singapore‚ December 6−10‚ 2023. Association for Computational Linguistics. December, 2023.

Details about Improving Language Models’ Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary | BibTeX data for Improving Language Models’ Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary

Consistency Analysis of ChatGPT

Myeongjun Erik Jang and Thomas Lukasiewicz

In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing‚ EMNLP 2023‚ Singapore‚ December 6−10‚ 2023. Association for Computational Linguistics. December, 2023.

Details about Consistency Analysis of ChatGPT | BibTeX data for Consistency Analysis of ChatGPT

Mathematical Capabilities of ChatGPT

Simon Frieder‚ Luca Pinchetti‚ Alexis Chevalier‚ Ryan−Rhys Griffiths‚ Tommaso Salvatori‚ Thomas Lukasiewicz‚ Philipp Christian Petersen and Julius Berner

In Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 3‚ NeurIPS Datasets and Benchmarks 2023‚ December 2023. December, 2023.

Details about Mathematical Capabilities of ChatGPT | BibTeX data for Mathematical Capabilities of ChatGPT

Hi−BEHRT: Hierarchical Transformer−Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records

Yikuan Li‚ Mohammad Mamouei‚ Gholamreza Salimi−Khorshidi‚ Shishir Rao‚ Abdelaali Hassaine‚ Dexter Canoy‚ Thomas Lukasiewicz and Kazem Rahimi

In IEEE Journal of Biomedical and Health Informatics. Vol. 27. No. 2. Pages 1106–1117. November, 2023.

Details about Hi−BEHRT: Hierarchical Transformer−Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records | BibTeX data for Hi−BEHRT: Hierarchical Transformer−Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records | Link to Hi−BEHRT: Hierarchical Transformer−Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records

Multi−Modal Contrastive Mutual Learning and Pseudo−Label Re−Learning for Semi−Supervised Medical Image Segmentation

Shuo Zhang‚ Jiaojiao Zhang‚ Biao Tian‚ Thomas Lukasiewicz and Zhenghua Xu

In Medical Image Analysis. Vol. 83. Pages 102656. January, 2023.

Details about Multi−Modal Contrastive Mutual Learning and Pseudo−Label Re−Learning for Semi−Supervised Medical Image Segmentation | BibTeX data for Multi−Modal Contrastive Mutual Learning and Pseudo−Label Re−Learning for Semi−Supervised Medical Image Segmentation | Link to Multi−Modal Contrastive Mutual Learning and Pseudo−Label Re−Learning for Semi−Supervised Medical Image Segmentation

Hybrid Reinforced Medical Report Generation with M−Linear Attention and Repetition Penalty

Zhenghua Xu‚ Wenting Xu‚ Ruizhi Wang‚ Junyang Chen‚ Chang Qi and Thomas Lukasiewicz

In IEEE Transactions on Neural Networks and Learning Systems. 2023.

Accepted for publication

Details about Hybrid Reinforced Medical Report Generation with M−Linear Attention and Repetition Penalty | BibTeX data for Hybrid Reinforced Medical Report Generation with M−Linear Attention and Repetition Penalty | Link to Hybrid Reinforced Medical Report Generation with M−Linear Attention and Repetition Penalty

Collaborative Attention Guided Multi−Scale Feature Fusion Network for Medical Image Segmentation

Zhenghua Xu‚ Biao Tian‚ Shijie Liu‚ Xiangtao Wang‚ Di Yuan‚ Junhua Gu‚ Junyang Chen‚ Thomas Lukasiewicz and Victor C. M. Leung

In IEEE Transactions on Network Science and Engineering. Vol. 11. No. 2. Pages 1857–1871. 2023.

Details about Collaborative Attention Guided Multi−Scale Feature Fusion Network for Medical Image Segmentation | BibTeX data for Collaborative Attention Guided Multi−Scale Feature Fusion Network for Medical Image Segmentation | Link to Collaborative Attention Guided Multi−Scale Feature Fusion Network for Medical Image Segmentation

Text attribute control via closed−loop disentanglement

Lei Sha and Thomas Lukasiewicz

In Transactions of the Association for Computational Linguistics (TACL). 2023.

Accepted for publication

Details about Text attribute control via closed−loop disentanglement | BibTeX data for Text attribute control via closed−loop disentanglement | Link to Text attribute control via closed−loop disentanglement

RIRGAN: An end−to−end lightweight multi−task learning method for brain MRI super−resolution and denoising

Miao Yu‚ Miaomiao Guo‚ Shuai Zhang‚ Yuefu Zhan‚ Mingkang Zhao‚ Thomas Lukasiewicz and Zhenghua Xu

In Computers in Biology and Medicine. Vol. 167. Pages 107632. 2023.

Details about RIRGAN: An end−to−end lightweight multi−task learning method for brain MRI super−resolution and denoising | BibTeX data for RIRGAN: An end−to−end lightweight multi−task learning method for brain MRI super−resolution and denoising | Link to RIRGAN: An end−to−end lightweight multi−task learning method for brain MRI super−resolution and denoising

Multi−ConDoS: Multimodal Contrastive Domain Sharing Generative Adversarial Networks for Self−Supervised Medical Image Segmentation

Jiaojiao Zhang‚ Shuo Zhang‚ Xiaoqian Shen‚ Thomas Lukasiewicz and Zhenghua Xu

In IEEE Transactions on Medical Imaging. 2023.

Details about Multi−ConDoS: Multimodal Contrastive Domain Sharing Generative Adversarial Networks for Self−Supervised Medical Image Segmentation | BibTeX data for Multi−ConDoS: Multimodal Contrastive Domain Sharing Generative Adversarial Networks for Self−Supervised Medical Image Segmentation

EFPN: Effective medical image detection using feature pyramid fusion enhancement

Zhenghua Xu‚ Xudong Zhang‚ Hexiang Zhang‚ Yunxin Liu‚ Yuefu Zhan and Thomas Lukasiewicz

In Computers in Biology and Medicine. Vol. 163. Pages 107149. 2023.

Details about EFPN: Effective medical image detection using feature pyramid fusion enhancement | BibTeX data for EFPN: Effective medical image detection using feature pyramid fusion enhancement | Link to EFPN: Effective medical image detection using feature pyramid fusion enhancement

MvCo−DoT: Multi−View Contrastive Domain Transfer Network for Medical Report Generation

Ruizhi Wang‚ Xiangtao Wang‚ Zhenghua Xu‚ Wenting Xu‚ Junyang Chen and Thomas Lukasiewicz

In Proceedings of the IEEE International Conference on Acoustics‚ Speech and Signal Processing‚ ICASSP 2023‚ Rhodes Island‚ Greece‚ 4−10 June 2023. IEEE. 2023.

Details about MvCo−DoT: Multi−View Contrastive Domain Transfer Network for Medical Report Generation | BibTeX data for MvCo−DoT: Multi−View Contrastive Domain Transfer Network for Medical Report Generation

MPS−AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self−Supervised Medical Image Segmentation

Xiangtao Wang‚ Ruizhi Wang‚ Tian Biao‚ Jiaojiao Zhang‚ Shuo Zhang‚ Junyang Chen‚ Thomas Lukasiewicz and Zhenghua Xu

In Proceedings of the IEEE International Conference on Acoustics‚ Speech and Signal Processing‚ ICASSP 2023‚ Rhodes Island‚ Greece‚ 4−10 June 2023. IEEE. 2023.

Details about MPS−AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self−Supervised Medical Image Segmentation | BibTeX data for MPS−AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self−Supervised Medical Image Segmentation

Multi−Head Feature Pyramid Networks for Breast Mass Detection

Hexiang Zhang‚ Zhenghua Xu‚ Dan Yao‚ Shuo Zhang‚ Junyang Chen and Thomas Lukasiewicz

In Proceedings of the IEEE International Conference on Acoustics‚ Speech and Signal Processing‚ ICASSP 2023‚ Rhodes Island‚ Greece‚ 4−10 June 2023. IEEE. 2023.

Details about Multi−Head Feature Pyramid Networks for Breast Mass Detection | BibTeX data for Multi−Head Feature Pyramid Networks for Breast Mass Detection

Adaptive−Masking Policy with Deep Reinforcement Learning for Self−Supervised Medical Image Segmentation

Gang Xu‚ Shengxin Wang‚ Thomas Lukasiewicz and Zhenghua Xu

In Proceedings of the IEEE International Conference on Multimedia and Expo‚ ICME 2023‚ Brisbane‚ Australia‚ July 10−14‚ 2023. IEEE. 2023.

Details about Adaptive−Masking Policy with Deep Reinforcement Learning for Self−Supervised Medical Image Segmentation | BibTeX data for Adaptive−Masking Policy with Deep Reinforcement Learning for Self−Supervised Medical Image Segmentation

Explaining Chest X−ray Pathologies in Natural Language

Maxime Kayser‚ Cornelius Emde‚ Oana Camburu‚ Guy Parsons‚ Bartlomiej Papiez and Thomas Lukasiewicz

In Linwei Wang‚ Qi Dou‚ P. Thomas Fletcher‚ Stefanie Speidel and Shuo Li, editors, Proceedings of the 25th International Conference on Medical Image Computing and Computer−Assisted Intervention‚ MICCAI 2022‚ Singapore‚ 18–22 September 2022. Vol. 13435 of Lecture Notes in Computer Science (LNCS). Pages 701–713. Springer. September, 2022.

Details about Explaining Chest X−ray Pathologies in Natural Language | BibTeX data for Explaining Chest X−ray Pathologies in Natural Language | Link to Explaining Chest X−ray Pathologies in Natural Language

ω−Net: Dual Supervised Medical Image Segmentation with Multi−Dimensional Self−Attention and Diversely−Connected Multi−Scale Convolution

Zhenghua Xu‚ Shijie Liu‚ Di Yuan‚ Lei Wang‚ Junyang Chen‚ Thomas Lukasiewicz‚ Zhigang Fu and Rui Zhang

In Neurocomputing. Vol. 500. Pages 177−190. August, 2022.

Details about ω−Net: Dual Supervised Medical Image Segmentation with Multi−Dimensional Self−Attention and Diversely−Connected Multi−Scale Convolution | BibTeX data for ω−Net: Dual Supervised Medical Image Segmentation with Multi−Dimensional Self−Attention and Diversely−Connected Multi−Scale Convolution | Link to ω−Net: Dual Supervised Medical Image Segmentation with Multi−Dimensional Self−Attention and Diversely−Connected Multi−Scale Convolution

NoiER: An Approach for Training more Reliable Fine−Tuned Downstream Task Models

Myeongjun Jang and Thomas Lukasiewicz

In IEEE Transactions on Audio‚ Speech and Language Processing. Vol. 30. Pages 2514–2525. July, 2022.

Details about NoiER: An Approach for Training more Reliable Fine−Tuned Downstream Task Models | BibTeX data for NoiER: An Approach for Training more Reliable Fine−Tuned Downstream Task Models | Link to NoiER: An Approach for Training more Reliable Fine−Tuned Downstream Task Models

Knowledge−Grounded Self−Rationalization via Extractive and Natural Language Explanations

Bodhisattwa Prasad Majumder‚ Oana−Maria Camburu‚ Thomas Lukasiewicz and Julian McAuley

In Kamalika Chaudhuri‚ Stefanie Jegelka‚ Le Song‚ Csaba Szepesvari‚ Gang Niu and Sivan Sabato, editors, Proceedings of the 39th International Conference on Machine Learning‚ ICML 2022‚ Baltimore‚ Maryland‚ USA‚ 17−23 July 2022. Vol. 162 of Proceedings of Machine Learning Research. Pages 14786–14801. PMLR. July, 2022.

Details about Knowledge−Grounded Self−Rationalization via Extractive and Natural Language Explanations | BibTeX data for Knowledge−Grounded Self−Rationalization via Extractive and Natural Language Explanations | Link to Knowledge−Grounded Self−Rationalization via Extractive and Natural Language Explanations

(Non−)Convergence Results for Predictive Coding Networks

Simon Frieder and Thomas Lukasiewicz

In Kamalika Chaudhuri‚ Stefanie Jegelka‚ Le Song‚ Csaba Szepesvari‚ Gang Niu and Sivan Sabato, editors, Proceedings of the 39th International Conference on Machine Learning‚ ICML 2022‚ Baltimore‚ Maryland‚ USA‚ 17−23 July 2022. Vol. 162 of Proceedings of Machine Learning Research. Pages 6793–6810. PMLR. July, 2022.

Details about (Non−)Convergence Results for Predictive Coding Networks | BibTeX data for (Non−)Convergence Results for Predictive Coding Networks | Link to (Non−)Convergence Results for Predictive Coding Networks

Universal Hopfield Networks: A General Framework for Single−Shot Associative Memory Models

Beren Millidge‚ Tommaso Salvatori‚ Yuhang Song‚ Thomas Lukasiewicz and Rafal Bogacz

In Kamalika Chaudhuri‚ Stefanie Jegelka‚ Le Song‚ Csaba Szepesvari‚ Gang Niu and Sivan Sabato, editors, Proceedings of the 39th International Conference on Machine Learning‚ ICML 2022‚ Baltimore‚ Maryland‚ USA‚ 17−23 July 2022. Vol. 162 of Proceedings of Machine Learning Research. Pages 15561–15583. PMLR. July, 2022.

Details about Universal Hopfield Networks: A General Framework for Single−Shot Associative Memory Models | BibTeX data for Universal Hopfield Networks: A General Framework for Single−Shot Associative Memory Models | Link to Universal Hopfield Networks: A General Framework for Single−Shot Associative Memory Models

NP−Match: When Neural Processes meet Semi−Supervised Learning

Jianfeng Wang‚ Thomas Lukasiewicz‚ Daniela Massiceti‚ Xiaolin Hu‚ Vladimir Pavlovic and Alexandros Neophytou

In Kamalika Chaudhuri‚ Stefanie Jegelka‚ Le Song‚ Csaba Szepesvari‚ Gang Niu and Sivan Sabato, editors, Proceedings of the 39th International Conference on Machine Learning‚ ICML 2022‚ Baltimore‚ Maryland‚ USA‚ 17−23 July 2022. Vol. 162 of Proceedings of Machine Learning Research. PMLR. July, 2022.

Details about NP−Match: When Neural Processes meet Semi−Supervised Learning | BibTeX data for NP−Match: When Neural Processes meet Semi−Supervised Learning | Link to NP−Match: When Neural Processes meet Semi−Supervised Learning

Explanations for Negative Query Answers under Inconsistency−Tolerant Semantics

Thomas Lukasiewicz‚ Enrico Malizia and Cristian Molinaro

In Luc De Raedt, editor, Proceedings of the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence‚ IJCAI−ECAI 2022‚ Vienna‚ Austria‚ July 23−29‚ 2022. Pages 2705–2711. IJCAI/AAAI Press. July, 2022.

Details about Explanations for Negative Query Answers under Inconsistency−Tolerant Semantics | BibTeX data for Explanations for Negative Query Answers under Inconsistency−Tolerant Semantics | Link to Explanations for Negative Query Answers under Inconsistency−Tolerant Semantics

Beyond Distributional Hypothesis: Let Language Models Learn Meaning−Text Correspondence

Myeongjun Jang‚ Frank Martin Mtumbuka and Thomas Lukasiewicz

In Findings of NAACL 2022‚ Seattle‚ Washington‚ USA‚ July 2022. Pages 2030–2042. Association for Computational Linguistics. July, 2022.

Details about Beyond Distributional Hypothesis: Let Language Models Learn Meaning−Text Correspondence | BibTeX data for Beyond Distributional Hypothesis: Let Language Models Learn Meaning−Text Correspondence | Link to Beyond Distributional Hypothesis: Let Language Models Learn Meaning−Text Correspondence

Predictive Coding: Towards a Future of Deep Learning Beyond Backpropagation?

Beren Millidge‚ Tommaso Salvatori‚ Yuhang Song‚ Rafal Bogacz and Thomas Lukasiewicz

In Luc De Raedt, editor, Proceedings of the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence‚ IJCAI−ECAI 2022‚ Survey Track‚ Vienna‚ Austria‚ July 23−29‚ 2022. Pages 5538–5545. IJCAI/AAAI Press. July, 2022.

Details about Predictive Coding: Towards a Future of Deep Learning Beyond Backpropagation? | BibTeX data for Predictive Coding: Towards a Future of Deep Learning Beyond Backpropagation? | Link to Predictive Coding: Towards a Future of Deep Learning Beyond Backpropagation?

Deep Learning with Logical Constraints

Eleonora Giunchiglia‚ Mihaela Catalina Stoian and Thomas Lukasiewicz

In Luc De Raedt, editor, Proceedings of the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence‚ IJCAI−ECAI 2022‚ Survey Track‚ Vienna‚ Austria‚ July 23−29‚ 2022. Pages 5478–5485. IJCAI/AAAI Press. July, 2022.

Details about Deep Learning with Logical Constraints | BibTeX data for Deep Learning with Logical Constraints | Link to Deep Learning with Logical Constraints

Inconsistency−Tolerant Query Answering for Existential Rules

Thomas Lukasiewicz‚ Enrico Malizia‚ Maria Vanina Martinez‚ Cristian Molinaro‚ Andreas Pieris and Gerardo I. Simari

In Artificial Intelligence. Vol. 307. Pages 103685. June, 2022.

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Rethinking Bayesian Deep Learning Methods for Semi−Supervised Volumetric Medical Image Segmentation

Jianfeng Wang and Thomas Lukasiewicz

In Proceedings of the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition‚ CVPR 2022‚ New Orleans‚ Louisiana‚ USA‚ June 19–24‚ 2022. Pages 182–190. June, 2022.

Details about Rethinking Bayesian Deep Learning Methods for Semi−Supervised Volumetric Medical Image Segmentation | BibTeX data for Rethinking Bayesian Deep Learning Methods for Semi−Supervised Volumetric Medical Image Segmentation | Link to Rethinking Bayesian Deep Learning Methods for Semi−Supervised Volumetric Medical Image Segmentation

An Explainable Transformer−Based Deep Learning Model for the Prediction of Incident Heart Failure

Shishir Rao‚ Yikuan Li‚ Rema Ramakrishnan‚ Abdelaali Hassaine‚ Dexter Canoy‚ John Cleland‚ Thomas Lukasiewicz‚ Gholamreza Salimi−Khorshidi and Kazem Rahimi

In IEEE Journal of Biomedical and Health Informatics. Vol. 26. No. 7. Pages 3362−3372. February, 2022.

Details about An Explainable Transformer−Based Deep Learning Model for the Prediction of Incident Heart Failure | BibTeX data for An Explainable Transformer−Based Deep Learning Model for the Prediction of Incident Heart Failure | Link to An Explainable Transformer−Based Deep Learning Model for the Prediction of Incident Heart Failure

Complexity Results for Preference Aggregation over (m)CP−Nets: Max and Rank Voting

Thomas Lukasiewicz and Enrico Malizia

In Artificial Intelligence. Vol. 303. Pages 103636. February, 2022.

Details about Complexity Results for Preference Aggregation over (m)CP−Nets: Max and Rank Voting | BibTeX data for Complexity Results for Preference Aggregation over (m)CP−Nets: Max and Rank Voting | Link to Complexity Results for Preference Aggregation over (m)CP−Nets: Max and Rank Voting

Reverse Differentiation via Predictive Coding

Tommaso Salvatori‚ Yuhang Song‚ Zhenghua Xu‚ Thomas Lukasiewicz and Rafal Bogacz

In Proceedings of the 36th AAAI Conference on Artificial Intelligence‚ AAAI 2022‚ Vancouver‚ BC‚ Canada‚ February 22 – March 1‚ 2022. Pages 8150–8158. AAAI Press. February, 2022.

Details about Reverse Differentiation via Predictive Coding | BibTeX data for Reverse Differentiation via Predictive Coding | Link to Reverse Differentiation via Predictive Coding

Learning to Model Multimodal Semantic Alignment for Story Visualization

Bowen Li and Thomas Lukasiewicz

In Findings of EMNLP 2022. Pages 4712–4718. Association for Computational Linguistics. December, 2022.

Details about Learning to Model Multimodal Semantic Alignment for Story Visualization | BibTeX data for Learning to Model Multimodal Semantic Alignment for Story Visualization | Link to Learning to Model Multimodal Semantic Alignment for Story Visualization

Few−Shot Out−of−Domain Transfer Learning of Natural Language Explanations in a Label−Abundant Setup

Yordan Yordanov‚ Vid Kocijan‚ Thomas Lukasiewicz and Oana−Maria Camburu

In Findings of EMNLP 2022. Pages 3486–3501. Association for Computational Linguistics. December, 2022.

Details about Few−Shot Out−of−Domain Transfer Learning of Natural Language Explanations in a Label−Abundant Setup | BibTeX data for Few−Shot Out−of−Domain Transfer Learning of Natural Language Explanations in a Label−Abundant Setup | Link to Few−Shot Out−of−Domain Transfer Learning of Natural Language Explanations in a Label−Abundant Setup

Syntactically Rich Discriminative Training: An Effective Method for Open Information Extraction

Frank Mtumbuka and Thomas Lukasiewicz

In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing‚ EMNLP 2022‚ Online and in Abu Dhabi‚ December 7–11‚ 2021. Pages 5972–5987. Association for Computational Linguistics. December, 2022.

Details about Syntactically Rich Discriminative Training: An Effective Method for Open Information Extraction | BibTeX data for Syntactically Rich Discriminative Training: An Effective Method for Open Information Extraction | Link to Syntactically Rich Discriminative Training: An Effective Method for Open Information Extraction

Efficient Deep Clustering of Human Activities and How to Improve Evaluation

Louis Mahon and Thomas Lukasiewicz

In Emtiyaz Khan and Mehmet Gonen, editors, Proceedings of the 14th Asian Conference on Machine Learning‚ ACML 2022‚ Hyderabad‚ India‚ 12–14 December 2022. Vol. 189 of Proceedings of Machine Learning Research. Pages 722–737. PMLR. December, 2022.

Details about Efficient Deep Clustering of Human Activities and How to Improve Evaluation | BibTeX data for Efficient Deep Clustering of Human Activities and How to Improve Evaluation | Link to Efficient Deep Clustering of Human Activities and How to Improve Evaluation

Image−to−Image Translation with Text Guidance

Bowen Li‚ Philip Torr and Thomas Lukasiewicz

In Proceedings of the 33rd British Machine Vision Conference 2022‚ BMVC 2022‚ London‚ UK‚ November 21−24‚ 2022. Pages 581. November, 2022.

Details about Image−to−Image Translation with Text Guidance | BibTeX data for Image−to−Image Translation with Text Guidance | Link to Image−to−Image Translation with Text Guidance

Memory−Driven Text−to−Image Generation

Bowen Li‚ Philip Torr and Thomas Lukasiewicz

In Proceedings of the 33rd British Machine Vision Conference 2022‚ BMVC 2022‚ London‚ UK‚ November 21−24‚ 2022. Pages 726. November, 2022.

Details about Memory−Driven Text−to−Image Generation | BibTeX data for Memory−Driven Text−to−Image Generation | Link to Memory−Driven Text−to−Image Generation

Learning on Arbitrary Graph Topologies via Predictive Coding

Tommaso Salvatori‚ Luca Pinchetti‚ Beren Millidge‚ Yuhang Song‚ Tianyi Bao‚ Rafal Bogacz and Thomas Lukasiewicz

In Proceedings of the 36th Annual Conference on Neural Information Processing Systems‚ NeurIPS 2022‚ New Orleans‚ Louisiana‚ USA. Pages 38232–38244. November, 2022.

Details about Learning on Arbitrary Graph Topologies via Predictive Coding | BibTeX data for Learning on Arbitrary Graph Topologies via Predictive Coding | Link to Learning on Arbitrary Graph Topologies via Predictive Coding

Predictive Coding Beyond Gaussian Distributions

Luca Pinchetti‚ Tommaso Salvatori‚ Yordan Yordanov‚ Beren Millidge‚ Yuhang Song and Thomas Lukasiewicz

In Proceedings of the 36th Annual Conference on Neural Information Processing Systems‚ NeurIPS 2022‚ New Orleans‚ Louisiana‚ USA. Pages 1280–1293. November, 2022.

Details about Predictive Coding Beyond Gaussian Distributions | BibTeX data for Predictive Coding Beyond Gaussian Distributions | Link to Predictive Coding Beyond Gaussian Distributions

BECEL: Benchmark for Consistency Evaluation of Language Models

Myeongjun Jang‚ Deuk Sin Kwon and Thomas Lukasiewicz

In Proceedings of the 29th International Conference on Computational Linguistics‚ COLING 2022‚ Gyeongju‚ Republic of Korea‚ October 2022. Pages 3680–3696. International Committee on Computational Linguistics. October, 2022.

Details about BECEL: Benchmark for Consistency Evaluation of Language Models | BibTeX data for BECEL: Benchmark for Consistency Evaluation of Language Models | Link to BECEL: Benchmark for Consistency Evaluation of Language Models

Clustering Generative Adversarial Networks for Story Visualization

Bowen Li‚ Philip Torr and Thomas Lukasiewicz

In Proceedings of the 30th ACM Multimedia Conference‚ ACM MM 2022‚ Lisbon‚ Portugal‚ 10–14 October. Pages 769–778. ACM Press. October, 2022.

Details about Clustering Generative Adversarial Networks for Story Visualization | BibTeX data for Clustering Generative Adversarial Networks for Story Visualization | Link to Clustering Generative Adversarial Networks for Story Visualization

Toward Knowledge as a Service (KaaS): Predicting Popularity of Knowledge Services Leveraging Graph Neural Networks

Haozhe Lin‚ Yushun Fan‚ Jia Zhang‚ Bing Bai‚ Zhenghua Xu and Thomas Lukasiewicz

In IEEE Transactions on Services Computing. Vol. 16. No. 1. Pages 642–655. January, 2022.

Details about Toward Knowledge as a Service (KaaS): Predicting Popularity of Knowledge Services Leveraging Graph Neural Networks | BibTeX data for Toward Knowledge as a Service (KaaS): Predicting Popularity of Knowledge Services Leveraging Graph Neural Networks | Link to Toward Knowledge as a Service (KaaS): Predicting Popularity of Knowledge Services Leveraging Graph Neural Networks

Democratizing Financial Knowledge Graph Construction by Mining Massive Brokerage Research Reports

Zehua Cheng‚ Lianlong Wu‚ Thomas Lukasiewicz‚ Emanuel Sallinger and Georg Gottlob

In Maya Ramanath and Themis Palpanas, editors, Proceedings of the Workshops of the EDBT/ICDT 2022 Joint Conference‚ Edinburgh‚ UK‚ March 29‚ 2022. Vol. 3135 of CEUR Workshop Proceedings. CEUR−WS.org. 2022.

Details about Democratizing Financial Knowledge Graph Construction by Mining Massive Brokerage Research Reports | BibTeX data for Democratizing Financial Knowledge Graph Construction by Mining Massive Brokerage Research Reports | Download (pdf) of Democratizing Financial Knowledge Graph Construction by Mining Massive Brokerage Research Reports

Query Answer Explanations under Existential Rules

İsmail İlkan Ceylan‚ Thomas Lukasiewicz‚ Enrico Malizia and Andrius Vaicenavicius

In Giuseppe Amato‚ Valentina Bartalesi‚ Devis Bianchini‚ Claudio Gennaro and Riccardo Torlone, editors, Proceedings of the 30th Italian Symposium on Advanced Database Systems‚ SEBD 2022‚ Tirrenia (PI)‚ Italy‚ June 19−22‚ 2022. Vol. 3194 of CEUR Workshop Proceedings. Pages 481–488. CEUR−WS.org. 2022.

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Explanations for Inconsistency−Tolerant Query Answering under Existential Rules

Thomas Lukasiewicz‚ Enrico Malizia and Cristian Molinaro

In Giuseppe Amato‚ Valentina Bartalesi‚ Devis Bianchini‚ Claudio Gennaro and Riccardo Torlone, editors, Proceedings of the 30th Italian Symposium on Advanced Database Systems‚ SEBD 2022‚ Tirrenia (PI)‚ Italy‚ June 19−22‚ 2022. Vol. 3194 of CEUR Workshop Proceedings. Pages 489–496. CEUR−WS.org. 2022.

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Complexity of Inconsistency−Tolerant Query Answering in Datalog+/ under Cardinality−Based Repairs

Thomas Lukasiewicz‚ Enrico Malizia and Andrius Vaicenavicius

In Giuseppe Amato‚ Valentina Bartalesi‚ Devis Bianchini‚ Claudio Gennaro and Riccardo Torlone, editors, Proceedings of the 30th Italian Symposium on Advanced Database Systems‚ SEBD 2022‚ Tirrenia (PI)‚ Italy‚ June 19−22‚ 2022. Vol. 3194 of CEUR Workshop Proceedings. Pages 530–537. CEUR−WS.org. 2022.

Details about Complexity of Inconsistency−Tolerant Query Answering in Datalog+/ under Cardinality−Based Repairs | BibTeX data for Complexity of Inconsistency−Tolerant Query Answering in Datalog+/ under Cardinality−Based Repairs | Download (pdf) of Complexity of Inconsistency−Tolerant Query Answering in Datalog+/ under Cardinality−Based Repairs

The Surprising Power of Graph Neural Networks with Random Node Initialization

Ralph Abboud‚ İsmail İlkan Ceylan‚ Martin Grohe and Thomas Lukasiewicz

In Proceedings of the 30th International Joint Conference on Artificial Intelligence‚ IJCAI 2021‚ August 21–26‚ 2021. IJCAI. August, 2021.

Details about The Surprising Power of Graph Neural Networks with Random Node Initialization | BibTeX data for The Surprising Power of Graph Neural Networks with Random Node Initialization | Link to The Surprising Power of Graph Neural Networks with Random Node Initialization

An Ontology−Based Deep Learning Approach for Triple Classification with Out−of−Knowledge−Base Entities

Elvira Amador−Domı́nguez‚ Emilio Serrano‚ Daniel Manrique‚ Patrick Hohenecker and Thomas Lukasiewicz

In Information Sciences. Vol. 564. Pages 85–102. July, 2021.

Details about An Ontology−Based Deep Learning Approach for Triple Classification with Out−of−Knowledge−Base Entities | BibTeX data for An Ontology−Based Deep Learning Approach for Triple Classification with Out−of−Knowledge−Base Entities | Link to An Ontology−Based Deep Learning Approach for Triple Classification with Out−of−Knowledge−Base Entities

RSG: A Simple yet Effective Module for Learning Imbalanced Datasets

Jianfeng Wang‚ Thomas Lukasiewicz‚ Xiaolin Hu‚ Jianfei Cai and Zhenghua Xu

In Proceedings of the 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition‚ CVPR 2021‚ Virtual‚ June 19–25‚ 2021. June, 2021.

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Associative Memories via Predictive Coding

Tommaso Salvatori‚ Yuhang Song‚ Yujian Hong‚ Simon Frieder‚ Lei Sha‚ Zhenghua Xu‚ Rafal Bogacz and Thomas Lukasiewicz

In Proceedings of the 35th Annual Conference on Neural Information Processing Systems‚ NeurIPS 2021. December, 2021.

Details about Associative Memories via Predictive Coding | BibTeX data for Associative Memories via Predictive Coding | Link to Associative Memories via Predictive Coding

Multi−Label Classification Neural Networks with Hard Logical Constraints

Eleonora Giunchiglia and Thomas Lukasiewicz

In Journal of Artificial Intelligence Research. Vol. 72. Pages 759–818. November, 2021.

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Knowledge Base Completion Meets Transfer Learning

Vid Kocijan and Thomas Lukasiewicz

In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing‚ EMNLP 2021‚ Online and in the Barceló Bávaro Convention Centre‚ Punta Cana‚ Dominican Republic‚ November 7–11‚ 2021. November, 2021.

Details about Knowledge Base Completion Meets Transfer Learning | BibTeX data for Knowledge Base Completion Meets Transfer Learning | Link to Knowledge Base Completion Meets Transfer Learning

Lightweight Visual Question Answering using Scene Graphs

Vidyaranya Sai Nuthalapati‚ Ramraj Chandradevan‚ Eleonora Giunchiglia‚ Bowen Li‚ Maxime Kayser‚ Thomas Lukasiewicz and Carl Yang

In Proceedings of the 30th International Conference on Information and Knowledge Management‚ CIKM 2021‚ Gold Coast‚ Queensland‚ Australia‚ November 1–5‚ 2021. ACM Press. November, 2021.

Details about Lightweight Visual Question Answering using Scene Graphs | BibTeX data for Lightweight Visual Question Answering using Scene Graphs | Link to Lightweight Visual Question Answering using Scene Graphs

Deep Bayesian Gaussian Processes for Uncertainty Estimation in Electronic Health Records

Yikuan Li‚ Shishir Rao‚ Abdelaali Hassaine‚ Rema Ramakrishnan‚ Dexter Canoy‚ Gholamreza Salimi−Khorshidi‚ Mohammad Mamouei‚ Thomas Lukasiewicz and Kazem Rahimi

In Scientific Reports. Vol. 11. Pages 20685:1–13. October, 2021.

Details about Deep Bayesian Gaussian Processes for Uncertainty Estimation in Electronic Health Records | BibTeX data for Deep Bayesian Gaussian Processes for Uncertainty Estimation in Electronic Health Records | Link to Deep Bayesian Gaussian Processes for Uncertainty Estimation in Electronic Health Records

Stable Model Semantics for Guarded Existential Rules and Description Logics: Decidability and Complexity

Georg Gottlob‚ André Hernich‚ Clemens Kupke and Thomas Lukasiewicz

In Journal of the ACM. Vol. 68. No. 5. Pages 35:1–87. October, 2021.

Details about Stable Model Semantics for Guarded Existential Rules and Description Logics: Decidability and Complexity | BibTeX data for Stable Model Semantics for Guarded Existential Rules and Description Logics: Decidability and Complexity | Link to Stable Model Semantics for Guarded Existential Rules and Description Logics: Decidability and Complexity

e−ViL: A Dataset and Benchmark for Natural Language Explanations in Vision−Language Tasks

Maxime Kayser‚ Oana−Maria Camburu‚ Leonard Salewski‚ Cornelius Emde‚ Virginie Do‚ Zeynep Akata and Thomas Lukasiewicz

In Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision‚ ICCV 2021‚ Virtual Conference‚ October 11–17‚ 2021. October, 2021.

Details about e−ViL: A Dataset and Benchmark for Natural Language Explanations in Vision−Language Tasks | BibTeX data for e−ViL: A Dataset and Benchmark for Natural Language Explanations in Vision−Language Tasks | Link to e−ViL: A Dataset and Benchmark for Natural Language Explanations in Vision−Language Tasks

Controlling Text Edition by Changing Answers of Specific Questions

Lei Sha‚ Patrick Hohenecker and Thomas Lukasiewicz

In Findings of ACL. 2021.

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Selective Pseudo−Label Clustering

Louis Mahon and Thomas Lukasiewicz

In Proceedings of the 44th German Conference on Artificial Intelligence‚ KI 2021‚ Berlin‚ Germany‚ 2021. Springer. 2021.

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Preferred Explanations for Ontology−Mediated Queries under Existential Rules

İsmail İlkan Ceylan‚ Thomas Lukasiewicz‚ Enrico Malizia‚ Cristian Molinaro and Andrius Vaicenavičius

In Kevin Leyton−Brown and Mausam, editors, Proceedings of the 35th AAAI Conference on Artificial Intelligence‚ AAAI 2021‚ Virtual Conference‚ February 2–9‚ 2021. AAAI Press. 2021.

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The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias−Measuring Datasets

Vid Kocijan‚ Oana−Maria Camburu and Thomas Lukasiewicz

In Kevin Leyton−Brown and Mausam, editors, Proceedings of the 35th AAAI Conference on Artificial Intelligence‚ AAAI 2021‚ Virtual Conference‚ February 2–9‚ 2021. AAAI Press. 2021.

Details about The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias−Measuring Datasets | BibTeX data for The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias−Measuring Datasets | Link to The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias−Measuring Datasets

Multi−Type Disentanglement without Adversarial Training

Lei Sha and Thomas Lukasiewicz

In Kevin Leyton−Brown and Mausam, editors, Proceedings of the 35th AAAI Conference on Artificial Intelligence‚ AAAI 2021‚ Virtual Conference‚ February 2–9‚ 2021. AAAI Press. 2021.

Details about Multi−Type Disentanglement without Adversarial Training | BibTeX data for Multi−Type Disentanglement without Adversarial Training | Link to Multi−Type Disentanglement without Adversarial Training

Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration

Lei Sha‚ Oana−Maria Camburu and Thomas Lukasiewicz

In Kevin Leyton−Brown and Mausam, editors, Proceedings of the 35th AAAI Conference on Artificial Intelligence‚ AAAI 2021‚ Virtual Conference‚ February 2–9‚ 2021. AAAI Press. 2021.

Details about Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration | BibTeX data for Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration | Link to Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration

Explanations for Negative Query Answers under Existential Rules

İsmail İlkan Ceylan‚ Thomas Lukasiewicz‚ Enrico Malizia‚ Cristian Molinaro and Andrius Vaicenavičius

In Diego Calvanese and Esra Erdem, editors, Proceedings of 17th International Conference on Principles of Knowledge Representation and Reasoning‚ KR 2020‚ Rhodes‚ Greece‚ September 12−18‚ 2020. AAAI Press. September, 2020.

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Ontology Reasoning with Deep Neural Networks

Patrick Hohenecker and Thomas Lukasiewicz

In Journal of Artificial Intelligence Research (JAIR). Vol. 68. Pages 503–540. July, 2020.

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Ontology Reasoning with Deep Neural Networks (Extended Abstract)

Patrick Hohenecker and Thomas Lukasiewicz

In Proceedings of the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence‚ IJCAI−PRICAI 2020‚ Yokohama‚ Japan‚ July 11−17‚ 2020. IJCAI/AAAI Press. July, 2020.

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Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations

Oana−Maria Camburu‚ Brendan Shillingford‚ Pasquale Minervini‚ Thomas Lukasiewicz and Phil Blunsom

In Joyce Chai‚ Natalie Schluter and Joel Tetreault, editors, Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics‚ ACL 2020‚ Seattle‚ Washington‚ USA‚ July 5 − 10‚ 2020. Association for Computational Linguistics. July, 2020.

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ManiGAN: Text−Guided Image Manipulation

Bowen Li‚ Xiaojuan Qi‚ Thomas Lukasiewicz and Philip H. S. Torr

In Ce Liu‚ Greg Mori‚ Kate Saenko and Silvio Savarese, editors, Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition‚ CVPR 2020‚ Seattle‚ Washington‚ USA‚ June 14−19‚ 2020. Pages 7880–7889. CVF/IEEE. June, 2020.

Details about ManiGAN: Text−Guided Image Manipulation | BibTeX data for ManiGAN: Text−Guided Image Manipulation | DOI (https://doi.org/10.1109/CVPR42600.2020.00790) | Link to ManiGAN: Text−Guided Image Manipulation

Explanations for Ontology−Mediated Query Answering in Description Logics

İsmail İlkan Ceylan‚ Thomas Lukasiewicz‚ Enrico Malizia and Andrius Vaicenavičius

In Giuseppe De Giacomo, editor, Proceedings of the 24th European Conference on Artificial Intelligence‚ ECAI 2020‚ Santiago de Compostela‚ Spain‚ June 8–12‚ 2020. IOS Press. June, 2020.

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Hybrid Deep−Semantic Matrix Factorization for Tag−Aware Personalized Recommendation

Zhenghua Xu‚ Di Yuan‚ Thomas Lukasiewicz‚ Cheng Chen‚ Yishu Miao and Guizhi Xu

In Proceedings of the 2020 IEEE International Conference on Acoustics‚ Speech and Signal Processing‚ ICASSP 2020‚ Barcelona‚ Spain‚ May 4–8‚ 2020. IEEE Computer Society. May, 2020.

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Partially Observable Game−Theoretic Agent Programming in Golog

Alberto Finzi and Thomas Lukasiewicz

In International Journal of Approximate Reasoning. Vol. 119. Pages 220–241. April, 2020.

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Combining RDF and SPARQL with CP−Theories to Reason about Preferences in a Linked Data Setting

Jessica Rosati‚ Tommaso Di Noia‚ Renato De Leone‚ Thomas Lukasiewicz and Vito Walter Anelli

In Semantic Web. Vol. 11. No. 3. Pages 391–419. April, 2020.

Details about Combining RDF and SPARQL with CP−Theories to Reason about Preferences in a Linked Data Setting | BibTeX data for Combining RDF and SPARQL with CP−Theories to Reason about Preferences in a Linked Data Setting | Link to Combining RDF and SPARQL with CP−Theories to Reason about Preferences in a Linked Data Setting

Neural Networks for Approximate DNF Counting: An Abridged Report

Ralph Abboud‚ İsmail İlkan Ceylan and Thomas Lukasiewicz

In Lingfei Wu‚ Jian Tang‚ Yinglong Xia and Charu Aggarwal, editors, Proceedings of the 1st International Workshop on Deep Learning on Graphs: Methodologies and Applications‚ DLGMA 2020‚ New York‚ New York‚ USA‚ February 8‚ 2020. February, 2020.

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Arena: A General Evaluation Platform and Building Toolkit for Multi−Agent Intelligence

Yuhang Song‚ Andrzej Wojcicki‚ Thomas Lukasiewicz‚ Jianyi Wang‚ Abi Aryan‚ Zhenghua Xu‚ Mai Xu‚ Zihan Ding and Lianlong Wu

In Vincent Conitzer and Fei Sha, editors, Proceedings of the 34th National Conference on Artificial Intelligence‚ AAAI 2020‚ New York‚ New York‚ USA‚ February 7–12‚ 2020. AAAI Press. February, 2020.

Details about Arena: A General Evaluation Platform and Building Toolkit for Multi−Agent Intelligence | BibTeX data for Arena: A General Evaluation Platform and Building Toolkit for Multi−Agent Intelligence | Link to Arena: A General Evaluation Platform and Building Toolkit for Multi−Agent Intelligence

Mega−Reward: Achieving Human−Level Play without Extrinsic Rewards

Yuhang Song‚ Jianyi Wang‚ Thomas Lukasiewicz‚ Zhenghua Xu‚ Shangtong Zhang‚ Andrzej Wojcicki and Mai Xu

In Vincent Conitzer and Fei Sha, editors, Proceedings of the 34th National Conference on Artificial Intelligence‚ AAAI 2020‚ New York‚ New York‚ USA‚ February 7–12‚ 2020. AAAI Press. February, 2020.

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Explanations for Inconsistency−Tolerant Query Answering under Existential Rules

Thomas Lukasiewicz‚ Enrico Malizia and Cristian Molinaro

In Vincent Conitzer and Fei Sha, editors, Proceedings of the 34th National Conference on Artificial Intelligence‚ AAAI 2020‚ New York‚ New York‚ USA‚ February 7–12‚ 2020. AAAI Press. February, 2020.

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Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting

Ralph Abboud‚ İsmail İlkan Ceylan and Thomas Lukasiewicz

In Vincent Conitzer and Fei Sha, editors, Proceedings of the 34th AAAI Conference on Artificial Intelligence‚ AAAI 2020‚ New York‚ New York‚ USA‚ February 7–12‚ 2020. AAAI Press. February, 2020.

Details about Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting | BibTeX data for Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting | Link to Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting

Lightweight Generative Adversarial Networks for Text−Guided Image Manipulation

Bowen Li‚ Xiaojuan Qi‚ Philip H. S. Torr and Thomas Lukasiewicz

In Proceedings of the 34th Annual Conference on Neural Information Processing Systems‚ NeurIPS 2020‚ December 6–12‚ 2020. December, 2020.

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BoxE: A Box Embedding Model for Knowledge Base Completion

Ralph Abboud‚ İsmail İlkan Ceylan‚ Thomas Lukasiewicz and Tommaso Salvatori

In Proceedings of the 34th Annual Conference on Neural Information Processing Systems‚ NeurIPS 2020‚ December 6–12‚ 2020. December, 2020.

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Coherent Hierarchical Multi−Label Classification Networks

Eleonora Giunchiglia and Thomas Lukasiewicz

In Proceedings of the 34th Annual Conference on Neural Information Processing Systems‚ NeurIPS 2020‚ December 6–12‚ 2020. December, 2020.

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Can the Brain Do Backpropagation? — Exact Implementation of Backpropagation in Predictive Coding Networks

Yuhang Song‚ Thomas Lukasiewicz‚ Zhenghua Xu and Rafal Bogacz

In Proceedings of the 34th Annual Conference on Neural Information Processing Systems‚ NeurIPS 2020‚ December 6–12‚ 2020. December, 2020.

Details about Can the Brain Do Backpropagation? — Exact Implementation of Backpropagation in Predictive Coding Networks | BibTeX data for Can the Brain Do Backpropagation? — Exact Implementation of Backpropagation in Predictive Coding Networks | Link to Can the Brain Do Backpropagation? — Exact Implementation of Backpropagation in Predictive Coding Networks

Knowledge Graph Extraction from Videos

Louis Mahon‚ Eleonora Giunchiglia‚ Bowen Li and Thomas Lukasiewicz

In Proceedings of the IEEE 2020 International Conference on Machine Learning and Applications‚ ICMLA 2020‚ Miami‚ Florida‚ December 14−17‚ 2020. Pages 25–32. IEEE. December, 2020.

Details about Knowledge Graph Extraction from Videos | BibTeX data for Knowledge Graph Extraction from Videos | Link to Knowledge Graph Extraction from Videos

Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution

Yordan Yordanov‚ Oana−Maria Camburu‚ Vid Kocijan and Thomas Lukasiewicz

In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing‚ EMNLP 2020‚ November 16–20‚ 2020. Pages 4963–4969. Association for Computational Linguistics. November, 2020.

Details about Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution | BibTeX data for Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution | Link to Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution

Systematic Comparison of Neural Architectures and Training Approaches for Open Information Extraction

Patrick Hohenecker‚ Frank Mtumbuka‚ Vid Kocijan and Thomas Lukasiewicz

In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing‚ EMNLP 2020‚ November 16–20‚ 2020. Pages 8554–8565. Association for Computational Linguistics. November, 2020.

Details about Systematic Comparison of Neural Architectures and Training Approaches for Open Information Extraction | BibTeX data for Systematic Comparison of Neural Architectures and Training Approaches for Open Information Extraction | Link to Systematic Comparison of Neural Architectures and Training Approaches for Open Information Extraction

Extracting Outcomes from Appellate Decisions in US State Courts

Alina Petrova‚ John Armour and Thomas Lukasiewicz

In Serena Villata, editor, Proceedings of the 33rd International Conference on Legal Knowledge and Information Systems‚ JURIX 2020‚ Online‚ December 9–11‚ 2020.. Vol. 334. Pages 133–142. IOS Press. 2020.

Details about Extracting Outcomes from Appellate Decisions in US State Courts | BibTeX data for Extracting Outcomes from Appellate Decisions in US State Courts | Link to Extracting Outcomes from Appellate Decisions in US State Courts

Explanations for Ontology−Mediated Query Answering in Description Logics (Extended Abstract)

İsmail İlkan Ceylan‚ Thomas Lukasiewicz‚ Enrico Malizia and Andrius Vaicenavicius

In Stefan Borgwardt and Thomas Meyer, editors, Proceedings of the 33rd International Workshop on Description Logics‚ DL 2020‚ co−located with the 17th International Conference on Principles of Knowledge Representation and Reasoning‚ KR 2020‚ Online Event [Rhodes‚ Greece]‚ September 12–14‚ 2020. Vol. 2663 of CEUR Workshop Proceedings. CEUR−WS.org. 2020.

Details about Explanations for Ontology−Mediated Query Answering in Description Logics (Extended Abstract) | BibTeX data for Explanations for Ontology−Mediated Query Answering in Description Logics (Extended Abstract) | Download (pdf) of Explanations for Ontology−Mediated Query Answering in Description Logics (Extended Abstract)

Explanations for Query Answers under Existential Rules

İsmail İlkan Ceylan‚ Thomas Lukasiewicz‚ Enrico Malizia and Andrius Vaicenavičius

In Sarit Kraus, editor, Proceedings of the 28th International Joint Conference on Artificial Intelligence‚ IJCAI 2019‚ Macao‚ China‚ August 10−16‚ 2019. Pages 1639–1646. IJCAI/AAAI Press. August, 2019.

Details about Explanations for Query Answers under Existential Rules | BibTeX data for Explanations for Query Answers under Existential Rules | Download  (pdf) of Explanations for Query Answers under Existential Rules | Link to Explanations for Query Answers under Existential Rules

Complexity Results for Preference Aggregation over (m)CP−nets: Pareto and Majority Voting

Thomas Lukasiewicz and Enrico Malizia

In Artificial Intelligence. Vol. 272. Pages 101–142. July, 2019.

Details about Complexity Results for Preference Aggregation over (m)CP−nets: Pareto and Majority Voting | BibTeX data for Complexity Results for Preference Aggregation over (m)CP−nets: Pareto and Majority Voting | Link to Complexity Results for Preference Aggregation over (m)CP−nets: Pareto and Majority Voting

A Surprisingly Robust Trick for the Winograd Schema Challenge

Vid Kocijan‚ Ana−Maria Cretu‚ Oana−Maria Camburu‚ Yordan Yordanov and Thomas Lukasiewicz

In Anna Korhonen and David Traum, editors, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics‚ ACL 2019‚ Florence‚ Italy‚ July 28 − August 2‚ 2019. Association for Computational Linguistics. July, 2019.

Details about A Surprisingly Robust Trick for the Winograd Schema Challenge | BibTeX data for A Surprisingly Robust Trick for the Winograd Schema Challenge | Link to A Surprisingly Robust Trick for the Winograd Schema Challenge

Ontology−Mediated Query Answering over Log−Linear Probabilistic Data (Abstract)

Stefan Borgwardt‚ İsmail İlkan Ceylan and Thomas Lukasiewicz

In Mantas Simkus and Grant E. Weddell, editors, Proceedings of the 32nd International Workshop on Description Logics‚ DL 2019‚ Oslo‚ Norway‚ June 18−21‚ 2019. Vol. 2373 of CEUR Workshop Proceedings. CEUR−WS.org. June, 2019.

Details about Ontology−Mediated Query Answering over Log−Linear Probabilistic Data (Abstract) | BibTeX data for Ontology−Mediated Query Answering over Log−Linear Probabilistic Data (Abstract) | Download (pdf) of Ontology−Mediated Query Answering over Log−Linear Probabilistic Data (Abstract)

An Ontology−Based Deep Learning Approach for Knowledge Graph Completion with Fresh Entities

Elvira Amador−Domı́nguez‚ Patrick Hohenecker‚ Thomas Lukasiewicz‚ Daniel Manrique and Emilio Serrano

In Francisco Herrera‚ Kenji Matsui and Sara Rodríguez Gonzalez, editors, Proceedings of the 16th International Conference on Distributed Computing and Artificial Intelligence (DCAI 2019)‚ Avila‚ Spain‚ June 26−28‚ 2019. Springer. June, 2019.

Details about An Ontology−Based Deep Learning Approach for Knowledge Graph Completion with Fresh Entities | BibTeX data for An Ontology−Based Deep Learning Approach for Knowledge Graph Completion with Fresh Entities | Link to An Ontology−Based Deep Learning Approach for Knowledge Graph Completion with Fresh Entities

Long Text Analysis Using Sliced Recurrent Neural Networks with Breaking Point Information Enrichment

Bo Li‚ Zehua Cheng‚ Zhenghua Xu‚ Wei Ye‚ Thomas Lukasiewicz and Shikun Zhang

In Proceedings of the 2019 IEEE International Conference on Acoustics‚ Speech and Signal Processing‚ ICASSP 2019‚ Brighton‚ UK‚ May 12−17‚ 2019. IEEE Computer Society. May, 2019.

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Controllable Text−to−Image Generation

Bowen Li‚ Xiaojuan Qi‚ Thomas Lukasiewicz and Philip H. S. Torr

In Proceedings of the 33rd Annual Conference on Neural Information Processing Systems‚ NeurIPS 2019‚ Vancouver‚ Canada‚ December 8–14‚ 2019. December, 2019.

Details about Controllable Text−to−Image Generation | BibTeX data for Controllable Text−to−Image Generation | Link to Controllable Text−to−Image Generation

WikiCREM: A Large Unsupervised Corpus for Co−Reference Resolution

Vid Kocijan‚ Oana−Maria Camburu‚ Ana−Maria Cretu‚ Yordan Yordanov‚ Phil Blunsom and Thomas Lukasiewicz

In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing‚ EMNLP−IJCNLP 2019‚ Hong Kong‚ China‚ November 3–7‚ 2019. November, 2019.

Details about WikiCREM: A Large Unsupervised Corpus for Co−Reference Resolution | BibTeX data for WikiCREM: A Large Unsupervised Corpus for Co−Reference Resolution | Link to WikiCREM: A Large Unsupervised Corpus for Co−Reference Resolution

Ontology−Mediated Query Answering over Log−Linear Probabilistic Data

Stefan Borgwardt‚ İsmail İlkan Ceylan and Thomas Lukasiewicz

In Pascal Van Hentenryck and Zhi−Hua Zhou, editors, Proceedings of the 33rd National Conference on Artificial Intelligence‚ AAAI 2019‚ Honolulu‚ Hawaii‚ USA‚ January 27 − February 1‚ 2019. Pages 2711–2718. AAAI Press. January, 2019.

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Diversity−Driven Extensible Hierarchical Reinforcement Learning

Yuhang Song‚ Jianyi Wang‚ Thomas Lukasiewicz‚ Zhenghua Xu and Mai Xu

In Pascal Van Hentenryck and Zhi−Hua Zhou, editors, Proceedings of the 33rd National Conference on Artificial Intelligence‚ AAAI 2019‚ Honolulu‚ Hawaii‚ USA‚ January 27 − February 1‚ 2019. Pages 4992–4999. AAAI Press. January, 2019.

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Complexity of Inconsistency−Tolerant Query Answering in Datalog+⁄− under Cardinality−Based Repairs

Thomas Lukasiewicz‚ Enrico Malizia and Andrius Vaicenavičius

In Pascal Van Hentenryck and Zhi−Hua Zhou, editors, Proceedings of the 33rd National Conference on Artificial Intelligence‚ AAAI 2019‚ Honolulu‚ Hawaii‚ USA‚ January 27 − February 1‚ 2019. Pages 2962–2969. AAAI Press. January, 2019.

Details about Complexity of Inconsistency−Tolerant Query Answering in Datalog+⁄− under Cardinality−Based Repairs | BibTeX data for Complexity of Inconsistency−Tolerant Query Answering in Datalog+⁄− under Cardinality−Based Repairs | Link to Complexity of Inconsistency−Tolerant Query Answering in Datalog+⁄− under Cardinality−Based Repairs

Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations

Oana−Maria Camburu‚ Brendan Shillingford‚ Pasquale Minervini‚ Thomas Lukasiewicz and Phil Blunsom

2019.

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Can I Trust the Explainer? Verifying Post−hoc Explanatory Methods

Oana−Maria Camburu‚ Eleonora Giunchiglia‚ Jakob Foerster‚ Thomas Lukasiewicz and Phil Blunsom

2019.

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A Tutorial on Query Answering and Reasoning over Probabilistic Knowledge Bases

İsmail İlkan Ceylan and Thomas Lukasiewicz

In Claudia d'Amato and Martin Theobald, editors, Reasoning Web. Learning‚ Uncertainty‚ Streaming‚ and Scalability — 14th International Summer School 2018‚ Esch−sur−Alzette‚ Luxembourg‚ September 22−26‚ 2018‚ Tutorial Lectures. Vol. 11078 of Lecture Notes in Computer Science. Pages 35–77. Springer. August, 2018.

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Proceedings of the 2nd Workshop on Logics for Reasoning about Preferences‚ Uncertainty‚ and Vagueness‚ co−located with the 9th International Joint Conference on Automated Reasoning‚ PRUV@IJCAR 2018‚ Oxford‚ UK‚ July 19‚ 2018

Thomas Lukasiewicz‚ Rafael Peñaloza and Anni−Yasmin Turhan

Vol. 2157 of CEUR Workshop Proceedings. CEUR−WS.org. July, 2018.

Details about Proceedings of the 2nd Workshop on Logics for Reasoning about Preferences‚ Uncertainty‚ and Vagueness‚ co−located with the 9th International Joint Conference on Automated Reasoning‚ PRUV@IJCAR 2018‚ Oxford‚ UK‚ July 19‚ 2018 | BibTeX data for Proceedings of the 2nd Workshop on Logics for Reasoning about Preferences‚ Uncertainty‚ and Vagueness‚ co−located with the 9th International Joint Conference on Automated Reasoning‚ PRUV@IJCAR 2018‚ Oxford‚ UK‚ July 19‚ 2018 | Link to Proceedings of the 2nd Workshop on Logics for Reasoning about Preferences‚ Uncertainty‚ and Vagueness‚ co−located with the 9th International Joint Conference on Automated Reasoning‚ PRUV@IJCAR 2018‚ Oxford‚ UK‚ July 19‚ 2018

Lightweight Tag−Aware Personalized Recommendation on the Social Web Using Ontological Similarity

Zhenghua Xu‚ Oana Tifrea−Marciuska‚ Thomas Lukasiewicz‚ Maria Vanina Martinez‚ Gerardo I. Simari and Cheng Chen

In IEEE Access. Vol. 6. No. 1. Pages 35590−35610. July, 2018.

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Recent Advances in Querying Probabilistic Knowledge Bases

Stefan Borgwardt‚ İsmail İlkan Ceylan and Thomas Lukasiewicz

In Jérôme Lang, editor, Proceedings of the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence‚ IJCAI−ECAI 2018‚ Stockholm‚ Sweden‚ July 13−19‚ 2018. Pages 5420−5426. IJCAI/AAAI Press. July, 2018.

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Complexity of Approximate Query Answering under Inconsistency in Datalog+⁄−

Thomas Lukasiewicz‚ Enrico Malizia and Cristian Molinaro

In Jérôme Lang, editor, Proceedings of the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence‚ IJCAI−ECAI 2018‚ Stockholm‚ Sweden‚ July 13−19‚ 2018. Pages 1921−1927. IJCAI/AAAI Press. July, 2018.

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Ontological Query Answering under Many−Valued Group Preferences in Datalog+⁄−

Bettina Fazzinga‚ Thomas Lukasiewicz‚ Maria Vanina Martinez‚ Gerardo I. Simari and Oana Tifrea−Marciuska

In International Journal of Approximate Reasoning. Vol. 93. Pages 354–371. February, 2018.

Details about Ontological Query Answering under Many−Valued Group Preferences in Datalog+⁄− | BibTeX data for Ontological Query Answering under Many−Valued Group Preferences in Datalog+⁄− | Link to Ontological Query Answering under Many−Valued Group Preferences in Datalog+⁄−

e−SNLI: Natural Language Inference with Natural Language Explanations

Oana−Maria Camburu‚ Tim Rocktäschel‚ Thomas Lukasiewicz and Phil Blunsom

In Samy Bengio‚ Hanna Wallach‚ Hugo Larochelle‚ Kristen Grauman‚ Nicolò Cesa−Bianchi and Roman Garnett, editors, Proceedings of the 32nd Annual Conference on Neural Information Processing Systems‚ NeurIPS 2018‚ Montreal‚ Canada‚ December 3−8‚ 2018. Pages 9560–9572. Curran Associates‚ Inc.. December, 2018.

Details about e−SNLI: Natural Language Inference with Natural Language Explanations | BibTeX data for e−SNLI: Natural Language Inference with Natural Language Explanations | Link to e−SNLI: Natural Language Inference with Natural Language Explanations

Learning Structured Video Descriptions: Automated Video Knowledge Extraction for Video Understanding Tasks

Daniel Vasile and Thomas Lukasiewicz

In Hervé Panetto‚ Christophe Debruyne‚ Henderik A. Proper‚ Claudio Agostino Ardagna‚ Dumitru Roman and Robert Meersman, editors, On the Move to Meaningful Internet Systems. OTM 2018 Conferences: Confederated International Conferences: CoopIS‚ C&TC‚ and ODBASE 2018‚ Valletta‚ Malta‚ October 23−24‚ 2018. Vol. 11230 of Lecture Notes in Computer Science. Pages 315−332. Springer. October, 2018.

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Complexity of Approximate Query Answering under Inconsistency in Datalog+⁄−

Thomas Lukasiewicz‚ Enrico Malizia and Cristian Molinaro

In Sonia Bergamaschi‚ Tommaso Di Noia and Andrea Maurino, editors, Proceedings of the 26th Italian Symposium on Advanced Database Systems‚ Castellaneta Marina (Taranto)‚ Italy‚ June 24−27‚ 2018. Vol. 2161 of CEUR Workshop Proceedings. CEUR−WS.org. 2018.

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Ontology Reasoning with Deep Neural Networks

Patrick Hohenecker and Thomas Lukasiewicz

2018.

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A Novel Characterization of the Complexity Class Θ^P_k Based on Counting and Comparison

Thomas Lukasiewicz and Enrico Malizia

In Theoretical Computer Science. Vol. 694. Pages 21–33. September, 2017.

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Tag−Aware Personalized Recommendation Using a Hybrid Deep Model

Zhenghua Xu‚ Thomas Lukasiewicz‚ Cheng Chen‚ Yishu Miao and Xiangwu Meng

In Carles Sierra, editor, Proceedings of the 26th International Joint Conference on Artificial Intelligence‚ IJCAI 2017‚ Melbourne‚ Australia‚ August 19−25‚ 2017. Pages 3196–3202. IJCAI/AAAI Press. August, 2017.

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Query Answering in Ontologies Under Preference Rankings

İsmail İlkan Ceylan‚ Thomas Lukasiewicz‚ Rafael Peñaloza and Oana Tifrea−Marciuska

In Carles Sierra, editor, Proceedings of the 26th International Joint Conference on Artificial Intelligence‚ IJCAI 2017‚ Melbourne‚ Australia‚ August 19−25‚ 2017. Pages 943–949. IJCAI/AAAI Press. August, 2017.

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Most Probable Explanations for Probabilistic Database Queries

İsmail İlkan Ceylan‚ Stefan Borgwardt and Thomas Lukasiewicz

In Carles Sierra, editor, Proceedings of the 26th International Joint Conference on Artificial Intelligence‚ IJCAI 2017‚ Melbourne‚ Australia‚ August 19−25‚ 2017. Pages 950–956. IJCAI/AAAI Press. August, 2017.

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Many Facets of Reasoning Under Uncertainty‚ Inconsistency‚ Vagueness‚ and Preferences: A Brief Survey

Gabriele Kern−Isberner and Thomas Lukasiewicz

In Künstliche Intelligenz. Vol. 31. No. 1. Pages 9–13. March, 2017.

Details about Many Facets of Reasoning Under Uncertainty‚ Inconsistency‚ Vagueness‚ and Preferences: A Brief Survey | BibTeX data for Many Facets of Reasoning Under Uncertainty‚ Inconsistency‚ Vagueness‚ and Preferences: A Brief Survey | Link to Many Facets of Reasoning Under Uncertainty‚ Inconsistency‚ Vagueness‚ and Preferences: A Brief Survey

Location−Aware Personalized News Recommendation with Deep Semantic Analysis

Cheng Chen‚ Xiangwu Meng‚ Zhenghua Xu and Thomas Lukasiewicz.

In IEEE Access. Vol. 5. Pages 1624–1638. January, 2017.

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Uncertainty Reasoning for the Semantic Web

Thomas Lukasiewicz

In Giovambattista Ianni‚ Domenico Lembo‚ Leopoldo E. Bertossi‚ Wolfgang Faber‚ Birte Glimm‚ Georg Gottlob and Steffen Staab, editors, Reasoning Web. Semantic Interoperability on the Web − 13th International Summer School 2017‚ London‚ UK‚ July 7−11‚ 2017‚ Tutorial Lectures. Vol. 10370 of Lecture Notes in Computer Science. Pages 276–291. Springer. 2017.

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Location−Aware News Recommendation Using Deep Localized Semantic Analysis

Cheng Chen‚ Thomas Lukasiewicz‚ Xiangwu Meng and Zhenghua Xu

In Selçuk Candan‚ Lei Chen and Torben Bach Pedersen, editors, Proceedings of the 22nd International Conference on Database Systems for Advanced Applications‚ DASFAA 2017‚ Suzhou‚ China‚ March 27−30‚ 2017. Vol. 10177 of Lecture Notes in Computer Science. Pages 507–524. Springer. 2017.

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Ontology−Mediated Queries for Probabilistic Databases

Stefan Borgwardt‚ İsmail İlkan Ceylan and Thomas Lukasiewicz

In Satinder Singh and Shaul Markovitch, editors, Proceedings of the 31st National Conference on Artificial Intelligence‚ AAAI 2017‚ San Francisco‚ California‚ USA‚ February 4–9‚ 2017. Pages 1063–1069. AAAI Press. 2017.

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Deep Learning for Ontology Reasoning

Patrick Hohenecker and Thomas Lukasiewicz

2017.

Details about Deep Learning for Ontology Reasoning | BibTeX data for Deep Learning for Ontology Reasoning | Link to Deep Learning for Ontology Reasoning

Hybrid Deep−Semantic Matrix Factorization for Tag−Aware Personalized Recommendation

Zhenghua Xu‚ Cheng Chen‚ Thomas Lukasiewicz and Yishu Miao

2017.

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Complexity Results for Probabilistic Datalog+⁄−

İsmail İlkan Ceylan‚ Thomas Lukasiewicz and Rafael Peñaloza

In Maria S. Fox and Gal A. Kaminka, editors, Proceedings of the 22nd European Conference on Artificial Intelligence‚ ECAI 2016‚ The Hague‚ The Netherlands‚ August 29 − September 2‚ 2016. Pages 1414−1422. IOS Press. August, 2016.

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Complexity of Threshold Query Answering in Probabilistic Ontological Data Exchange

Thomas Lukasiewicz and Livia Predoiu

In Maria S. Fox and Gal A. Kaminka, editors, Proceedings of the 22nd European Conference on Artificial Intelligence‚ ECAI 2016‚ The Hague‚ The Netherlands‚ August 29 − September 2‚ 2016. Pages 1008−1016. IOS Press. August, 2016.

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Preferential Query Answering over the Semantic Web with Possibilistic Networks

Stefan Borgwardt‚ Bettina Fazzinga‚ Thomas Lukasiewicz‚ Akanksha Shrivastava and Oana Tifrea−Marciuska

In Subbarao Kambhampati, editor, Proceedings of the 25th International Joint Conference on Artificial Intelligence‚ IJCAI 2016‚ New York‚ NY‚ USA‚ July 9−15‚ 2016. Pages 994−1000. IJCAI/AAAI Press. July, 2016.

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Probabilistic Models over Weighted Orderings: Fixed−Parameter Tractable Variable Elimination

Thomas Lukasiewicz‚ Maria Vanina Martinez‚ David Poole and Gerardo I. Simari

In James P. Delgrande and Frank Wolter, editors, Proceedings of the 15th International Conference on the Principles of Knowledge Representation and Reasoning‚ KR 2016‚ Cape Town‚ South Africa‚ April 25−29‚ 2016. Pages 494−504. AAAI Press. April, 2016.

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Generalized Consistent Query Answering under Existential Rules

Thomas Eiter‚ Thomas Lukasiewicz and Livia Predoiu

In James P. Delgrande and Frank Wolter, editors, Proceedings of the 15th International Conference on the Principles of Knowledge Representation and Reasoning‚ KR 2016‚ Cape Town‚ South Africa‚ April 25−29‚ 2016. Pages 359−368. AAAI Press. April, 2016.

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Basic Probabilistic Ontological Data Exchange with Existential Rules

Thomas Lukasiewicz‚ Maria Vanina Martinez‚ Livia Predoiu and Gerardo I. Simari

In Dale Schuurmans and Michael Wellman, editors, Proceedings of the 30th National Conference on Artificial Intelligence‚ AAAI 2016‚ Phoenix‚ Arizona‚ USA‚ February 12–17‚ 2016. Pages 1023−1029. AAAI Press. February, 2016.

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On the Complexity of mCP−Nets

Thomas Lukasiewicz and Enrico Malizia

In Dale Schuurmans and Michael Wellman, editors, Proceedings of the 30th National Conference on Artificial Intelligence‚ AAAI 2016‚ Phoenix‚ Arizona‚ USA‚ February 12–17‚ 2016. Pages 558−564. AAAI Press. February, 2016.

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Tag−Aware Personalized Recommendation Using a Deep−Semantic Similarity Model with Negative Sampling

Zhenghua Xu‚ Cheng Chen‚ Thomas Lukasiewicz‚ Yishu Miao and Xiangwu Meng

In Elisa Bertino‚ Fabio Crestani‚ Javed Mostafa‚ Jie Tang‚ Luo Si and Xiaofang Zhou, editors, Proceedings of the 25th ACM International Conference on Information and Knowledge Management‚ CIKM 2016‚ Indianapolis‚ USA‚ October 24−28‚ 2016. Pages 1921−1924. ACM Press. October, 2016.

Details about Tag−Aware Personalized Recommendation Using a Deep−Semantic Similarity Model with Negative Sampling | BibTeX data for Tag−Aware Personalized Recommendation Using a Deep−Semantic Similarity Model with Negative Sampling | Link to Tag−Aware Personalized Recommendation Using a Deep−Semantic Similarity Model with Negative Sampling

Ranking Answers to Datalog+⁄− Ontologies based on Trust and Reliability of Subjective Reports

Thomas Lukasiewicz‚ Maria Vanina Martinez‚ Cristian Molinaro‚ Livia Predoiu and Gerardo I. Simari

In Christoph Beierle‚ Gerhard Brewka and Matthias Thimm:, editors, Computational Models of Rationality: Essays Dedicated to Gabriele Kern−Isberner on the Occasion of Her 60th Birthday. Vol. 29 of Tributes. Pages 175−192. College Publications. January, 2016.

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Combining Existential Rules with the Power of CP−Theories

Tommaso Di Noia‚ Thomas Lukasiewicz‚ Maria Vanina Martinez‚ Gerardo I. Simari and Oana Tifrea−Marciuska

In Qiang Yang, editor, Proceedings of the 24th International Joint Conference on Artificial Intelligence‚ IJCAI 2015‚ Buenos Aires‚ Argentina‚ July 25−31‚ 2015. Pages 2918−2925. AAAI Press / International Joint Conferences on Artificial Intelligence. July, 2015.

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Preference−Based Query Answering in Probabilistic Datalog+⁄− Ontologies

Thomas Lukasiewicz‚ Maria Vanina Martinez‚ Gerardo I. Simari and Oana Tifrea−Marciuska

In Journal on Data Semantics. Vol. 4. No. 2. Pages 81−101. June, 2015.

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Preface

Thomas Lukasiewicz and Attila Sali

In Annals of Mathematics and Artificial Intelligence. Vol. 73. No. 1/2. Pages 1−3. January, 2015.

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From Classical to Consistent Query Answering under Existential Rules

Thomas Lukasiewicz‚ Maria Vanina Martinez‚ Andreas Pieris and Gerardo I. Simari

In Blai Bonet and Sven Koenig, editors, Proceedings of the 29th National Conference on Artificial Intelligence‚ AAAI 2015‚ Austin‚ Texas‚ USA‚ January 25−29‚ 2015. Pages 1546−1552. AAAI Press. January, 2015.

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Proceedings of the 11th International Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2015‚ Bethlehem‚ USA‚ October 12‚ 2015

Fernando Bobillo‚ Rommel N. Carvalho‚ Davide Ceolin‚ Paulo Cesar G. da Costa‚ Claudia d'Amato‚ Nicola Fanizzi‚ Kathryn B. Laskey‚ Kenneth J. Laskey‚ Thomas Lukasiewicz‚ Trevor P. Martin‚ Matthias Nickles and Michael Pool, editors

Vol. 1479 of CEUR Workshop Proceedings. CEUR−WS.org. 2015.

Details about Proceedings of the 11th International Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2015‚ Bethlehem‚ USA‚ October 12‚ 2015 | BibTeX data for Proceedings of the 11th International Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2015‚ Bethlehem‚ USA‚ October 12‚ 2015 | Link to Proceedings of the 11th International Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2015‚ Bethlehem‚ USA‚ October 12‚ 2015

Preference Queries with Ceteris Paribus Semantics for Linked Data

Jessica Rosati‚ Tommaso Di Noia‚ Thomas Lukasiewicz‚ Renato De Leone and Andrea Maurino

In Christophe Debruyne‚ Hervé Panetto‚ Robert Meersman‚ Tharam S. Dillon‚ Georg Weichhart‚ Yuan An and Claudio Agostino Ardagna, editors, Proceedings of the 14th International Conference on Ontologies‚ Databases‚ and Applications of Semantics‚ ODBASE 2015‚ Rhodes‚ Greece‚ October 26−30‚ 2015. Vol. 9415 of Lecture Notes in Computer Science. Pages 423–442. Springer. 2015.

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Probabilistic Ontological Data Exchange with Bayesian Networks

Thomas Lukasiewicz‚ Maria Vanina Martinez‚ Livia Predoiu and Gerardo I. Simari

In Fernando Bobillo‚ Rommel N. Carvalho‚ Davide Ceolin‚ Paulo Cesar G. da Costa‚ Claudia d'Amato‚ Nicola Fanizzi‚ Kathryn B. Laskey‚ Kenneth J. Laskey‚ Thomas Lukasiewicz‚ Trevor P. Martin‚ Matthias Nickles and Michael Pool, editors, Proceedings of the 11th International Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2015‚ Bethlehem‚ USA‚ October 12‚ 2015. Vol. 1479 of CEUR Workshop Proceedings. Pages 38−49. CEUR−WS.org. 2015.

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Existential Rules and Bayesian Networks for Probabilistic Ontological Data Exchange

Thomas Lukasiewicz‚ Maria Vanina Martinez‚ Livia Predoiu and Gerardo I. Simari

In Nick Bassiliades‚ Georg Gottlob and Fariba Sadri, editors, Proceedings of the 9th International Web Rule Symposium‚ RuleML 2015‚ Berlin‚ Germany‚ August 2−5‚ 2015.. Vol. 9202 of Lecture Notes in Computer Science. Pages 294−310. Springer. 2015.

RuleML 2015 Best Paper Award

Details about Existential Rules and Bayesian Networks for Probabilistic Ontological Data Exchange | BibTeX data for Existential Rules and Bayesian Networks for Probabilistic Ontological Data Exchange | Link to Existential Rules and Bayesian Networks for Probabilistic Ontological Data Exchange

Answering EL Queries in the Presence of Preferences

İsmail İlkan Ceylan‚ Thomas Lukasiewicz and Rafael Peñaloza

In Diego Calvanese and Boris Konev, editors, Proceedings of the 28th International Workshop on Description Logics‚ DL 2015‚ Athens‚ Greece‚ June 7−10‚ 2015. Vol. 1350 of CEUR Workshop Proceedings. Pages 380−383. CEUR−WS.org. 2015.

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From Classical to Consistent Query Answering under Existential Rules

Thomas Lukasiewicz‚ Maria Vanina Martinez‚ Andreas Pieris and Gerardo I. Simari

In Andrea Calì and Maria−Esther Vidal, editors, Proceedings of the 9th Alberto Mendelzon International Workshop on Foundations of Data Management‚ AMW 2015‚ Lima‚ Peru‚ May 6−8‚ 2015.. Vol. 1378 of CEUR Workshop Proceedings. Pages 40−45. CEUR−WS.org. 2015.

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Information Integration with Provenance on the Semantic Web via Probabilistic Datalog+/

Thomas Lukasiewicz‚ Maria Vanina Martinez‚ Livia Predoiu and Gerardo I. Simari

No. RR−15−01. DCS. 2015.

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Probabilistic Preference Logic Networks

Thomas Lukasiewicz‚ Maria Vanina Martinez and Gerardo I. Simari

In Torsten Schaub‚ Gerhard Friedrich and Barry O'Sullivan, editors, Proceedings of the 21st European Conference on Artificial Intelligence‚ ECAI 2014‚ Prague‚ Czech Republic‚ August 18−22‚ 2014. Vol. 263 of Frontiers in Artificial Intelligence and Applications. Pages 561−566. IOS Press. August, 2014.

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Stable Model Semantics for Guarded Existential Rules and Description Logics

Georg Gottlob‚ André Hernich‚ Clemens Kupke and Thomas Lukasiewicz

In Chitta Baral and Giuseppe De Giacomo, editors, Proceedings of the 14th International Conference on the Principles of Knowledge Representation and Reasoning‚ KR 2014‚ Vienna‚ Austria‚ July 20−24‚ 2014. Pages 258−267. AAAI Press. July, 2014.

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Ontology−Based Query Answering with Group Preferences

Thomas Lukasiewicz‚ Maria Vanina Martinez‚ Gerardo I. Simari and Oana Tifrea−Marciuska

No. RR−14−02. DCS. May, 2014.

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Ontology−Based Query Answering with Group Preferences

Thomas Lukasiewicz‚ Maria Vanina Martinez‚ Gerardo I. Simari and Oana Tifrea−Marciuska

In ACM Transactions on Internet Technology (TOIT). Vol. 14. No. 4. Pages 25:1−25:24. December, 2014.

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Proceedings of the 10th International Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2014‚ Riva del Garda‚ Italy‚ October 19−20‚ 2014

Fernando Bobillo‚ Rommel N. Carvalho‚ Davide Ceolin‚ Paulo Cesar G. da Costa‚ Claudia d'Amato‚ Nicola Fanizzi‚ Kathryn B. Laskey‚ Kenneth J. Laskey‚ Thomas Lukasiewicz‚ Trevor Martin‚ Matthias Nickles‚ Michael Pool‚ Tom De Nies‚ Olaf Hartig‚ Paul Groth and Stephen Marsh, editors

Vol. 1259 of CEUR Workshop Proceedings. CEUR−WS.org. 2014.

Details about Proceedings of the 10th International Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2014‚ Riva del Garda‚ Italy‚ October 19−20‚ 2014 | BibTeX data for Proceedings of the 10th International Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2014‚ Riva del Garda‚ Italy‚ October 19−20‚ 2014 | Link to Proceedings of the 10th International Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2014‚ Riva del Garda‚ Italy‚ October 19−20‚ 2014

Proceedings of the 1st Workshop on Logics for Reasoning about Preferences‚ Uncertainty‚ and Vagueness‚ PRUV 2014‚ Vienna‚ Austria‚ July 23−24‚ 2014

Thomas Lukasiewicz‚ Rafael Peñaloza and Anni−Yasmin Turhan, editors

Vol. 1205 of CEUR Workshop Proceedings. CEUR−WS.org. 2014.

Details about Proceedings of the 1st Workshop on Logics for Reasoning about Preferences‚ Uncertainty‚ and Vagueness‚ PRUV 2014‚ Vienna‚ Austria‚ July 23−24‚ 2014 | BibTeX data for Proceedings of the 1st Workshop on Logics for Reasoning about Preferences‚ Uncertainty‚ and Vagueness‚ PRUV 2014‚ Vienna‚ Austria‚ July 23−24‚ 2014 | Link to Proceedings of the 1st Workshop on Logics for Reasoning about Preferences‚ Uncertainty‚ and Vagueness‚ PRUV 2014‚ Vienna‚ Austria‚ July 23−24‚ 2014

Uncertainty Reasoning for the Semantic Web III‚ International Workshops URSW 2011−2013‚ Held at ISWC‚ Revised Selected Papers

Fernando Bobillo‚ Rommel Carvalho‚ Paulo C. G. Costa‚ Claudia d'Amato‚ Nicola Fanizzi‚ Kathryn B. Laskey‚ Kenneth J. Laskey‚ Thomas Lukasiewicz‚ Matthias Nickles and Michael Pool, editors

Vol. 8816 of Lecture Notes in Computer Science. Springer. 2014.

Details about Uncertainty Reasoning for the Semantic Web III‚ International Workshops URSW 2011−2013‚ Held at ISWC‚ Revised Selected Papers | BibTeX data for Uncertainty Reasoning for the Semantic Web III‚ International Workshops URSW 2011−2013‚ Held at ISWC‚ Revised Selected Papers | Link to Uncertainty Reasoning for the Semantic Web III‚ International Workshops URSW 2011−2013‚ Held at ISWC‚ Revised Selected Papers

Information Integration with Provenance on the Semantic Web via Probabilistic Datalog+⁄−

Thomas Lukasiewicz‚ Maria Vanina Martinez‚ Livia Predoiu and Gerardo Simari

In Fernando Bobillo‚ Rommel Carvalho‚ Paulo C. G. Costa‚ Claudia d'Amato‚ Nicola Fanizzi‚ Kathryn B. Laskey‚ Kenneth J. Laskey‚ Thomas Lukasiewicz‚ Matthias Nickles and Michael Pool, editors, Uncertainty Reasoning for the Semantic Web III‚ International Workshops URSW 2011−2013‚ Held at ISWC‚ Revised Selected Papers. Vol. 8816 of Lecture Notes in Computer Science. Pages 41−62. Springer. 2014.

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Ontological CP−Nets

Tommaso Di Noia‚ Thomas Lukasiewicz‚ Maria Vanina Martinez‚ Gerardo I. Simari and Oana Tifrea−Marciuska

In Fernando Bobillo‚ Rommel Carvalho‚ Paulo C. G. Costa‚ Claudia d'Amato‚ Nicola Fanizzi‚ Kathryn B. Laskey‚ Kenneth J. Laskey‚ Thomas Lukasiewicz‚ Matthias Nickles and Michael Pool, editors, Uncertainty Reasoning for the Semantic Web III‚ International Workshops URSW 2011−2013‚ Held at ISWC‚ Revised Selected Papers. Vol. 8816 of Lecture Notes in Computer Science. Pages 289−308. Springer. 2014.

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Computing k−Rank Answers with Ontological CP−Nets

Tommaso Di Noia‚ Thomas Lukasiewicz‚ Maria Vanina Martinez‚ Gerardo I. Simari and Oana Tifrea−Marciuska

In Sergio Greco and Antonio Picariello, editors, Proceedings of the 22nd Italian Symposium on Advanced Database Systems‚ SEBD 2014‚ Sorrento Coast‚ Italy‚ June 16−18‚ 2014. 2014.

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Computing k−Rank Answers with Ontological CP−Nets

Tommaso Di Noia‚ Thomas Lukasiewicz‚ Maria Vanina Martinez‚ Gerardo I. Simari and Oana Tifrea−Marciuska

In Thomas Lukasiewicz‚ Rafael Peñaloza and Anni−Yasmin Turhan, editors, Proceedings of the 1st Workshop on Logics for Reasoning about Preferences‚ Uncertainty‚ and Vagueness‚ PRUV 2014‚ Vienna‚ Austria‚ July 23−24‚ 2014. Vol. 1205 of CEUR Workshop Proceedings. Pages 74−87. CEUR−WS.org. 2014.

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Answering Ontological Ranking Queries Based on Subjective Reports

Thomas Lukasiewicz‚ Maria Vanina Martinez‚ Cristian Molinaro‚ Livia Predoiu and Gerardo Simari

In Thomas Lukasiewicz‚ Rafael Peñaloza and Anni−Yasmin Turhan, editors, Proceedings of the 1st Workshop on Logics for Reasoning about Preferences‚ Uncertainty‚ and Vagueness‚ PRUV 2014‚ Vienna‚ Austria‚ July 23−24‚ 2014. Vol. 1205 of CEUR Workshop Proceedings. Pages 127−140. CEUR−WS.org. 2014.

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Datalog+⁄−: Questions and Answers

Georg Gottlob‚ Thomas Lukasiewicz and Andreas Pieris

In Chitta Baral and Giuseppe De Giacomo, editors, Proceedings of the 14th International Conference on the Principles of Knowledge Representation and Reasoning‚ KR 2014‚ Vienna‚ Austria‚ July 20−24‚ 2014. Pages 682−685. AAAI Press. 2014.

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Improving Personalized Search on the Social Web Based on Similarities Between Users

Zhenghua Xu‚ Thomas Lukasiewicz and Oana Tifrea−Marciuska

In Umberto Straccia and Andrea Calì, editors, Proceedings of the 8th International Conference on Scalable Uncertainty Management‚ SUM 2014‚ Oxford‚ UK‚ September 15−17‚ 2014. Vol. 8720 of Lecture Notes in Computer Science. Pages 306−319. Springer. 2014.

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Answering Ontological Ranking Queries based on Subjective Reports

Thomas Lukasiewicz‚ Maria Vanina Martinez‚ Cristian Molinaro‚ Livia Predoiu and Gerardo I. Simari

In Umberto Straccia and Andrea Calì, editors, Proceedings of the 8th International Conference on Scalable Uncertainty Management‚ SUM 2014‚ Oxford‚ UK‚ September 15−17‚ 2014. Vol. 8720 of Lecture Notes in Computer Science. Pages 223−236. Springer. 2014.

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A General Framework for Inconsistency−Tolerant Query Answering in Datalog+⁄−

Thomas Lukasiewicz‚ Maria Vanina Martinez and Gerardo I. Simari

No. RR−14−04. DCS. 2014.

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Computing k−Rank Answers with Ontological CP−Nets

Tommaso Di Noia‚ Thomas Lukasiewicz‚ Maria Vanina Martinez‚ Gerardo I. Simari and Oana Tifrea−Marciuska

No. RR−14−03. DCS. 2014.

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Query Answering under Probabilistic Uncertainty in Datalog+⁄− Ontologies

Georg Gottlob‚ Thomas Lukasiewicz‚ Maria Vanina Martinez and Gerardo I. Simari

In Annals of Mathematics and Artificial Intelligence. Vol. 69. No. 1. Pages 37−72. September, 2013.

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Proceedings of the 9th International Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2013‚ Sydney‚ Australia‚ October 21‚ 2013

Fernando Bobillo‚ Rommel N. Carvalho‚ Paulo Cesar G. da Costa‚ Claudia d'Amato‚ Nicola Fanizzi‚ Kathryn B. Laskey‚ Kenneth J. Laskey‚ Thomas Lukasiewicz‚ Trevor Martin‚ Matthias Nickles and Michael Pool, editors

Vol. 1073 of CEUR Workshop Proceedings. CEUR−WS.org. 2013.

Details about Proceedings of the 9th International Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2013‚ Sydney‚ Australia‚ October 21‚ 2013 | BibTeX data for Proceedings of the 9th International Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2013‚ Sydney‚ Australia‚ October 21‚ 2013 | Link to Proceedings of the 9th International Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2013‚ Sydney‚ Australia‚ October 21‚ 2013

Uncertainty Reasoning for the Semantic Web II‚ International Workshops URSW 2008−2010‚ Held at ISWC‚ and UniDL 2010‚ Held at FLoC‚ Revised Selected Papers

Fernando Bobillo‚ Paulo Cesar G. da Costa‚ Claudia d'Amato‚ Nicola Fanizzi‚ Kathryn B. Laskey‚ Kenneth J. Laskey‚ Thomas Lukasiewicz‚ Matthias Nickles and Michael Pool, editors

Vol. 7123 of Lecture Notes in Computer Science. Springer. 2013.

Details about Uncertainty Reasoning for the Semantic Web II‚ International Workshops URSW 2008−2010‚ Held at ISWC‚ and UniDL 2010‚ Held at FLoC‚ Revised Selected Papers | BibTeX data for Uncertainty Reasoning for the Semantic Web II‚ International Workshops URSW 2008−2010‚ Held at ISWC‚ and UniDL 2010‚ Held at FLoC‚ Revised Selected Papers | Link to Uncertainty Reasoning for the Semantic Web II‚ International Workshops URSW 2008−2010‚ Held at ISWC‚ and UniDL 2010‚ Held at FLoC‚ Revised Selected Papers

Tractable Probabilistic Description Logic Programs

Thomas Lukasiewicz and Gerardo I. Simari

In Z. Ma and L. Yan, editors, Advances in Probabilistic Databases for Uncertain Information Management. Vol. 304 of Studies in Fuzziness and Soft Computing. Pages 131−159. Springer. 2013.

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Representing Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations

Claudia d'Amato‚ Nicola Fanizzi‚ Floriana Esposito and Thomas Lukasiewicz

In Fernando Bobillo‚ Paulo Cesar G. da Costa‚ Claudia d'Amato‚ Nicola Fanizzi‚ Kathryn B. Laskey‚ Kenneth J. Laskey‚ Thomas Lukasiewicz‚ Matthias Nickles and Michael Pool, editors, Uncertainty Reasoning for the Semantic Web II‚ International Workshops URSW 2008−2010‚ Held at ISWC‚ and UniDL 2010‚ Held at FLoC‚ Revised Selected Papers. Vol. 7123 of Lecture Notes in Computer Science. Pages 300−314. Springer. 2013.

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Semantic Web Search and Inductive Reasoning

Claudia d'Amato‚ Nicola Fanizzi‚ Bettina Fazzinga‚ Georg Gottlob and Thomas Lukasiewicz

In Fernando Bobillo‚ Paulo Cesar G. da Costa‚ Claudia d'Amato‚ Nicola Fanizzi‚ Kathryn B. Laskey‚ Kenneth J. Laskey‚ Thomas Lukasiewicz‚ Matthias Nickles and Michael Pool, editors, Uncertainty Reasoning for the Semantic Web II‚ International Workshops URSW 2008−2010‚ Held at ISWC‚ and UniDL 2010‚ Held at FLoC‚ Revised Selected Papers. Vol. 7123 of Lecture Notes in Computer Science. Pages 237−261. Springer. 2013.

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Preface

Diego Calvanese and Thomas Lukasiewicz

In Semantic Web. Vol. 4. No. 4. Pages 349. 2013.

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Information Integration with Provenance on the Semantic Web via Probabilistic Datalog+⁄−

Thomas Lukasiewicz and Livia Predoiu

In Fernando Bobillo‚ Rommel N. Carvalho‚ Paulo Cesar G. da Costa‚ Claudia d'Amato‚ Nicola Fanizzi‚ Kathryn B. Laskey‚ Kenneth J. Laskey‚ Thomas Lukasiewicz‚ Trevor Martin‚ Matthias Nickles and Michael Pool, editors, Proceedings of the 9th International Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2013‚ Sydney‚ Australia‚ October 21‚ 2013. Vol. 1073 of CEUR Workshop Proceedings. Pages 3−14. CEUR−WS.org. 2013.

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Combining CP−Nets with the Power of Ontologies

Tommaso Di Noia and Thomas Lukasiewicz

In Marie desJardins and Michael L. Littman, editors, Proceedings of the 27th AAAI Conference on Artificial Intelligence‚ AAAI 2013‚ Late Breaking Papers‚ Bellevue‚ Washington‚ USA‚ July 14−18‚ 2013. Vol. WS−13−17 of AAAI Workshops. AAAI Press. 2013.

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On Ontologies and CP−Nets

Tommaso Di Noia and Thomas Lukasiewicz

In Proceedings of the 21st Italian Symposium on Advanced Database Systems‚ SEBD 2013‚ Roccella Jonica‚ Italy‚ June 30 − July 3‚ 2013. 2013.

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Well−Founded Semantics for Extended Datalog and Ontological Reasoning

André Hernich‚ Clemens Kupke‚ Thomas Lukasiewicz and Georg Gottlob

In Thomas Eiter‚ Birte Glimm‚ Yevgeny Kazakov and Markus Krötzsch, editors, Proceedings of the 26th International Workshop on Description Logics‚ DL 2013‚ Ulm‚ Germany‚ July 23−26‚ 2013. Vol. 1014 of CEUR Workshop Proceedings. Pages 209−220. CEUR−WS.org. 2013.

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Reasoning with DL−Based CP−Nets

Tommaso Di Noia‚ Thomas Lukasiewicz and Gerardo I. Simari

In Thomas Eiter‚ Birte Glimm‚ Yevgeny Kazakov and Markus Krötzsch, editors, Proceedings of the 26th International Workshop on Description Logics‚ DL 2013‚ Ulm‚ Germany‚ July 23−26‚ 2013. Vol. 1014 of CEUR Workshop Proceedings. Pages 640−651. CEUR−WS.org. 2013.

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Complexity of Inconsistency−Tolerant Query Answering in Datalog+⁄−

Thomas Lukasiewicz‚ Maria Vanina Martinez and Gerardo I. Simari

In Thomas Eiter‚ Birte Glimm‚ Yevgeny Kazakov and Markus Krötzsch, editors, Proceedings of the 26th International Workshop on Description Logics‚ DL 2013‚ Ulm‚ Germany‚ July 23−26‚ 2013. Vol. 1014 of CEUR Workshop Proceedings. Pages 791−803. CEUR−WS.org. 2013.

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Preference−Based Query Answering in Datalog+⁄− Ontologies

Thomas Lukasiewicz‚ Maria Vanina Martinez and Gerardo I. Simari

In Thomas Eiter‚ Birte Glimm‚ Yevgeny Kazakov and Markus Krötzsch, editors, Proceedings of the 26th International Workshop on Description Logics‚ DL 2013‚ Ulm‚ Germany‚ July 23−26‚ 2013. Vol. 1014 of CEUR Workshop Proceedings. Pages 804−815. CEUR−WS.org. 2013.

Details about Preference−Based Query Answering in Datalog+⁄− Ontologies | BibTeX data for Preference−Based Query Answering in Datalog+⁄− Ontologies | Download (pdf) of Preference−Based Query Answering in Datalog+⁄− Ontologies

Preference−Based Query Answering in Probabilistic Datalog+⁄− Ontologies

Thomas Lukasiewicz‚ Maria Vanina Martinez and Gerardo I. Simari

In Robert Meersman‚ Hervé Panetto‚ Tharam Dillon‚ Johann Eder‚ Zohra Bellahsene‚ Norbert Ritter‚ Pieter De Leenheer and Deijing Dou, editors, Proceedings of the 12th International Conference on Ontologies‚ Databases‚ and Applications of Semantics‚ ODBASE 2013‚ Graz‚ Austria‚ September 10−11‚ 2013. Vol. 8185 of Lecture Notes in Computer Science. Pages 501−518. Springer. 2013.

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Complexity of Inconsistency−Tolerant Query Answering in Datalog+⁄−

Thomas Lukasiewicz‚ Maria Vanina Martinez and Gerardo I. Simari

In Robert Meersman‚ Hervé Panetto‚ Tharam Dillon‚ Johann Eder‚ Zohra Bellahsene‚ Norbert Ritter‚ Pieter De Leenheer and Deijing Dou, editors, Proceedings of the 12th International Conference on Ontologies‚ Databases‚ and Applications of Semantics‚ ODBASE 2013‚ Graz‚ Austria‚ September 10−11‚ 2013. Vol. 8185 of Lecture Notes in Computer Science. Pages 488−500. Springer. 2013.

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Query Answering in Probabilistic Datalog+⁄− Ontologies under Group Preferences

Thomas Lukasiewicz‚ Maria Vanina Martinez‚ Gerardo I. Simari and Oana Tifrea−Marciuska

In Vijay Raghavan‚ Xiaolin Hu‚ Churn−Jung and Liau Jan Treur, editors, Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence‚ WI 2013‚ Atlanta‚ GA‚ USA‚ November 17−20‚ 2013. Pages 171−178. IEEE Computer Society. 2013.

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Query Answering in Datalog+⁄− Ontologies under Group Preferences and Probabilistic Uncertainty

Thomas Lukasiewicz‚ Maria Vanina Martinez‚ Gerardo I. Simari and Oana Tifrea−Marciuska

In Quan Z. Sheng and Jesper Kjeldskov, editors, Proceedings of the 2nd International Workshop on Data Management in the Social Semantic Web‚ DMSSW 2013‚ Aalborg‚ Denmark‚ July 8‚ 2013. Vol. 8295 of Lecture Notes in Computer Science. Pages 192−206. Springer. 2013.

Details about Query Answering in Datalog+⁄− Ontologies under Group Preferences and Probabilistic Uncertainty | BibTeX data for Query Answering in Datalog+⁄− Ontologies under Group Preferences and Probabilistic Uncertainty | Link to Query Answering in Datalog+⁄− Ontologies under Group Preferences and Probabilistic Uncertainty

Reasoning with Semantic−Enabled Qualitative Preferences

Tommaso Di Noia‚ Thomas Lukasiewicz and Gerardo I. Simari

In V. S. Subrahmanian W. Liu and J. Wijsen, editors, Proceedings of the 7th International Conference on Scalable Uncertainty Management‚ SUM 2013‚ Washington DC‚ USA‚ September 16−18‚ 2013. Vol. 8078 of Lecture Notes in Computer Science. Pages 374−386. Springer. 2013.

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Group Preferences for Query Answering in Datalog+⁄− Ontologies

Thomas Lukasiewicz‚ Maria Vanina Martinez‚ Gerardo I. Simari and Oana Tifrea−Marciuska

In V. S. Subrahmanian W. Liu and J. Wijsen, editors, Proceedings of the 7th International Conference on Scalable Uncertainty Management‚ SUM 2013‚ Washington DC‚ USA‚ September 16−18‚ 2013. Vol. 8078 of Lecture Notes in Computer Science. Pages 360−373. Springer. 2013.

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Preference−Based Query Answering in Datalog+⁄− Ontologies

Thomas Lukasiewicz‚ Maria Vanina Martinez and Gerardo I. Simari

In Francesca Rossi, editor, Proceedings of the 23rd International Joint Conference on Artificial Intelligence‚ IJCAI 2013‚ Beijing‚ China‚ August 3−9‚ 2013. Pages 1017−1023. AAAI Press / International Joint Conferences on Artificial Intelligence. 2013.

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Well−Founded Semantics for Extended Datalog and Ontological Reasoning

André Hernich‚ Clemens Kupke‚ Thomas Lukasiewicz and Georg Gottlob

In Richard Hull and Wenfei Fan, editors, Proceedings of the 32nd ACM Symposium on Principles of Database Systems‚ PODS 2013‚ New York‚ New York‚ USA‚ June 22−27‚ 2013. Pages 225−236. ACM Press. 2013.

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Top−k Query Answering in Datalog+/ Ontologies under Subjective Reports

Thomas Lukasiewicz‚ Maria Vanina Martinez‚ Cristian Molinaro‚ Livia Predoiu and Gerardo I. Simari

2013.

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Ontology−Based Semantic Search on the Web and its Combination with the Power of Inductive Reasoning

Claudia d'Amato‚ Nicola Fanizzi‚ Bettina Fazzinga‚ Georg Gottlob and Thomas Lukasiewicz

In Annals of Mathematics and Artificial Intelligence. Vol. 65. No. 2/3. Pages 83−121. July, 2012.

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A General Datalog−Based Framework for Tractable Query Answering over Ontologies

Andrea Calì‚ Georg Gottlob and Thomas Lukasiewicz

In Journal of Web Semantics. Vol. 14. Pages 57–83. July, 2012.

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A General Datalog−Based Framework for Tractable Query Answering over Ontologies

Andrea Calì‚ Georg Gottlob and Thomas Lukasiewicz

No. RR−10−21. OUCL. March, 2012.

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Proceedings of the International Workshop on Semantic Technologies meet Recommender Systems & Big Data‚ SeRSy 2012‚ Boston‚ USA‚ November 11‚ 2012

Marco de Gemmis‚ Tommaso Di Noia‚ Pasquale Lops‚ Thomas Lukasiewicz and Giovanni Semeraro, editors

Vol. 919 of CEUR Workshop Proceedings. CEUR−WS.org. 2012.

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Proceedings of the 8th International Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2012‚ Boston‚ USA‚ November 11‚ 2012

Fernando Bobillo‚ Rommel N. Carvalho‚ Paulo Cesar G. da Costa‚ Claudia d'Amato‚ Nicola Fanizzi‚ Kathryn B. Laskey‚ Kenneth J. Laskey‚ Thomas Lukasiewicz‚ Trevor Martin‚ Matthias Nickles and Michael Pool, editors

Vol. 900 of CEUR Workshop Proceedings. CEUR−WS.org. 2012.

Details about Proceedings of the 8th International Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2012‚ Boston‚ USA‚ November 11‚ 2012 | BibTeX data for Proceedings of the 8th International Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2012‚ Boston‚ USA‚ November 11‚ 2012 | Link to Proceedings of the 8th International Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2012‚ Boston‚ USA‚ November 11‚ 2012

Proceedings of the 7th International Symposium on the Foundations of Information and Knowledge Systems‚ FoIKS 2012‚ Kiel‚ Germany‚ March 5−9‚ 2012

Thomas Lukasiewicz and Attila Sali, editors

Vol. 7153 of Lecture Notes in Computer Science. Springer. 2012.

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Preface

Sergio Greco and Thomas Lukasiewicz

In Annals of Mathematics and Artificial Intelligence. Vol. 64. No. 2−3. Pages 109−111. 2012.

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Heuristic Ranking in Tightly Coupled Probabilistic Description Logics

Thomas Lukasiewicz‚ Maria Vanina Martinez‚ Giorgio Orsi and Gerardo I. Simari

In Nando de Freitas and Kevin P. Murphy, editors, Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence‚ UAI 2012‚ Catalina Island‚ CA‚ USA‚ August 14−18‚ 2012. Pages 554−563. AUAI Press. 2012.

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Introducing Ontological CP−Nets

Tommaso Di Noia and Thomas Lukasiewicz

In Fernando Bobillo‚ Rommel N. Carvalho‚ Paulo Cesar G. da Costa‚ Claudia d'Amato‚ Nicola Fanizzi‚ Kathryn B. Laskey‚ Kenneth J. Laskey‚ Thomas Lukasiewicz‚ Trevor Martin‚ Matthias Nickles and Michael Pool, editors, Proceedings of the 8th International Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2012‚ Boston‚ USA‚ November 11‚ 2012. Vol. 900 of CEUR Workshop Proceedings. Pages 90−93. CEUR−WS.org. 2012.

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Consistent Answers in Probabilistic Datalog+⁄− Ontologies

Thomas Lukasiewicz‚ Maria Vanina Martinez and Gerardo I. Simari

In Markus Krötzsch and Umberto Straccia, editors, Proceedings of the 6th International Conference on Web Reasoning and Rule Systems‚ RR 2012‚ Vienna‚ Austria‚ September 10−12‚ 2012. Vol. 7497 of Lecture Notes in Computer Science. Pages 156−171. Springer. 2012.

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Inconsistency Handling in Datalog+⁄− Ontologies

Thomas Lukasiewicz‚ Maria Vanina Martinez and Gerardo I. Simari

In Luc De Raedt‚ Christian Bessière‚ Didier Dubois‚ Patrick Doherty‚ Paolo Frasconi‚ Fredrik Heintz and Peter J. F. Lucas, editors, Proceedings of the 20th European Conference on Artificial Intelligence‚ ECAI 2012‚ Montpellier‚ France‚ August 27−31‚ 2012. Vol. 242 of Frontiers in Artificial Intelligence and Applications. Pages 558−563. IOS Press. 2012.

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Equality−Friendly Well−Founded Semantics and Applications to Description Logics

Georg Gottlob‚ André Hernich‚ Clemens Kupke and Thomas Lukasiewicz

In Yevgeny Kazakov‚ Domenico Lembo and Frank Wolter, editors, Proceedings of the 25th International Workshop on Description Logics‚ DL 2012‚ Rome‚ Italy‚ June 7−10‚ 2012. Vol. 846 of CEUR Workshop Proceedings. CEUR−WS.org. 2012.

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Inconsistency−Tolerant Query Rewriting for Linear Datalog+⁄−

Thomas Lukasiewicz‚ Maria Vanina Martinez and Gerardo I. Simari

In Pablo Barceló and Reinhard Pichler, editors, Proceedings of the 2nd International Workshop on Datalog in Academia and Industry‚ Datalog 2.0‚ Vienna‚ Austria‚ September 11−13‚ 2012. Vol. 7494 of Lecture Notes in Computer Science. Pages 123−134. Springer. 2012.

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Equality−Friendly Well−Founded Semantics and Applications to Description Logics

Georg Gottlob‚ André Hernich‚ Clemens Kupke and Thomas Lukasiewicz

In J. Hoffmann and B. Selman, editors, Proceedings of the 26th National Conference on Artificial Intelligence‚ AAAI 2012‚ Toronto‚ Ontario‚ Canada‚ July 2012. AAAI Press. 2012.

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Semantic Web Search Based on Ontological Conjunctive Queries

Bettina Fazzinga‚ Giorgio Gianforme‚ Georg Gottlob and Thomas Lukasiewicz

In Journal of Web Semantics. Vol. 9. Pages 453−473. December, 2011.

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Tightly Integrated Probabilistic Description Logic Programs for Representing Ontology Mappings

Thomas Lukasiewicz‚ Livia Predoiu and Heiner Stuckenschmidt

In Annals of Mathematics and Artificial Intelligence. Vol. 63. No. 3/4. Pages 385−425. December, 2011.

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Semantic Web Search Based on Ontological Conjunctive Queries

Bettina Fazzinga‚ Giorgio Gianforme‚ Georg Gottlob and Thomas Lukasiewicz

No. RR−11−08. DCS. October, 2011.

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Well−founded Semantics for Description Logic Programs in the Semantic Web

Thomas Eiter‚ Giovambattista Ianni‚ Thomas Lukasiewicz and Roman Schindlauer

In ACM Transactions on Computational Logic (TOCL). Vol. 12. No. 2. Pages 11:1–11:41. January, 2011.

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Proceedings of the 2nd Workshop on Semantic Personalized Information Management: Retrieval and Recommendation‚ SPIM 2011‚ Bonn‚ Germany‚ October 24‚ 2011

Marco de Gemmis‚ Ernesto William De Luca‚ Tommaso Di Noia‚ Aldo Gangemi‚ Michael Hausenblas‚ Pasquale Lops‚ Thomas Lukasiewicz‚ Till Plumbaum and Giovanni Semeraro, editors

Vol. 781 of CEUR Workshop Proceedings. CEUR−WS.org. 2011.

Details about Proceedings of the 2nd Workshop on Semantic Personalized Information Management: Retrieval and Recommendation‚ SPIM 2011‚ Bonn‚ Germany‚ October 24‚ 2011 | BibTeX data for Proceedings of the 2nd Workshop on Semantic Personalized Information Management: Retrieval and Recommendation‚ SPIM 2011‚ Bonn‚ Germany‚ October 24‚ 2011 | Link to Proceedings of the 2nd Workshop on Semantic Personalized Information Management: Retrieval and Recommendation‚ SPIM 2011‚ Bonn‚ Germany‚ October 24‚ 2011

Proceedings of the 7th International Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2011‚ Bonn‚ Germany‚ October 23‚ 2011

Fernando Bobillo‚ Rommel N. Carvalho‚ Paulo Cesar G. da Costa‚ Claudia d'Amato‚ Nicola Fanizzi‚ Kathryn B. Laskey‚ Thomas Lukasiewicz‚ Trevor Martin and Matthias Nickles, editors

Vol. 778 of CEUR Workshop Proceedings. CEUR−WS.org. 2011.

Details about Proceedings of the 7th International Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2011‚ Bonn‚ Germany‚ October 23‚ 2011 | BibTeX data for Proceedings of the 7th International Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2011‚ Bonn‚ Germany‚ October 23‚ 2011 | Link to Proceedings of the 7th International Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2011‚ Bonn‚ Germany‚ October 23‚ 2011

A Logical Toolbox for Ontological Reasoning

Andrea Calì‚ Georg Gottlob‚ Thomas Lukasiewicz and Andreas Pieris

In SIGMOD Record. Vol. 40. No. 3. Pages 5–14. 2011.

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Datalog+⁄−: A Family of Languages for Ontology Querying

Andrea Calì‚ Georg Gottlob‚ Thomas Lukasiewicz and Andreas Pieris

In Oege de Moor‚ Georg Gottlob‚ Tim Furche and Andrew Jon Sellers, editors, Datalog Reloaded − 1st International Workshop‚ Datalog 2010‚ Oxford‚ UK‚ March 16−19‚ 2010. Revised Selected Papers. Vol. 6702 of Lecture Notes in Computer Science. Pages 351−368. Springer. 2011.

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Conjunctive Query Answering in Probabilistic Datalog+⁄− Ontologies

Georg Gottlob‚ Thomas Lukasiewicz and Gerardo I. Simari

In Sebastian Rudolph and Claudio Gutierrez, editors, Proceedings of the 5th International Conference on Web Reasoning and Rule Systems‚ RR 2011‚ Galway‚ Ireland‚ August 29−30‚ 2011. Vol. 6902 of Lecture Notes in Computer Science. Pages 77−92. Springer. 2011.

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Semantic Search on the Web

Bettina Fazzinga and Thomas Lukasiewicz

In Semantic Web. Vol. 1. No. 1/2. Pages 89–96. December, 2010.

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A Novel Combination of Answer Set Programming with Description Logics for the Semantic Web

Thomas Lukasiewicz

In IEEE Transactions on Knowledge and Data Engineering (TKDE). Vol. 22. No. 11. Pages 1577–1592. November, 2010.

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Proceedings of the 6th International Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2010‚ Shanghai‚ China‚ November 7‚ 2010

Fernando Bobillo‚ Rommel N. Carvalho‚ Paulo Cesar G. da Costa‚ Claudia d'Amato‚ Nicola Fanizzi‚ Kathryn B. Laskey‚ Kenneth J. Laskey‚ Thomas Lukasiewicz‚ Trevor Martin‚ Matthias Nickles and Michael Pool, editors

Vol. 654 of CEUR Workshop Proceedings. CEUR−WS.org. 2010.

Details about Proceedings of the 6th International Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2010‚ Shanghai‚ China‚ November 7‚ 2010 | BibTeX data for Proceedings of the 6th International Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2010‚ Shanghai‚ China‚ November 7‚ 2010 | Link to Proceedings of the 6th International Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2010‚ Shanghai‚ China‚ November 7‚ 2010

Proceedings of the 4th International Conference on Web Reasoning and Rule Systems‚ RR 2010‚ Bressanone/Brixen‚ Italy‚ September 22−24‚ 2010

Pascal Hitzler and Thomas Lukasiewicz, editors

Vol. 6333 of Lecture Notes in Computer Science. Springer. 2010.

Details about Proceedings of the 4th International Conference on Web Reasoning and Rule Systems‚ RR 2010‚ Bressanone/Brixen‚ Italy‚ September 22−24‚ 2010 | BibTeX data for Proceedings of the 4th International Conference on Web Reasoning and Rule Systems‚ RR 2010‚ Bressanone/Brixen‚ Italy‚ September 22−24‚ 2010 | Link to Proceedings of the 4th International Conference on Web Reasoning and Rule Systems‚ RR 2010‚ Bressanone/Brixen‚ Italy‚ September 22−24‚ 2010

Proceedings of the 1st International Workshop on Uncertainty in Description Logics‚ UniDL 2010‚ Edinburgh‚ UK‚ July 20‚ 2010

Thomas Lukasiewicz‚ Rafael Peñaloza and Anni−Yasmin Turhan, editors

Vol. 613 of CEUR Workshop Proceedings. CEUR−WS.org. 2010.

Details about Proceedings of the 1st International Workshop on Uncertainty in Description Logics‚ UniDL 2010‚ Edinburgh‚ UK‚ July 20‚ 2010 | BibTeX data for Proceedings of the 1st International Workshop on Uncertainty in Description Logics‚ UniDL 2010‚ Edinburgh‚ UK‚ July 20‚ 2010 | Link to Proceedings of the 1st International Workshop on Uncertainty in Description Logics‚ UniDL 2010‚ Edinburgh‚ UK‚ July 20‚ 2010

Tightly Coupled Fuzzy Description Logic Programs under the Answer Set Semantics for the Semantic Web

Thomas Lukasiewicz and Umberto Straccia

In M. Lytras and A. Sheth, editors, Progressive Concepts for Semantic Web Evolution: Applications and Developments. Pages 237−256. Information Science Reference. 2010.

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Combining Semantic Web Search with the Power of Inductive Reasoning

Claudia d'Amato‚ Nicola Fanizzi‚ Bettina Fazzinga‚ Georg Gottlob and Thomas Lukasiewicz

In Amol Deshpande and Anthony Hunter, editors, Proceedings of the 4th International Conference on Scalable Uncertainty Management‚ SUM 2010‚ Toulouse‚ France‚ September 27−29‚ 2010. Vol. 6379 of Lecture Notes in Computer Science. Pages 137−150. Springer. 2010.

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Inductive Reasoning and Semantic Web Search

Claudia d'Amato‚ Floriana Esposito‚ Nicola Fanizzi‚ Bettina Fazzinga‚ Georg Gottlob and Thomas Lukasiewicz

In Sung Y. Shin‚ Sascha Ossowski‚ Michael Schumacher‚ Mathew J. Palakal and Chih−Cheng Hung, editors, Proceedings of the 25th ACM Symposium on Applied Computing‚ SAC 2010‚ Sierre‚ Switzerland‚ March 22−26‚ 2010. Pages 1446−1447. ACM Press. 2010.

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Semantic Web Search Based on Ontological Conjunctive Queries

Bettina Fazzinga‚ Giorgio Gianforme‚ Georg Gottlob and Thomas Lukasiewicz

In Sebastian Link and Henri Prade, editors, Proceedings of the 6th International Symposium on the Foundations of Information and Knowledge Systems‚ FoIKS 2010‚ Sofia‚ Bulgaria‚ February 15−19‚ 2010. Vol. 5956 of Lecture Notes in Computer Science. Pages 153−172. Springer. 2010.

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Ontological Reasoning with F−Logic Lite and its Extensions

Andrea Calì‚ Georg Gottlob‚ Michael Kifer‚ Thomas Lukasiewicz and Andreas Pieris

In Maria Fox and David Poole, editors, Proceedings of the 24th AAAI Conference on Artificial Intelligence‚ AAAI 2010‚ Atlanta‚ Georgia‚ USA‚ July 11−15‚ 2010. AAAI Press. 2010.

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Datalog+⁄−: A Family of Logical Knowledge Representation and Query Languages for New Applications

Andrea Calì‚ Georg Gottlob‚ Thomas Lukasiewicz‚ Bruno Marnette and Andreas Pieris

In Proceedings of the 25th IEEE Symposium on Logic in Computer Science‚ LICS 2010‚ Edinburgh‚ UK‚ July 2010. Pages 228–242. IEEE Computer Society. 2010.

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Description Logic Programs under Probabilistic Uncertainty and Fuzzy Vagueness

Thomas Lukasiewicz and Umberto Straccia

In International Journal of Approximate Reasoning. Vol. 50. No. 6. Pages 837–853. June, 2009.

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Reasoning about Actions with Sensing under Qualitative and Probabilistic Uncertainty

Luca Iocchi‚ Thomas Lukasiewicz‚ Daniele Nardi and Riccardo Rosati

In ACM Transactions on Computational Logic (TOCL). Vol. 10. No. 1. Pages 5:1–5:41. January, 2009.

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Proceedings of the 5th International Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2009‚ Washington DC‚ USA‚ October 26‚ 2009

Fernando Bobillo‚ Paulo Cesar G. da Costa‚ Claudia d'Amato‚ Nicola Fanizzi‚ Kathryn B. Laskey‚ Kenneth J. Laskey‚ Thomas Lukasiewicz‚ Trevor Martin‚ Matthias Nickles‚ Michael Pool and Pavel Smrz, editors

Vol. 527 of CEUR Workshop Proceedings. CEUR−WS.org. 2009.

Details about Proceedings of the 5th International Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2009‚ Washington DC‚ USA‚ October 26‚ 2009 | BibTeX data for Proceedings of the 5th International Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2009‚ Washington DC‚ USA‚ October 26‚ 2009 | Link to Proceedings of the 5th International Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2009‚ Washington DC‚ USA‚ October 26‚ 2009

Semantic Web Information Management − A Model−Based Perspective

Andrea Calì‚ Georg Gottlob and Thomas Lukasiewicz

In Roberto De Virgilio‚ Fausto Giunchiglia and Letizia Tanca, editors, Semantic Web Information Management. Pages 249−279. Springer. 2009.

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Semantic Techniques for the Web: The REWERSE Perspective

Wlodzimierz Drabent‚ Thomas Eiter‚ Giovambattista Ianni‚ Thomas Krennwallner‚ Thomas Lukasiewicz and Jan Maluszynski

In François Bry and Jan Maluszynski, editors, REWERSE. Vol. 5500 of Lecture Notes in Computer Science. Pages 1−49. Springer. 2009.

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Tightly Coupled Probabilistic Description Logic Programs for the Semantic Web

Andrea Calì‚ Thomas Lukasiewicz‚ Livia Predoiu and Heiner Stuckenschmidt

In Journal on Data Semantics. Vol. 12. Pages 95−130. 2009.

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Combining Boolean Games with the Power of Ontologies for Automated Multi−attribute Negotiation in the Semantic Web

Thomas Lukasiewicz and Azzurra Ragone

In Proceedings of the 2009 IEEE/WIC/ACM International Conference on Intelligent Agent Technology‚ IAT 2009‚ Milan‚ Italy‚ 15−18 September 2009. Pages 395−402. IEEE Computer Society. 2009.

Details about Combining Boolean Games with the Power of Ontologies for Automated Multi−attribute Negotiation in the Semantic Web | BibTeX data for Combining Boolean Games with the Power of Ontologies for Automated Multi−attribute Negotiation in the Semantic Web | Link to Combining Boolean Games with the Power of Ontologies for Automated Multi−attribute Negotiation in the Semantic Web

A Combination of Boolean Games with Description Logics for Automated Multi−Attribute Negotiation

Thomas Lukasiewicz and Azzurra Ragone

In Bernardo Cuenca Grau‚ Ian Horrocks‚ Boris Motik and Ulrike Sattler, editors, Proceedings of the 22nd International Workshop on Description Logics‚ DL 2009‚ Oxford‚ UK‚ July 27−30‚ 2009. Vol. 477 of CEUR Workshop Proceedings. CEUR−WS.org. 2009.

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Tractable Query Answering over Ontologies with Datalog+⁄−

Andrea Calì‚ Georg Gottlob and Thomas Lukasiewicz

In Bernardo Cuenca Grau‚ Ian Horrocks‚ Boris Motik and Ulrike Sattler, editors, Proceedings of the 22nd International Workshop on Description Logics‚ DL 2009‚ Oxford‚ UK‚ July 27−30‚ 2009. Vol. 477 of CEUR Workshop Proceedings. CEUR−WS.org. 2009.

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Approximate Classification of Semantically Annotated Web Resources Exploiting Pseudo−Metrics Induced by Local Models

Claudia d'Amato‚ Nicola Fanizzi‚ Floriana Esposito and Thomas Lukasiewicz

In Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence‚ WI 2009‚ Milan‚ Italy‚ 15−18 September 2009. Pages 689−692. IEEE Computer Society. 2009.

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Uncertainty in the Semantic Web

Thomas Lukasiewicz

In Lluis Godo and Andrea Pugliese, editors, Proceedings of the 3rd International Conference on Scalable Uncertainty Management‚ SUM 2009‚ Washington‚ DC‚ USA‚ September 28−30‚ 2009. Vol. 5785 of Lecture Notes in Computer Science. Pages 2−11. Springer. 2009.

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Combining Semantic Web Search with the Power of Inductive Reasoning

Claudia d'Amato‚ Nicola Fanizzi‚ Bettina Fazzinga‚ Georg Gottlob and Thomas Lukasiewicz

In Fernando Bobillo‚ Paulo Cesar G. da Costa‚ Claudia d'Amato‚ Nicola Fanizzi‚ Kathryn B. Laskey‚ Kenneth J. Laskey‚ Thomas Lukasiewicz‚ Trevor Martin‚ Matthias Nickles‚ Michael Pool and Pavel Smrz, editors, Proceedings of the 5th International Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2009‚ Washington DC‚ USA‚ October 26‚ 2009. Vol. 527 of CEUR Workshop Proceedings. Pages 15−26. CEUR−WS.org. 2009.

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A General Datalog−Based Framework for Tractable Query Answering over Ontologies (Extended Abstract)

Andrea Calì‚ Georg Gottlob and Thomas Lukasiewicz

In Valeria De Antonellis‚ Silvana Castano‚ Barbara Catania and Giovanna Guerrini, editors, Proceedings of the 17th Italian Symposium on Advanced Database Systems‚ SEBD 2009‚ Camogli‚ Italy‚ June 21−24‚ 2009. Pages 29−36. Edizioni Seneca. 2009.

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Uncertainty Reasoning for the Semantic Web

Thomas Lukasiewicz

In Axel Polleres and Terrance Swift, editors, Proceedings of the 3rd International Conference on Web Reasoning and Rule Systems‚ RR 2009‚ Chantilly‚ VA‚ USA‚ October 25−26‚ 2009. Vol. 5837 of Lecture Notes in Computer Science. Pages 26−39. Springer. 2009.

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A General Datalog−Based Framework for Tractable Query Answering over Ontologies

Andrea Calì‚ Georg Gottlob and Thomas Lukasiewicz

In Jan Paredaens and Jianwen Su, editors, Proceedings of the 28th ACM Symposium on Principles of Database Systems‚ PODS 2009‚ Providence‚ Rhode Island‚ USA‚ June 19 − July 1‚ 2009. Pages 77−86. ACM Press. 2009.

Details about A General Datalog−Based Framework for Tractable Query Answering over Ontologies | BibTeX data for A General Datalog−Based Framework for Tractable Query Answering over Ontologies | Link to A General Datalog−Based Framework for Tractable Query Answering over Ontologies

Inductive Query Answering and Concept Retrieval Exploiting Local Models

Claudia d'Amato‚ Nicola Fanizzi‚ Floriana Esposito and Thomas Lukasiewicz

In Proceedings of the 9th International Conference on Intelligent Systems Design and Applications‚ ISDA 2009‚ Pisa‚ Italy‚ November 30−December 2‚ 2009. Pages 1209−1214. IEEE Computer Society. 2009.

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Datalog^±: A Unified Approach to Ontologies and Integrity Constraints

Andrea Calì‚ Georg Gottlob and Thomas Lukasiewicz

In Ronald Fagin, editor, Proceedings of the 12th International Conference on Database Theory‚ ICDT 2009‚ St. Petersburg‚ Russia‚ March 23−25‚ 2009. Vol. 361 of ACM International Conference Proceeding Series. Pages 14−30. ACM Press. 2009.

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Probabilistic Description Logic Programs under Inheritance with Overriding for the Semantic Web

Thomas Lukasiewicz

In International Journal of Approximate Reasoning. Vol. 49. No. 1. Pages 18–34. September, 2008.

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Logical Approaches to Imprecise Probabilities

Thomas Lukasiewicz

In International Journal of Approximate Reasoning. Vol. 49. No. 1. Pages 1–2. September, 2008.

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Combining Answer Set Programming with Description Logics for the Semantic Web

Thomas Eiter‚ Giovambattista Ianni‚ Thomas Lukasiewicz‚ Roman Schindlauer and Hans Tompits

In Artificial Intelligence. Vol. 172. No. 12/13. Pages 1495–1539. August, 2008.

AIJ Prominent Paper Award 2013

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Fuzzy Description Logic Programs under the Answer Set Semantics for the Semantic Web

Thomas Lukasiewicz

In Fundamenta Informaticae. Vol. 82. No. 3. Pages 289–310. May, 2008.

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Expressive Probabilistic Description Logics

Thomas Lukasiewicz

In Artificial Intelligence. Vol. 172. No. 6/7. Pages 852–883. April, 2008.

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Managing Uncertainty and Vagueness in Description Logics for the Semantic Web

Thomas Lukasiewicz and Umberto Straccia

In Journal of Web Semantics. Vol. 6. No. 4. Pages 291−308. November, 2008.

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Uncertainty Representation and Reasoning in the Semantic Web

Paulo C. G. da Costa‚ Kathryn B. Laskey and Thomas Lukasiewicz

In J. Cardoso and M. D. Lytras, editors, Semantic Web Engineering in the Knowledge Society. Pages 315−340. Information Science Reference. October, 2008.

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Proceedings of the 2nd International Conference on Scalable Uncertainty Management‚ SUM 2008‚ Naples‚ Italy‚ October 1−3‚ 2008

Sergio Greco and Thomas Lukasiewicz, editors

Vol. 5291 of Lecture Notes in Computer Science. Springer. 2008.

Details about Proceedings of the 2nd International Conference on Scalable Uncertainty Management‚ SUM 2008‚ Naples‚ Italy‚ October 1−3‚ 2008 | BibTeX data for Proceedings of the 2nd International Conference on Scalable Uncertainty Management‚ SUM 2008‚ Naples‚ Italy‚ October 1−3‚ 2008 | Link to Proceedings of the 2nd International Conference on Scalable Uncertainty Management‚ SUM 2008‚ Naples‚ Italy‚ October 1−3‚ 2008

Uncertainty Reasoning for the Semantic Web I‚ ISWC International Workshops‚ URSW 2005−2007‚ Revised Selected and Invited Papers

Paulo Cesar G. da Costa‚ Claudia d'Amato‚ Nicola Fanizzi‚ Kathryn B. Laskey‚ Kenneth J. Laskey‚ Thomas Lukasiewicz‚ Matthias Nickles and Michael Pool, editors

Vol. 5327 of Lecture Notes in Computer Science. Springer. 2008.

Details about Uncertainty Reasoning for the Semantic Web I‚ ISWC International Workshops‚ URSW 2005−2007‚ Revised Selected and Invited Papers | BibTeX data for Uncertainty Reasoning for the Semantic Web I‚ ISWC International Workshops‚ URSW 2005−2007‚ Revised Selected and Invited Papers | Link to Uncertainty Reasoning for the Semantic Web I‚ ISWC International Workshops‚ URSW 2005−2007‚ Revised Selected and Invited Papers

Proceedings of the 4th International Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2008‚ Karlsruhe‚ Germany‚ October 26‚ 2008

Fernando Bobillo‚ Paulo Cesar G. da Costa‚ Claudia d'Amato‚ Nicola Fanizzi‚ Kathryn B. Laskey‚ Kenneth J. Laskey‚ Thomas Lukasiewicz‚ Trevor P. Martin‚ Matthias Nickles‚ Michael Pool and Pavel Smrz, editors

Vol. 423 of CEUR Workshop Proceedings. CEUR−WS.org. 2008.

Details about Proceedings of the 4th International Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2008‚ Karlsruhe‚ Germany‚ October 26‚ 2008 | BibTeX data for Proceedings of the 4th International Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2008‚ Karlsruhe‚ Germany‚ October 26‚ 2008 | Link to Proceedings of the 4th International Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2008‚ Karlsruhe‚ Germany‚ October 26‚ 2008

Proceedings of the 3rd ISWC Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2007‚ Busan‚ Korea‚ November 12‚ 2007

Fernando Bobillo‚ Paulo Cesar G. da Costa‚ Claudia d'Amato‚ Nicola Fanizzi‚ Francis Fung‚ Thomas Lukasiewicz‚ Trevor Martin‚ Matthias Nickles‚ Yun Peng‚ Michael Pool‚ Pavel Smrz and Peter Vojtás, editors

Vol. 327 of CEUR Workshop Proceedings. CEUR−WS.org. 2008.

Details about Proceedings of the 3rd ISWC Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2007‚ Busan‚ Korea‚ November 12‚ 2007 | BibTeX data for Proceedings of the 3rd ISWC Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2007‚ Busan‚ Korea‚ November 12‚ 2007 | Link to Proceedings of the 3rd ISWC Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2007‚ Busan‚ Korea‚ November 12‚ 2007

Rule−Based Approaches for Representing Probabilistic Ontology Mappings

Andrea Calì‚ Thomas Lukasiewicz‚ Livia Predoiu and Heiner Stuckenschmidt

In Paulo Cesar G. da Costa‚ Claudia d'Amato‚ Nicola Fanizzi‚ Kathryn B. Laskey‚ Kenneth J. Laskey‚ Thomas Lukasiewicz‚ Matthias Nickles and Michael Pool, editors, Uncertainty Reasoning for the Semantic Web I‚ ISWC International Workshops‚ URSW 2005−2007‚ Revised Selected and Invited Papers. Vol. 5327 of Lecture Notes in Computer Science. Pages 66−87. Springer. 2008.

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An Approach to Probabilistic Data Integration for the Semantic Web

Andrea Calì and Thomas Lukasiewicz

In Paulo Cesar G. da Costa‚ Claudia d'Amato‚ Nicola Fanizzi‚ Kathryn B. Laskey‚ Kenneth J. Laskey‚ Thomas Lukasiewicz‚ Matthias Nickles and Michael Pool, editors, Uncertainty Reasoning for the Semantic Web I‚ ISWC International Workshops‚ URSW 2005−2007‚ Revised Selected and Invited Papers. Vol. 5327 of Lecture Notes in Computer Science. Pages 52−65. Springer. 2008.

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Tightly Coupled Fuzzy Description Logic Programs under the Answer Set Semantics for the Semantic Web

Thomas Lukasiewicz and Umberto Straccia

In International Journal on Semantic Web and Information Systems. Vol. 4. No. 3. Pages 68–89. 2008.

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Using Search Strategies and a Description Logic Paradigm with Conditional Preferences for Literature Search

Jörg Schellhase and Thomas Lukasiewicz

In International Journal of Metadata‚ Semantics and Ontologies. Vol. 3. No. 1. Pages 68–83. 2008.

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A Framework for Representing Ontology Mappings under Probabilities and Inconsistency

Andrea Calì‚ Thomas Lukasiewicz‚ Livia Predoiu and Heiner Stuckenschmidt

In Fernando Bobillo‚ Paulo Cesar G. da Costa‚ Claudia d'Amato‚ Nicola Fanizzi‚ Francis Fung‚ Thomas Lukasiewicz‚ Trevor Martin‚ Matthias Nickles‚ Yun Peng‚ Michael Pool‚ Pavel Smrz and Peter Vojtás, editors, Proceedings of the 3rd ISWC Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2007‚ Busan‚ Korea‚ November 12‚ 2007. Vol. 327 of CEUR Workshop Proceedings. CEUR−WS.org. 2008.

Details about A Framework for Representing Ontology Mappings under Probabilities and Inconsistency | BibTeX data for A Framework for Representing Ontology Mappings under Probabilities and Inconsistency | Download (pdf) of A Framework for Representing Ontology Mappings under Probabilities and Inconsistency

Tractable Reasoning with Bayesian Description Logics

Claudia d'Amato‚ Nicola Fanizzi and Thomas Lukasiewicz

In Sergio Greco and Thomas Lukasiewicz, editors, Proceedings of the 2nd International Conference on Scalable Uncertainty Management‚ SUM 2008‚ Naples‚ Italy‚ October 1−3‚ 2008. Vol. 5291 of Lecture Notes in Computer Science. Pages 146−159. Springer. 2008.

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Combining Boolean Games with the Power of Ontologies for Automated Multi−Attribute Negotiation in the Semantic Web

Thomas Lukasiewicz and Azzurra Ragone

In Rubén Lara Hernandez‚ Tommaso Di Noia and Ioan Toma, editors, Proceedings of the 2nd International Workshop on Service Matchmaking and Resource Retrieval in the Semantic Web‚ SMRR 2008‚ Karlsruhe‚ Germany‚ October 27‚ 2008. Vol. 416 of CEUR Workshop Proceedings. CEUR−WS.org. 2008.

Details about Combining Boolean Games with the Power of Ontologies for Automated Multi−Attribute Negotiation in the Semantic Web | BibTeX data for Combining Boolean Games with the Power of Ontologies for Automated Multi−Attribute Negotiation in the Semantic Web | Download (pdf) of Combining Boolean Games with the Power of Ontologies for Automated Multi−Attribute Negotiation in the Semantic Web

Representing Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations

Nicola Fanizzi‚ Claudia d'Amato‚ Floriana Esposito and Thomas Lukasiewicz

In Fernando Bobillo‚ Paulo Cesar G. da Costa‚ Claudia d'Amato‚ Nicola Fanizzi‚ Kathryn B. Laskey‚ Kenneth J. Laskey‚ Thomas Lukasiewicz‚ Trevor P. Martin‚ Matthias Nickles‚ Michael Pool and Pavel Smrz, editors, Proceedings of the 4th International Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2008‚ Karlsruhe‚ Germany‚ October 26‚ 2008. Vol. 423 of CEUR Workshop Proceedings. CEUR−WS.org. 2008.

Details about Representing Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations | BibTeX data for Representing Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations | Download (pdf) of Representing Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations

Representing Ontology Mappings with Probabilistic Description Logics Programs

Andrea Calì‚ Thomas Lukasiewicz‚ Livia Predoiu and Heiner Stuckenschmidt

In Salvatore Gaglio‚ Ignazio Infantino and Domenico Saccà, editors, Proceedings of the 16th Italian Symposium on Advanced Database Systems‚ SEBD 2008‚ Mondello‚ Italy‚ June 22−25‚ 2008. Pages 438−445. 2008.

Details about Representing Ontology Mappings with Probabilistic Description Logics Programs | BibTeX data for Representing Ontology Mappings with Probabilistic Description Logics Programs | Download (pdf) of Representing Ontology Mappings with Probabilistic Description Logics Programs

Tightly Integrated Probabilistic Description Logic Programs for Representing Ontology Mappings

Andrea Calì‚ Thomas Lukasiewicz‚ Livia Predoiu and Heiner Stuckenschmidt

In Sven Hartmann and Gabriele Kern−Isberner, editors, Proceedings of the 5th International Symposium on the Foundations of Information and Knowledge Systems‚ FoIKS 2008‚ Pisa‚ Italy‚ February 11−15‚ 2008. Vol. 4932 of Lecture Notes in Computer Science. Pages 178−198. Springer. 2008.

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Variable−Strength Conditional Preferences for Ranking Objects in Ontologies

Thomas Lukasiewicz and Jörg Schellhase

In Journal of Web Semantics. Vol. 5. No. 3. Pages 180–194. September, 2007.

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Probabilistic Description Logic Programs

Thomas Lukasiewicz

In International Journal of Approximate Reasoning. Vol. 45. No. 2. Pages 288–307. July, 2007.

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Nonmonotonic Probabilistic Logics under Variable−Strength Inheritance with Overriding: Complexity‚ Algorithms‚ and Implementation

Thomas Lukasiewicz

In International Journal of Approximate Reasoning. Vol. 44. No. 3. Pages 301–321. March, 2007.

Details about Nonmonotonic Probabilistic Logics under Variable−Strength Inheritance with Overriding: Complexity‚ Algorithms‚ and Implementation | BibTeX data for Nonmonotonic Probabilistic Logics under Variable−Strength Inheritance with Overriding: Complexity‚ Algorithms‚ and Implementation | Link to Nonmonotonic Probabilistic Logics under Variable−Strength Inheritance with Overriding: Complexity‚ Algorithms‚ and Implementation

Reasoning with Imprecise Probabilities

Andrés Cano‚ Fabio Gagliardi Cozman and Thomas Lukasiewicz

In International Journal of Approximate Reasoning. Vol. 44. No. 3. Pages 197–199. March, 2007.

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Adaptive Multi−agent Programming in GTGolog

Alberto Finzi and Thomas Lukasiewicz

In Christian Freksa‚ Michael Kohlhase and Kerstin Schill, editors, Proceedings of the 29th German Conference on Artificial Intelligence‚ KI 2006‚ Bremen‚ Germany‚ June 14−17‚ 2006. Vol. 4314 of Lecture Notes in Computer Science. Pages 389−403. Springer. 2007.

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Game−Theoretic Agent Programming in Golog Under Partial Observability

Alberto Finzi and Thomas Lukasiewicz

In Christian Freksa‚ Michael Kohlhase and Kerstin Schill, editors, Proceedings of the 29th German Conference on Artificial Intelligence‚ KI 2006‚ Bremen‚ Germany‚ June 14−17‚ 2006. Vol. 4314 of Lecture Notes in Computer Science. Pages 113−127. Springer. 2007.

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Tractable Probabilistic Description Logic Programs

Thomas Lukasiewicz

In Henri Prade and V. S. Subrahmanian, editors, Proceedings of the 1st International Conference on Scalable Uncertainty Management‚ SUM 2007‚ Washington‚ DC‚ USA‚ October 10−12‚ 2007. Vol. 4772 of Lecture Notes in Computer Science. Pages 143−156. Springer. 2007.

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Top−k Retrieval in Description Logic Programs Under Vagueness for the Semantic Web

Thomas Lukasiewicz and Umberto Straccia

In Henri Prade and V. S. Subrahmanian, editors, Proceedings of the 1st International Conference on Scalable Uncertainty Management‚ SUM 2007‚ Washington‚ DC‚ USA‚ October 10−12‚ 2007. Vol. 4772 of Lecture Notes in Computer Science. Pages 16−30. Springer. 2007.

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Tightly Integrated Fuzzy Description Logic Programs Under the Answer Set Semantics for the Semantic Web

Thomas Lukasiewicz and Umberto Straccia

In Massimo Marchiori‚ Jeff Z. Pan and Christian de Sainte Marie, editors, Proceedings of the 1st International Conference on Web Reasoning and Rule Systems‚ RR 2007‚ Innsbruck‚ Austria‚ June 7−8‚ 2007. Vol. 4524 of Lecture Notes in Computer Science. Pages 289−298. Springer. 2007.

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Team Programming in Golog under Partial Observability

Alessandro Farinelli‚ Alberto Finzi and Thomas Lukasiewicz

In Manuela M. Veloso, editor, Proceedings of the 20th International Joint Conference on Artificial Intelligence‚ IJCAI 2007‚ Hyderabad‚ India‚ January 6−12‚ 2007. Pages 2097−2102. 2007.

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Tightly Integrated Probabilistic Description Logic Programs for the Semantic Web

Andrea Calì and Thomas Lukasiewicz

In Verónica Dahl and Ilkka Niemelä, editors, Proceedings of the 23rd International Conference on Logic Programming‚ ICLP 2007‚ Porto‚ Portugal‚ September 8−13‚ 2007. Vol. 4670 of Lecture Notes in Computer Science. Pages 428−429. Springer. 2007.

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A Novel Combination of Answer Set Programming with Description Logics for the Semantic Web

Thomas Lukasiewicz

In Enrico Franconi‚ Michael Kifer and Wolfgang May, editors, Proceedings of the 4th European Semantic Web Conference‚ ESWC 2007‚ Innsbruck‚ Austria‚ June 3−7‚ 2007. Vol. 4519 of Lecture Notes in Computer Science. Pages 384−398. Springer. 2007.

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Description Logic Programs Under Probabilistic Uncertainty and Fuzzy Vagueness

Thomas Lukasiewicz and Umberto Straccia

In Khaled Mellouli, editor, Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty‚ ECSQARU 2007‚ Hammamet‚ Tunisia‚ October 31 − November 2‚ 2007. Vol. 4724 of Lecture Notes in Computer Science. Pages 187−198. Springer. 2007.

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Causes and Explanations in the Structural−Model Approach: Tractable Cases

Thomas Eiter and Thomas Lukasiewicz

In Artificial Intelligence. Vol. 170. No. 6/7. Pages 542–580. May, 2006.

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Preferences‚ Links‚ and Probabilities for Ranking Objects in Ontologies

Thomas Lukasiewicz and Jörg Schellhase

In Paulo Cesar G. da Costa‚ Kathryn B. Laskey‚ Kenneth J. Laskey‚ Francis Fung and Michael Pool, editors, Proceedings of the 2nd ISWC Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2006‚ Athens‚ Georgia‚ USA‚ November 5‚ 2006. Vol. 218 of CEUR Workshop Proceedings. CEUR−WS.org. 2006.

Details about Preferences‚ Links‚ and Probabilities for Ranking Objects in Ontologies | BibTeX data for Preferences‚ Links‚ and Probabilities for Ranking Objects in Ontologies | Download (pdf) of Preferences‚ Links‚ and Probabilities for Ranking Objects in Ontologies

An Approach to Probabilistic Data Integration for the Semantic Web

Andrea Calì and Thomas Lukasiewicz

In Paulo Cesar G. da Costa‚ Kathryn B. Laskey‚ Kenneth J. Laskey‚ Francis Fung and Michael Pool, editors, Proceedings of the 2nd ISWC Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2006‚ Athens‚ Georgia‚ USA‚ November 5‚ 2006. Vol. 218 of CEUR Workshop Proceedings. CEUR−WS.org. 2006.

Details about An Approach to Probabilistic Data Integration for the Semantic Web | BibTeX data for An Approach to Probabilistic Data Integration for the Semantic Web | Download (pdf) of An Approach to Probabilistic Data Integration for the Semantic Web

Fuzzy Description Logic Programs under the Answer Set Semantics for the Semantic Web

Thomas Lukasiewicz

In Thomas Eiter‚ Enrico Franconi‚ Ralph Hodgson and Susie Stephens, editors, Proceedings of the 2nd International Conference on Rules and Rule Markup Languages for the Semantic Web‚ RuleML 2006‚ Athens‚ Georgia‚ USA‚ November 10−11‚ 2006. Pages 89−96. IEEE Computer Society. 2006.

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Variable−Strength Conditional Preferences for Matchmaking in Description Logics

Thomas Lukasiewicz and Jörg Schellhase

In Patrick Doherty‚ John Mylopoulos and Christopher A. Welty, editors, Proceedings of the 10th International Conference on the Principles of Knowledge Representation and Reasoning‚ KR 2006‚ Lake District‚ UK‚ June 2−5‚ 2006. Pages 164−174. AAAI Press. 2006.

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Variable−Strength Conditional Preferences for Ranking Objects in Ontologies

Thomas Lukasiewicz and Jörg Schellhase

In York Sure and John Domingue, editors, Proceedings of the 3rd European Semantic Web Conference‚ ESWC 2006‚ Budva‚ Montenegro‚ June 11−14‚ 2006. Vol. 4011 of Lecture Notes in Computer Science. Pages 288−302. Springer. 2006.

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Adaptive Multi−Agent Programming in GTGolog

Alberto Finzi and Thomas Lukasiewicz

In Gerhard Brewka‚ Silvia Coradeschi‚ Anna Perini and Paolo Traverso, editors, Proceedings of the 17th European Conference on Artificial Intelligence‚ ECAI 2006‚ Riva del Garda‚ Italy‚ August 29 − September 1‚ 2006. Vol. 141 of Frontiers in Artificial Intelligence and Applications. Pages 753−754. IOS Press. 2006.

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Weak Nonmonotonic Probabilistic Logics

Thomas Lukasiewicz

In Artificial Intelligence. Vol. 168. No. 1/2. Pages 119–161. October, 2005.

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Probabilistic Logic under Coherence: Complexity and Algorithms

Veronica Biazzo‚ Angelo Gilio‚ Thomas Lukasiewicz and Giuseppe Sanfilippo

In Annals of Mathematics and Artificial Intelligence. Vol. 45. No. 1/2. Pages 35–81. October, 2005.

Details about Probabilistic Logic under Coherence: Complexity and Algorithms | BibTeX data for Probabilistic Logic under Coherence: Complexity and Algorithms | Link to Probabilistic Logic under Coherence: Complexity and Algorithms

Nonmonotonic Probabilistic Reasoning under Variable−Strength Inheritance with Overriding

Thomas Lukasiewicz

In Synthese. Vol. 146. No. 1/2. Pages 153–169. 2005.

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Game−Theoretic Agent Programming in Golog under Partial Observability

Alberto Finzi and Thomas Lukasiewicz

In P. Gmytrasiewicz and S. Parsons, editors, Proceedings of the IJCAI−2005 Workshop on Game−Theoretic and Decision−Theoretic Agents‚ GTDT 2005‚ Edinburgh‚ Scotland‚ UK‚ July 2005. 2005.

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Stratified Probabilistic Description Logic Programs

Thomas Lukasiewicz

In Paulo Cesar G. da Costa‚ Kathryn B. Laskey‚ Kenneth J. Laskey and Michael Pool, editors, Proceedings of the ISWC Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2005‚ Galway‚ Ireland‚ November 7‚ 2005. Pages 87−97. 2005.

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Game−Theoretic Reasoning About Actions in Nonmonotonic Causal Theories

Alberto Finzi and Thomas Lukasiewicz

In Chitta Baral‚ Gianluigi Greco‚ Nicola Leone and Giorgio Terracina, editors, Proceedings of the 8th International Conference on Logic Programming and Nonmonotonic Reasoning‚ LPNMR 2005‚ Diamante‚ Italy‚ September 5−8‚ 2005. Vol. 3662 of Lecture Notes in Computer Science. Pages 185−197. Springer. 2005.

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Nonmonotonic Probabilistic Logics under Variable−Strength Inheritance with Overriding: Algorithms and Implementation in NMPROBLOG

Thomas Lukasiewicz

In Fabio Gagliardi Cozman‚ Robert Nau and Teddy Seidenfeld, editors, Proceedings of the 4th International Symposium on Imprecise Probabilities and their Applications‚ ISIPTA 2005‚ Pittsburgh‚ PA‚ USA‚ July 20−23‚ 2005. Pages 230−239. SIPTA. 2005.

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Probabilistic Description Logic Programs

Thomas Lukasiewicz

In Lluis Godo, editor, Proceedings of the 8th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty‚ ECSQARU 2005‚ Barcelona‚ Spain‚ July 6−8‚ 2005. Vol. 3571 of Lecture Notes in Computer Science. Pages 737−749. Springer. 2005.

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Game−Theoretic Golog under Partial Observability

Alberto Finzi and Thomas Lukasiewicz

In Frank Dignum‚ Virginia Dignum‚ Sven Koenig‚ Sarit Kraus‚ Munindar P. Singh and Michael Wooldridge, editors, Proceedings of the 4th International Joint Conference on Autonomous Agents and Multiagent Systems‚ AAMAS 2005‚ Utrecht‚ The Netherlands‚ July 25−29‚ 2005. Pages 1301−1302. ACM Press. 2005.

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Combining Probabilistic Logic Programming with the Power of Maximum Entropy

Gabriele Kern−Isberner and Thomas Lukasiewicz

In Artificial Intelligence. Vol. 157. No. 1/2. Pages 139–202. August, 2004.

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Complexity Results for Explanations in the Structural−Model Approach

Thomas Eiter and Thomas Lukasiewicz

In Artificial Intelligence. Vol. 154. No. 1/2. Pages 145–198. April, 2004.

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Well−Founded Semantics for Description Logic Programs in the Semantic Web

Thomas Eiter‚ Thomas Lukasiewicz‚ Roman Schindlauer and Hans Tompits

In Grigoris Antoniou and Harold Boley, editors, Proceedings of the 3rd International Workshop on Rules and Rule Markup Languages for the Semantic Web‚ RuleML 2004‚ Hiroshima‚ Japan‚ November 8‚ 2004. Vol. 3323 of Lecture Notes in Computer Science. Pages 81−97. Springer. 2004.

Details about Well−Founded Semantics for Description Logic Programs in the Semantic Web | BibTeX data for Well−Founded Semantics for Description Logic Programs in the Semantic Web | Link to Well−Founded Semantics for Description Logic Programs in the Semantic Web

Qualitative and Probabilistic Uncertainty in Reasoning about Actions with Sensing

Luca Iocchi‚ Thomas Lukasiewicz‚ Daniele Nardi and Riccardo Rosati

In James P. Delgrande and Torsten Schaub, editors, Proceedings of the 10th International Workshop on Non−Monotonic Reasoning‚ NMR 2004‚ Whistler‚ Canada‚ June 6−8‚ 2004. Pages 240−248. 2004.

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Combining Answer Set Programming with Description Logics for the Semantic Web

Thomas Eiter‚ Thomas Lukasiewicz‚ Roman Schindlauer and Hans Tompits

In Didier Dubois‚ Christopher A. Welty and Mary−Anne Williams, editors, Proceedings of the 9th International Conference on the Principles of Knowledge Representation and Reasoning‚ KR 2004‚ Whistler‚ Canada‚ June 2−5‚ 2004. Pages 141−151. AAAI Press. 2004.

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Weak Nonmonotonic Probabilistic Logics

Thomas Lukasiewicz

In Didier Dubois‚ Christopher A. Welty and Mary−Anne Williams, editors, Proceedings of the 9th International Conference on the Principles of Knowledge Representation and Reasoning‚ KR 2004‚ Whistler‚ Canada‚ June 2−5‚ 2004. Pages 23−33. AAAI Press. 2004.

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Relational Markov Games

Alberto Finzi and Thomas Lukasiewicz

In José Júlio Alferes and João Alexandre Leite, editors, Proceedings of the 9th European Conference on Logics in Artificial Intelligence‚ JELIA 2004‚ Lisbon‚ Portugal‚ September 27−30‚ 2004. Vol. 3229 of Lecture Notes in Computer Science. Pages 320−333. Springer. 2004.

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Reasoning about Actions with Sensing under Qualitative and Probabilistic Uncertainty

Luca Iocchi‚ Thomas Lukasiewicz‚ Daniele Nardi and Riccardo Rosati

In Ramon López de Mántaras and Lorenza Saitta, editors, Proceedings of the 16th European Conference on Artificial Intelligence‚ ECAI 2004‚ Valencia‚ Spain‚ August 22−27‚ 2004. Pages 818−822. IOS Press. 2004.

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Game−Theoretic Agent Programming in Golog

Alberto Finzi and Thomas Lukasiewicz

In Ramon López de Mántaras and Lorenza Saitta, editors, Proceedings of the 16th Eureopean Conference on Artificial Intelligence‚ ECAI 2004‚ Valencia‚ Spain‚ August 22−27‚ 2004. Pages 23−27. IOS Press. 2004.

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Issues in Uncertainty in AI

Gabriele Kern−Isberner‚ Thomas Lukasiewicz and Emil Weydert

In International Journal of Uncertainty‚ Fuzziness and Knowledge−Based Systems. Vol. 11. No. supp02. Pages v−vi. November, 2003.

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Temporal Probabilistic Object Bases

Veronica Biazzo‚ Rosalba Giugno‚ Thomas Lukasiewicz and V. S. Subrahmanian

In IEEE Transactions on Knowledge and Data Engineering (TKDE). Vol. 15. No. 4. Pages 921–939. 2003.

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Structure−Based Causes and Explanations in the Independent Choice Logic

Alberto Finzi and Thomas Lukasiewicz

In Christopher Meek and Uffe Kjærulff, editors, Proceedings of the 19th Conference in Uncertainty in Artificial Intelligence‚ UAI 2003‚ Acapulco‚ Mexico‚ August 7−10‚ 2003. Pages 225−232. Morgan Kaufmann. 2003.

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Probabilistic Reasoning about Actions in Nonmonotonic Causal Theories

Thomas Eiter and Thomas Lukasiewicz

In Christopher Meek and Uffe Kjærulff, editors, Proceedings of the 19th Conference in Uncertainty in Artificial Intelligence‚ UAI 2003‚ Acapulco‚ Mexico‚ August 7−10‚ 2003. Pages 192−199. Morgan Kaufmann. 2003.

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Probabilistic Lexicographic Entailment under Variable−Strength Inheritance with Overriding

Thomas Lukasiewicz

In Thomas D. Nielsen and Nevin Lianwen Zhang, editors, Proceedings of the 7th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty‚ ECSQARU 2003‚ Aalborg‚ Denmark‚ July 2−5‚ 2003. Vol. 2711 of Lecture Notes in Computer Science. Pages 576−587. Springer. 2003.

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Probabilistic Default Reasoning with Conditional Constraints

Thomas Lukasiewicz

In Annals of Mathematics and Artificial Intelligence. Vol. 34. No. 1–3. Pages 35–88. March, 2002.

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Complexity Results for Structure−Based Causality

Thomas Eiter and Thomas Lukasiewicz

In Artificial Intelligence. Vol. 142. No. 1. Pages 53–89. November, 2002.

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Probabilistic Logic under Coherence‚ Model−Theoretic Probabilistic Logic‚ and Default Reasoning in System P

Veronica Biazzo‚ Angelo Gilio‚ Thomas Lukasiewicz and Giuseppe Sanfilippo

In Journal of Applied Non−Classical Logics. Vol. 12. No. 2. Pages 189–213. 2002.

Details about Probabilistic Logic under Coherence‚ Model−Theoretic Probabilistic Logic‚ and Default Reasoning in System P | BibTeX data for Probabilistic Logic under Coherence‚ Model−Theoretic Probabilistic Logic‚ and Default Reasoning in System P | Link to Probabilistic Logic under Coherence‚ Model−Theoretic Probabilistic Logic‚ and Default Reasoning in System P

Causes and Explanations in the Structural−Model Approach : Tractable Cases

Thomas Eiter and Thomas Lukasiewicz

In Adnan Darwiche and Nir Friedman, editors, Proceedings of the 18th Conference on Uncertainty in Artificial Intelligence‚ UAI 2002‚ Edmonton‚ Alberta‚ Canada‚ August 1−4‚ 2002. Pages 146−153. Morgan Kaufmann. 2002.

Details about Causes and Explanations in the Structural−Model Approach : Tractable Cases | BibTeX data for Causes and Explanations in the Structural−Model Approach : Tractable Cases | Link to Causes and Explanations in the Structural−Model Approach : Tractable Cases

Nonmonotonic Probabilistic Logics between Model−Theoretic Probabilistic Logic and Probabilistic Logic under Coherence

Thomas Lukasiewicz

In Salem Benferhat and Enrico Giunchiglia, editors, Proceedings of the 9th International Workshop on Non−Monotonic Reasoning‚ NMR 2002‚ Toulouse‚ France‚ April 19−21‚ 2002. Pages 265−274. 2002.

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Complexity Results for Explanations in the Structural−Model Approach

Thomas Eiter and Thomas Lukasiewicz

In Dieter Fensel‚ Fausto Giunchiglia‚ Deborah L. McGuinness and Mary−Anne Williams, editors, Proceedings of the 8th International Conference on Principles and Knowledge Representation and Reasoning‚ KR 2002‚ Toulouse‚ France‚ April 22−25‚ 2002. Pages 49−60. Morgan Kaufmann. 2002.

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P−SHOQ(D): A Probabilistic Extension of SHOQ(D) for Probabilistic Ontologies in the Semantic Web

Rosalba Giugno and Thomas Lukasiewicz

In Sergio Flesca‚ Sergio Greco‚ Nicola Leone and Giovambattista Ianni, editors, Proceedings of the 8th European Conference on Logics in Artificial Intelligence‚ JELIA 2002‚ Cosenza‚ Italy‚ September 23−26‚ 2002. Vol. 2424 of Lecture Notes in Computer Science. Pages 86−97. Springer. 2002.

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Probabilistic Object Bases

Thomas Eiter‚ James J. Lu‚ Thomas Lukasiewicz and V. S. Subrahmanian

In ACM Transactions on Database Systems (TODS). Vol. 26. No. 3. Pages 264–312. September, 2001.

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Probabilistic Logic Programming with Conditional Constraints

Thomas Lukasiewicz

In ACM Transactions on Computational Logic (TOCL). Vol. 2. No. 3. Pages 289–339. July, 2001.

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A Data Model and Algebra for Probabilistic Complex Values

Thomas Eiter‚ Thomas Lukasiewicz and Michael Walter

In Annals of Mathematics and Artificial Intelligence. Vol. 33. No. 2–4. Pages 205–252. December, 2001.

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Probabilistic Logic Programming under Inheritance with Overriding

Thomas Lukasiewicz

In Jack S. Breese and Daphne Koller, editors, Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence‚ UAI 2001‚ Seattle‚ Washington‚ USA‚ August 2−5‚ 2001. Pages 329−336. Morgan Kaufmann. 2001.

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Fixpoint Characterizations for Many−Valued Disjunctive Logic Programs with Probabilistic Semantics

Thomas Lukasiewicz

In Thomas Eiter‚ Wolfgang Faber and Miroslaw Truszczynski, editors, Proceedings of the 6th International Conference on Logic Programming and Nonmonotonic Reasoning‚ LPNMR 2001‚ Vienna‚ Austria‚ September 17−19‚ 2001. Vol. 2173 of Lecture Notes in Computer Science. Pages 336−350. Springer. 2001.

Details about Fixpoint Characterizations for Many−Valued Disjunctive Logic Programs with Probabilistic Semantics | BibTeX data for Fixpoint Characterizations for Many−Valued Disjunctive Logic Programs with Probabilistic Semantics | Link to Fixpoint Characterizations for Many−Valued Disjunctive Logic Programs with Probabilistic Semantics

Probabilistic Logic under Coherence: Complexity and Algorithms

Veronica Biazzo‚ Angelo Gilio‚ Thomas Lukasiewicz and Giuseppe Sanfilippo

In Gert De Cooman‚ Terrence Fine and Teddy Seidenfeld, editors, Proceedings of the 2nd International Symposium on Imprecise Probabilities and their Applications‚ ISIPTA 2001‚ Ithaca‚ NY‚ USA‚ June 26−29‚ 2001. Pages 51−61. Shaker. 2001.

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Complexity Results for Structure−Based Causality

Thomas Eiter and Thomas Lukasiewicz

In Bernhard Nebel, editor, Proceedings of the 17th International Joint Conference on Artificial Intelligence‚ IJCAI 2001‚ Seattle‚ Washington‚ USA‚ August 4−10‚ 2001. Pages 35−42. Morgan Kaufmann. 2001.

IJCAI−01 Distinguished Paper Award (best paper of 796 submitted and 197 accepted papers at IJCAI−01).

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Probabilistic Logic under Coherence‚ Model−Theoretic Probabilistic Logic‚ and Default Reasoning

Veronica Biazzo‚ Angelo Gilio‚ Thomas Lukasiewicz and Giuseppe Sanfilippo

In Salem Benferhat and Philippe Besnard, editors, Proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty‚ ECSQARU 2001‚ Toulouse‚ France‚ September 19−21‚ 2001. Vol. 2143 of Lecture Notes in Computer Science. Pages 290−302. Springer. 2001.

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Default Reasoning from Conditional Knowledge Bases: Complexity and Tractable Cases

Thomas Eiter and Thomas Lukasiewicz

In Artificial Intelligence. Vol. 124. No. 2. Pages 169–241. December, 2000.

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Probabilistic Default Reasoning with Conditional Constraints

Thomas Lukasiewicz

In C. Baral and M. Truszczynski, editors, Proceedings of the 8th International Workshop on Non−Monotonic Reasoning‚ NMR 2000‚ Breckenridge‚ Colorado‚ USA‚ April 2000. Vol. 5. No. 024. 2000.

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Credal Networks under Maximum Entropy

Thomas Lukasiewicz

In Craig Boutilier and Moisés Goldszmidt, editors, Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence‚ UAI 2000‚ Stanford‚ California‚ USA‚ June 30 − July 3‚ 2000. Pages 363−370. Morgan Kaufmann. 2000.

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Complexity Results for Default Reasoning from Conditional Knowledge Bases

Thomas Eiter and Thomas Lukasiewicz

In Anthony G. Cohn‚ Fausto Giunchiglia and Bart Selman, editors, Proceedings of the 7th International Conference on the Principles of Knowledge Representation and Reasoning‚ KR 2000‚ Breckenridge‚ Colorado‚ USA‚ April 11−15‚ 2000. Pages 62−73. Morgan Kaufmann. 2000.

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New Tractable Cases in Default Reasoning from Conditional Knowledge Bases

Thomas Eiter and Thomas Lukasiewicz

In Manuel Ojeda−Aciego‚ Inman P. de Guzmán‚ Gerhard Brewka and Luís Moniz Pereira, editors, Proceedings of the 7th European Workshop on Logics in Artificial Intelligence‚ JELIA 2000‚ Malaga‚ Spain‚ September 29 − October 2‚ 2000. Vol. 1919 of Lecture Notes in Computer Science. Pages 313−328. Springer. 2000.

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Extension of the Relational Algebra to Probabilistic Complex Values

Thomas Eiter‚ Thomas Lukasiewicz and Michael Walter

In Klaus−Dieter Schewe and Bernhard Thalheim, editors, Proceedings of the 1st International Symposium on the Foundations of Information and Knowledge Systems‚ FoIKS 2000‚ Burg‚ Germany‚ February 14−17‚ 2000. Vol. 1762 of Lecture Notes in Computer Science. Pages 94−115. Springer. 2000.

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Local Probabilistic Deduction from Taxonomic and Probabilistic Knowledge−Bases over Conjunctive Events

Thomas Lukasiewicz

In International Journal of Approximate Reasoning. Vol. 21. No. 1. Pages 23–61. May, 1999.

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Probabilistic Deduction with Conditional Constraints over Basic Events

Thomas Lukasiewicz

In Journal of Artificial Intelligence Research (JAIR). Vol. 10. Pages 199–241. April, 1999.

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Many−Valued First−Order Logics with Probabilistic Semantics

Thomas Lukasiewicz

In Georg Gottlob‚ Etienne Grandjean and Katrin Seyr, editors, Proceedings of the 12th International Workshop on Computer Science Logic‚ CSL 1998‚ Annual Conference of the EACSL‚ Brno‚ Czech Republic‚ August 24−28‚ 1998. Vol. 1584 of Lecture Notes in Computer Science. Pages 415−429. Springer. 1999.

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Many−Valued Disjunctive Logic Programs with Probabilistic Semantics

Thomas Lukasiewicz

In Michael Gelfond‚ Nicola Leone and Gerald Pfeifer, editors, Proceedings of the 5th International Conference on Logic Programming and Nonmonotonic Reasoning‚ LPNMR 1999‚ El Paso‚ Texas‚ USA‚ December 2−4‚ 1999. Vol. 1730 of Lecture Notes in Computer Science. Pages 277−289. Springer. 1999.

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Probabilistic and Truth−Functional Many−Valued Logic Programming

Thomas Lukasiewicz

In Proceedings of the 29th IEEE International Symposium on Multiple−Valued Logic‚ ISMVL 1999‚ Freiburg‚ Germany‚ May 20−22‚ 1999. Pages 236−241. IEEE Computer Society. 1999.

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Probabilistic Logic Programming under Maximum Entropy

Thomas Lukasiewicz and Gabriele Kern−Isberner

In Anthony Hunter and Simon Parsons, editors, Proceedings of the 5th European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty‚ ECSQARU 1999‚ London‚ UK‚ July 5−9‚ 1999. Vol. 1638 of Lecture Notes in Computer Science. Pages 279−292. Springer. 1999.

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Magic Inference Rules for Probabilistic Deduction under Taxonomic Knowledge

Thomas Lukasiewicz

In Gregory F. Cooper and Serafín Moral, editors, Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence‚ UAI 1998‚ Madison‚ Wisconsin‚ USA‚ July 24−26‚ 1998. Pages 354−361. Morgan Kaufmann. 1998.

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Probabilistic Deduction with Conditional Constraints over Basic Events

Thomas Lukasiewicz

In Anthony G. Cohn‚ Lenhart K. Schubert and Stuart C. Shapiro, editors, Proceedings of the 6th International Conference on Principles of Knowledge Representation and Reasoning‚ KR 1998‚ Trento‚ Italy‚ June 2−5‚ 1998. Pages 380−393. Morgan Kaufmann. 1998.

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Probabilistic Logic Programming

Thomas Lukasiewicz

In Proceedings of the 13th European Conference on Artificial Intelligence‚ ECAI 1998‚ Brighton‚ UK‚ August 1998. Pages 388−392. 1998.

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Efficient Global Probabilistic Deduction from Taxonomic and Probabilistic Knowledge−Bases over Conjunctive Events

Thomas Lukasiewicz

In Forouzan Golshani and Kia Makki, editors, Proceedings of the 6th International Conference on Information and Knowledge Management‚ CIKM 1997‚ Las Vegas‚ Nevada‚ November 10−14‚ 1997. Pages 75−82. ACM Press. 1997.

Details about Efficient Global Probabilistic Deduction from Taxonomic and Probabilistic Knowledge−Bases over Conjunctive Events | BibTeX data for Efficient Global Probabilistic Deduction from Taxonomic and Probabilistic Knowledge−Bases over Conjunctive Events | Link to Efficient Global Probabilistic Deduction from Taxonomic and Probabilistic Knowledge−Bases over Conjunctive Events

Uncertain Reasoning in Concept Lattices

Thomas Lukasiewicz

In Christine Froidevaux and Jürg Kohlas, editors, Proceedings of the 3rd European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty‚ ECSQARU 1995‚ Fribourg‚ Switzerland‚ July 3−5‚ 1995. Vol. 946 of Lecture Notes in Computer Science. Pages 293−300. Springer. 1995.

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Taxonomic and Uncertain Integrity Constraints in Object−Oriented Databases − the TOP Approach

Thomas Lukasiewicz‚ Werner Kießling‚ Gerhard Köstler and Ulrich Güntzer

In Niki Pissinou‚ Avi Silberschatz‚ E. K. Park and Kia Makki, editors, Proceedings of the 4th International Conference on Information and Knowledge Management‚ CIKM 1995‚ Baltimore‚ Maryland‚ USA‚ November 28 − December 2‚ 1995. Pages 241−249. ACM Press. 1995.

Details about Taxonomic and Uncertain Integrity Constraints in Object−Oriented Databases − the TOP Approach | BibTeX data for Taxonomic and Uncertain Integrity Constraints in Object−Oriented Databases − the TOP Approach | Link to Taxonomic and Uncertain Integrity Constraints in Object−Oriented Databases − the TOP Approach

The TOP Database Model − Taxonomy‚ Object−Orientation and Probability

Werner Kießling‚ Thomas Lukasiewicz‚ Gerhard Köstler and Ulrich Güntzer

In Proceedings of the International Workshop on Uncertainty in Databases and Deductive Systems‚ Ithaca‚ New York‚ USA‚ November 1994. Pages 71−82. 1994.

Details about The TOP Database Model − Taxonomy‚ Object−Orientation and Probability | BibTeX data for The TOP Database Model − Taxonomy‚ Object−Orientation and Probability | Link to The TOP Database Model − Taxonomy‚ Object−Orientation and Probability