Publications

Peer-reviewed publications by members of the People-Centered Computing Lab, aggregated automatically from the authors’ DBLP profiles.

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Kacper Sokol, Edward Small, Yueqing Xuan (2025). Navigating explanatory multiverse through counterfactual path geometry. Mach. Learn..
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Pietro Barbiero, Giuseppe Marra, Gabriele Ciravegna, David Debot, Francesco De Santis, Michelangelo Diligenti, Mateo Espinosa Zarlenga, Francesco Giannini (2025). Neural Interpretable Reasoning. CoRR.
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Fatima Ezzeddine, Rinad Akel, Ihab Sbeity, Silvia Giordano, Marc Langheinrich, Omran Ayoub (2025). On the interplay of Explainability, Privacy and Predictive Performance with Explanation-assisted Model Extraction. CoRR.
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Fatima Ezzeddine, Rinad Akel, Ihab Sbeity, Silvia Giordano, Marc Langheinrich, Omran Ayoub (2025). On the Interplay of Explainability, Privacy and Predictive Performance with Explanation-assisted Model Extraction. Joint Proceedings of the xAI 2025 Late-breaking Work, Demos and Doctoral Consortium co-located with the 3rd World Conference on eXplainable Artificial Intelligence (xAI 2025), Istanbul, Turkey, July 9-11, 2025.
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Yueqing Xuan, Kacper Sokol, Mark Sanderson, Jeffrey Chan (2025). Perfect counterfactuals in imperfect worlds: modelling noisy implementation of actions in sequential algorithmic recourse. Mach. Learn..
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Lidia Alecci, Alessandro Zanzi, Matías Laporte, Leonardo Alchieri, Nouran Abdalazim, Giovanni de Felice, Silvia Santini (2025). Robust PPG Authentication: The Role of Temporal, Individual, and State Variability. Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp Companion 2025, Espoo, Finland, October 12-16, 2025.
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Giacomo Camposampiero, Pietro Barbiero, Michael Hersche, Roger Wattenhofer, Abbas Rahimi (2025). Scalable Evaluation and Neural Models for Compositional Generalization. Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, NeurIPS 2025, San Diego, CA, USA, December 2-7, 2025 / Mexico City, Mexico, November 30 - December 5, 2025.
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Giacomo Camposampiero, Pietro Barbiero, Michael Hersche, Roger Wattenhofer, Abbas Rahimi (2025). Scalable Evaluation and Neural Models for Compositional Generalization. CoRR.
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Francesco Sovrano, Emmie Hine, Stefano Anzolut, Alberto Bacchelli (2025). Simplifying software compliance: AI technologies in drafting technical documentation for the AI Act. Empir. Softw. Eng..
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Francesco De Santis, Philippe Bich, Gabriele Ciravegna, Pietro Barbiero, Tania Cerquitelli, Danilo Giordano (2025). Towards Better Generalization and Interpretability in Unsupervised Concept-Based Models. Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part III.
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Francesco De Santis, Philippe Bich, Gabriele Ciravegna, Pietro Barbiero, Danilo Giordano, Tania Cerquitelli (2025). Towards Better Generalization and Interpretability in Unsupervised Concept-Based Models. CoRR.
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Teague McMillan, Gabriele Dominici, Martin Gjoreski, Marc Langheinrich (2025). Towards Transparent Reasoning: What Drives Faithfulness in Large Language Models?. CoRR.
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Alvise Dei Rossi, Davide Marzorati, Tiziano Gerosa, Radoslava Svihrová, Silvia Santini, Francesca D. Faraci (2025). Unobtrusive Perceived Sleep Quality Monitoring in the Wild. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..
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Francesco Prinzi, Pietro Barbiero, Claudia Greco, Terry Amorese, Gennaro Cordasco, Pietro Liò, Salvatore Vitabile, Anna Esposito (2025). Using AI explainable models and handwriting/drawing tasks for psychological well-being. Inf. Syst..
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Mor Vered, Teena Hassan, Mandani Ntekouli, Sang Won Bae, Martin Gjoreski (2025). XAI for U 2025: 2$nd$ International Workshop on Explainable AI for Ubiquitous, Pervasive and Wearable Computing. Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp Companion 2025, Espoo, Finland, October 12-16, 2025.
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Sebastijan Trojer, Zoja Anzur, Martin Gjoreski, Gasper Slapnicar, Mitja Lustrek (2024). A Feature-Based Approach for Subtle Emotion Recognition in Realistic Scenarios. Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp Companion 2024, Melbourne, VIC, Australia, October 5-9, 2024.
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Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Marc Langheinrich (2024). AnyCBMs: How to Turn Any Black Box into a Concept Bottleneck Model. Joint Proceedings of the xAI 2024 Late-breaking Work, Demos and Doctoral Consortium co-located with the 2nd World Conference on eXplainable Artificial Intelligence (xAI-2024), Valletta, Malta, July 17-19, 2024.
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Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Marc Langheinrich (2024). AnyCBMs: How to Turn Any Black Box into a Concept Bottleneck Model. CoRR.
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Francesco Giannini, Stefano Fioravanti, Pietro Barbiero, Alberto Tonda, Pietro Liò, Elena Di Lavore (2024). Categorical Foundation of Explainable AI: A Unifying Theory. Explainable Artificial Intelligence - Second World Conference, xAI 2024, Valletta, Malta, July 17-19, 2024, Proceedings, Part III.
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Gabriele Dominici, Pietro Barbiero, Mateo Espinosa Zarlenga, Alberto Termine, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich (2024). Causal Concept Embedding Models: Beyond Causal Opacity in Deep Learning. CoRR.
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Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich (2024). Climbing the Ladder of Interpretability with Counterfactual Concept Bottleneck Models. CoRR.
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Aurora Spagnol, Kacper Sokol, Pietro Barbiero, Marc Langheinrich, Martin Gjoreski (2024). Counterfactual Explanations for Clustering Models. CoRR.
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Nursena Köprücü, Meher Shashwat Nigam, Shicheng Xu, Biruk Abere, Gabriele Dominici, Andrew Rodriguez, Sharvaree Vadgama, Berfin Inal, Alberto Tono (2024). DC3DO: Diffusion Classifier for 3D Objects. CoRR.
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Fatima Ezzeddine, Mirna Saad, Omran Ayoub, Davide Andreoletti, Martin Gjoreski, Ihab Sbeity, Marc Langheinrich, Silvia Giordano (2024). Differential Privacy for Anomaly Detection: Analyzing the Trade-off Between Privacy and Explainability. CoRR.
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Fatima Ezzeddine, Mirna Saad, Omran Ayoub, Davide Andreoletti, Martin Gjoreski, Ihab Sbeity, Marc Langheinrich, Silvia Giordano (2024). Differential Privacy for Anomaly Detection: Analyzing the Trade-Off Between Privacy and Explainability. Explainable Artificial Intelligence - Second World Conference, xAI 2024, Valletta, Malta, July 17-19, 2024, Proceedings, Part III.
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