Publications

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

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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. 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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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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Pietro Barbiero, Mateo Espinosa Zarlenga, Alberto Termine, Mateja Jamnik, Giuseppe Marra (2025). Foundations of Interpretable Models. CoRR.
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Raúl Santos-Rodríguez, Kacper Sokol, Julia E. Vogt, Sven Wellmann (2025). From Research to Certification with Data-Driven Medical Decision Support Systems (Dagstuhl Seminar 25052). Dagstuhl Reports.
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Swathy Satheesan Cheruvalath, Matías Laporte, Francesco Bombassei De Bona, Teena Hassan, Martin Gjoreski (2025). Generating Explanations for Models Predicting Student Exam Performance. 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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Daniil E. Kirilenko, Anton Andreychuk, Aleksandr I. Panov, Konstantin S. Yakovlev (2025). Generative models for grid-based and image-based pathfinding. Artif. Intell..
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Edward A. Small, Wei Shao, Zeliang Zhang, Peihan Liu, Jeffrey Chan, Kacper Sokol, Flora D. Salim (2025). How robust is your fair model? Exploring the robustness of prominent fairness strategies. Data Min. Knowl. Discov..
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Francesco Sovrano, Kevin D. Ashley, Peter Brusilovsky, Fabio Vitali (2025). How to Improve the Explanatory Power of an Intelligent Textbook: a Case Study in Legal Writing. Int. J. Artif. Intell. Educ..
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Nicola Debole, Pietro Barbiero, Francesco Giannini, Andrea Passerini, Stefano Teso, Emanuele Marconato (2025). If Concept Bottlenecks are the Question, are Foundation Models the Answer?. CoRR.
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David Debot, Pietro Barbiero, Gabriele Dominici, Giuseppe Marra (2025). Interpretable Hierarchical Concept Reasoning through Attention-Guided Graph Learning. CoRR.
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Rodrigo Castellano Ontiveros, Ehsan Bonabi Mobaraki, Francesco Giannini, Pietro Barbiero, Marco Gori, Michelangelo Diligenti (2025). Interpretable Link Prediction via Neural-Symbolic Reasoning. Explainable Artificial Intelligence - Third World Conference, xAI 2025, Istanbul, Turkey, July 9-11, 2025, Proceedings, Part II.
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Francesco Sovrano, Gabriele Dominici, Rita Sevastjanova, Alessandra Stramiglio, Alberto Bacchelli (2025). Is General-Purpose AI Reasoning Sensitive to Data-Induced Cognitive Biases? Dynamic Benchmarking on Typical Software Engineering Dilemmas. CoRR.
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Francesco Sovrano, Adam Bauer, Alberto Bacchelli (2025). Large Language Models for In-File Vulnerability Localization Can Be \"Lost in the End\". CoRR.
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Francesco Sovrano, Adam Bauer, Alberto Bacchelli (2025). Large Language Models for In-File Vulnerability Localization Can Be \"Lost in the End\". Proc. ACM Softw. Eng..
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Yueqing Xuan, Kacper Sokol, Mark Sanderson, Jeffrey Chan (2025). Leveraging Complementary AI Explanations to Mitigate Misunderstanding in XAI. IEEE Swiss Conference on Data Science, SDS 2025, Zürich, Switzerland, June 26-27, 2025.
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Yueqing Xuan, Kacper Sokol, Mark Sanderson, Jeffrey Chan (2025). Leveraging Complementary AI Explanations to Mitigate Misunderstanding in XAI. CoRR.
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Francesco Bombassei De Bona, Ioana Andreea Câmpanu, Marc Langheinrich, Martin Gjoreski, Georgiana Juravle (2025). LIFETRACE: A Longitudinal Multimodal Dataset on Daily Physical Activity, Well-Being, and Habits. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..
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Francesco De Santis, Philippe Bich, Gabriele Ciravegna, Pietro Barbiero, Danilo Giordano, Tania Cerquitelli (2025). Linearly-interpretable concept embedding models for text analysis. Mach. Learn..
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Stefano Fioravanti, Francesco Giannini, Paolo Frazzetto, Fabio Zanasi, Pietro Barbiero (2025). Logic Explanation of AI Classifiers by Categorical Explaining Functors. CoRR.
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Lidia Alecci (2025). Mitigating Interpersonal Variability in Machine Learning Models for Human Behavior Monitoring. 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, Davide Casnici, Matías Laporte, Shkurta Gashi, Silvia Santini, Martin Gjoreski, Marc Langheinrich (2025). Multi-Frequency Federated Learning for Human Activity Recognition Using Head-Worn Sensors. CoRR.
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