Thomas Lukasiewicz

Professor Thomas Lukasiewicz

Professor of Computer Science

E: firstname.lastname at cs.ox.ac.uk

T: +44 (0)1865 522566

Themes:

• Artificial Intelligence and Machine Learning
• Data, Knowledge and Action
• Algorithms and Complexity Theory

Completed Projects:

• more…

Interests

For more information on Thomas Lukasiewicz and his team, see: Intelligent Systems Lab.

Selected Publications

View AllManage publications

• 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

• 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

• 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

Activities

• Deep Learning
• Knowledge Representation and Reasoning
• Databases

Completed Projects

• ExODA
• Probabilistic Semantic Query Answering on the Web
• PrOQAW
• PRODIMA
• Personalized Search on the Social Web
• DBOnto
• VADA
• RealPDBs
• PrefMPS

Current Students

Past Students

Past Researchers