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, Eyke Hüllermeier (2025). All You Need for Counterfactual Explainability Is Principled and Reliable Estimate of Aleatoric and Epistemic Uncertainty. CoRR.
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Kacper Sokol, James C. Fackler, Julia E. Vogt (2025). Artificial intelligence should genuinely support clinical reasoning and decision making to bridge the translational gap. npj Digit. Medicine.
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Kacper Sokol, James C. Fackler, Julia E. Vogt (2025). Artificial Intelligence Should Genuinely Support Clinical Reasoning and Decision Making To Bridge the Translational Gap. CoRR.
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Mateo Espinosa Zarlenga, Gabriele Dominici, Pietro Barbiero, Zohreh Shams, Mateja Jamnik (2025). Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts. Forty-second International Conference on Machine Learning, ICML 2025, Vancouver, BC, Canada, July 13-19, 2025.
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Mateo Espinosa Zarlenga, Gabriele Dominici, Pietro Barbiero, Zohreh Shams, Mateja Jamnik (2025). Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts. CoRR.
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Francesco Sovrano, Sandro Vonlanthen, Alberto Bacchelli (2025). Beyond the lab: An in-depth analysis of real-world practices in government-to-citizen software user documentation. Inf. Softw. Technol..
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Nouran Abdalazim, Leonardo Alchieri, Lidia Alecci, Giovanni de Felice, Silvia Santini (2025). Blue Mondays and Happy Meals: Investigating the Impact of Contextual Factors on Mood States. 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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Francesco Sovrano (2025). Can Global XAI Methods Reveal Injected Bias in LLMs? SHAP vs Rule Extraction vs RuleSHAP. CoRR.
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Stefano Fioravanti, Francesco Giannini, Pietro Barbiero, Paolo Frazzetto, Roberto Confalonieri, Fabio Zanasi, Nicolò Navarin (2025). Categorical Explaining Functors: Ensuring Coherence in Logical Explanations. Proceedings of the 22nd International Conference on Principles of Knowledge Representation and Reasoning, KR 2025, Melbourne, Australia, November 11-17, 2025.
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Gabriele Dominici, Pietro Barbiero, Mateo Espinosa Zarlenga, Alberto Termine, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich (2025). Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning. The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025.
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Giovanni de Felice, Arianna Casanova Flores, Francesco De Santis, Silvia Santini, Johannes Schneider, Pietro Barbiero, Alberto Termine (2025). Causally Reliable Concept Bottleneck Models. 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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Giovanni de Felice, Arianna Casanova Flores, Francesco De Santis, Silvia Santini, Johannes Schneider, Pietro Barbiero, Alberto Termine (2025). Causally Reliable Concept Bottleneck Models. CoRR.
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Yueqing Xuan, Edward Small, Kacper Sokol, Danula Hettiachchi, Mark Sanderson (2025). Comprehension is a double-edged sword: Over-interpreting unspecified information in intelligible machine learning explanations. Int. J. Hum. Comput. Stud..
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Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich (2025). Counterfactual Concept Bottleneck Models. The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025.
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Matea Marinova, Emilija Chona, Andrej Kotevski, Borjan Sazdov, Ivana Kiprijanovska, Simon Stankoski, Martin Gjoreski, Charles Nduka, Hristijan Gjoreski (2025). Deep Learning for Facial Expression and Human Activity Recognition Using Smart Glasses. IEEE Access.
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Andrea Pugnana, Riccardo Massidda, Francesco Giannini, Pietro Barbiero, Mateo Espinosa Zarlenga, Roberto Pellungrini, Gabriele Dominici, Fosca Giannotti, Davide Bacciu (2025). Deferring Concept Bottleneck Models: Learning to Defer Interventions to Inaccurate Experts. CoRR.
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Konstantinos Kitsios, Francesco Sovrano, Earl T. Barr, Alberto Bacchelli (2025). Detecting Semantic Clones of Unseen Functionality. 40th IEEE/ACM International Conference on Automated Software Engineering, ASE 2025, Seoul, Korea, Republic of, November 16-20, 2025.
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Konstantinos Kitsios, Francesco Sovrano, Earl T. Barr, Alberto Bacchelli (2025). Detecting Semantic Clones of Unseen Functionality. CoRR.
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Francesco Sovrano, Monica Palmirani, Salvatore Sapienza, Vittoria Pistone (2025). DiscoLQA: zero-shot discourse-based legal question answering on European Legislation. Artif. Intell. Law.
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Yueqing Xuan, Kacper Sokol, Mark Sanderson, Jeffrey Chan (2025). Diverse Negative Sampling for Implicit Collaborative Filtering. CoRR.
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Yueqing Xuan, Kacper Sokol, Mark Sanderson, Jeffrey Chan (2025). Evaluating and Addressing Fairness Across User Groups in Negative Sampling for Recommender Systems. Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025.
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Mandani Ntekouli, Francesco Bombassei De Bona, Martin Gjoreski, Gerasimos Spanakis (2025). Evaluating the Quality of Counterfactual Explanations in Multivariate Time-Series. 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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Alessandra Stramiglio, Andrea Schimmenti, Valentina Pasqual, Marieke van Erp, Francesco Sovrano, Fabio Vitali (2025). Explicit vs. Implicit Biographies: Evaluating and Adapting LLM Information Extraction on Wikidata-Derived Texts. CoRR.
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Leonardo Alchieri, Lino Candian, Nouran Abdalazim, Lidia Alecci, Giovanni de Felice, Silvia Santini (2025). Exploring Generalist Foundation Models for Time Series of Electrodermal Activity Data. 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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Dario Fenoglio, Mohan Li, Pietro Barbiero, Nicholas D. Lane, Marc Langheinrich, Martin Gjoreski (2025). FLUX: Efficient Descriptor-Driven Clustered Federated Learning under Arbitrary Distribution Shifts. CoRR.
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