Peter A. Flach

Publications

Kacper Sokol, Peter A. Flach (2024). Interpretable representations in explainable AI: from theory to practice. Data Min. Knowl. Discov..

Jose Maria Alonso-Moral, Zach Anthis, Rafael Berlanga, Alejandro Catalá, Philipp Cimiano, Peter A. Flach, Eyke Hüllermeier, Tim Miller, Oana Mitrut, Dimitry Mindlin, Gabriela Moise, Alin Moldoveanu, Florica Moldoveanu, Kacper Sokol, Aitor Soroa (2024). Proceedings of the First Multimodal, Affective and Interactive eXplainable AI Workshop (MAI-XAI24 2024) co-located with 27th European Conference On Artificial Intelligence 19-24 October 2024 (ECAI 2024), Santiago de Compostela, Spain, October 19, 2024. CEUR-WS.org.

Peter A. Flach, Kacper Sokol, Jan Wielemaker (2023). Simply Logical - The First Three Decades. Prolog: The Next 50 Years.

Kacper Sokol, Alexander Hepburn, Raúl Santos-Rodriguez, Peter A. Flach (2022). What and How of Machine Learning Transparency: Building Bespoke Explainability Tools with Interoperable Algorithmic Components (Version 2022-jose). Zenodo.

Peter A. Flach, Kacper Sokol (2022). Simply Logical - Intelligent Reasoning by Example (Fully Interactive Online Edition) (Version v2.0). Zenodo.

Kacper Sokol, Raúl Santos-Rodríguez, Peter A. Flach (2022). FAT Forensics: A Python toolbox for algorithmic fairness, accountability and transparency. Softw. Impacts.

Kacper Sokol, Alexander Hepburn, Rafael Poyiadzi, Matthew Clifford, Raúl Santos-Rodríguez, Peter A. Flach (2022). FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems. CoRR.

Peter A. Flach, Kacper Sokol (2022). Simply Logical - Intelligent Reasoning by Example (Fully Interactive Online Edition). CoRR.

Kacper Sokol, Alexander Hepburn, Raúl Santos-Rodríguez, Peter A. Flach (2022). What and How of Machine Learning Transparency: Building Bespoke Explainability Tools with Interoperable Algorithmic Components. CoRR.