On the Application of a Common Theoretical Explainability Framework in Information Retrieval - Andrea Albarelli; Claudio Lucchese; Matteo Rizzo; Alberto Veneri (Proceedings of the 14th Italian Information Retrieval Workshop, Udine, Italy, September 5-6, 2024, 2024)

Software Systems Compliance with the AI Act: Lessons Learned from an International Challenge - Teresa Scantamburlo; Paolo Falcarin; Alberto Veneri; Alessandro Fabris; Chiara Gallese; Valentina Billa; Francesca Rotolo; Federico Marcuzzi (Proceedings of the 2nd International Workshop on Responsible AI Engineering, RAIE 2024, Lisbon, Portugal, 16 April 2024, 2024)

A Theoretical Framework for AI Models Explainability with Application in Biomedicine - Matteo Rizzo; Alberto Veneri; Andrea Albarelli; Claudio Lucchese; Marco S. Nobile; Cristina Conati (IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2023, Eindhoven, The Netherlands, August 29-31, 2023, 2023)

Can Embeddings Analysis Explain Large Language Model Ranking? - Claudio Lucchese; Giorgia Minello; Franco Maria Nardini; Salvatore Orlando; Raffaele Perego; Alberto Veneri (Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023, 2023)

Explaining Learning to Rank Methods to Improve Them - Alberto Veneri (Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023, 2023)

GAM Forest Explanation - Claudio Lucchese; Salvatore Orlando; Raffaele Perego; Alberto Veneri (Proceedings 26th International Conference on Extending Database Technology, EDBT 2023, Ioannina, Greece, March 28-31, 2023, 2023)

Interpretable Ranking Using LambdaMART (Abstract) - Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando; Raffaele Perego; Alberto Veneri (Proceedings of the 12th Italian Information Retrieval Workshop 2022, Milan, Italy, June 29-30, 2022, 2022)

ILMART: Interpretable Ranking with Constrained LambdaMART - Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando; Raffaele Perego; Alberto Veneri (SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022, 2022)

ILMART: Interpretable Ranking with Constrained LambdaMART - Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando; Raffaele Perego; Alberto Veneri (CoRR, 2022)

A Theoretical Framework for AI Models Explainability - Matteo Rizzo; Alberto Veneri; Andrea Albarelli; Claudio Lucchese; Cristina Conati (CoRR, 2022)

Exploring eye movement data with image-based clustering - Michael Burch; Alberto Veneri; Bangjie Sun (J. Vis., 2020)

EyeClouds: A Visualization and Analysis Tool for Exploring Eye Movement Data - Michael Burch; Alberto Veneri; Bangjie Sun (Proceedings of the 12th International Symposium on Visual Information Communication and Interaction, VINCI 2019, Shanghai, China, September 20-22, 2019, 2019)