Publications

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

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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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Edward Small, Kacper Sokol, Daniel Manning, Flora D. Salim, Jeffrey Chan (2024). Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness. The 2024 ACM Conference on Fairness, Accountability, and Transparency, FAccT 2024, Rio de Janeiro, Brazil, June 3-6, 2024.
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Francesco Bombassei De Bona, Gabriele Dominici, Tim Miller, Marc Langheinrich, Martin Gjoreski (2024). Evaluating Explanations Through LLMs: Beyond Traditional User Studies. CoRR.
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Dario Fenoglio, Gabriele Dominici, Pietro Barbiero, Alberto Tonda, Martin Gjoreski, Marc Langheinrich (2024). Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning. Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024.
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Dario Fenoglio, Gabriele Dominici, Pietro Barbiero, Alberto Tonda, Martin Gjoreski, Marc Langheinrich (2024). Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning. CoRR.
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Alessandro Gobbetti, Martin Gjoreski, Hristijan Gjoreski, Nicholas D. Lane, Marc Langheinrich (2024). FedMMA-HAR: Federated Learning for Human Activity Recognition With Missing Modalities Using Head-Worn Wearables. IEEE Pervasive Comput..
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Daniil E. Kirilenko, Pietro Barbiero, Martin Gjoreski, Mitja Lustrek, Marc Langheinrich (2024). Generative Models for Counterfactual Explanations. Proceedings of the KDD Workshop on Human-Interpretable AI 2024 co-located with 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024), Centre de Convencions Internacional de Barcelona, Spain, August 26, 2024.
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Giansalvo Cirrincione, Vincenzo Randazzo, Pietro Barbiero, Gabriele Ciravegna, Eros Pasero (2024). Gradient-Based Competitive Learning: Theory. Cogn. Comput..
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