Publications

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

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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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Martin Gjoreski, Matías Laporte, Marc Langheinrich, Tim Miller (2024). How to Validate XAI in Longitudinal Studies?. 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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David Debot, Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra (2024). Interpretable Concept-Based Memory Reasoning. 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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David Debot, Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra (2024). Interpretable Concept-Based Memory Reasoning. CoRR.
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Kacper Sokol, Peter A. Flach (2024). Interpretable representations in explainable AI: from theory to practice. Data Min. Knowl. Discov..
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Simon Böhi, Shkurta Gashi (2024). Large Language Models for Wearable Data Analysis and Interpretation. The Second Tiny Papers Track at ICLR 2024, Tiny Papers @ ICLR 2024, Vienna, Austria, May 11, 2024.
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Leonardo Alchieri, Nouran Abdalazim, Lidia Alecci, Shkurta Gashi, Martin Gjoreski, Silvia Santini (2024). Lateralization Effects in Electrodermal Activity Data Collected Using Wearable Devices. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..
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Andreas Züfle, Flora D. Salim, Taylor Anderson, Matthew Scotch, Li Xiong, Kacper Sokol, Hao Xue, Ruochen Kong, David J. Heslop, Hye-Young Paik, C. Raina MacIntyre (2024). Leveraging Simulation Data to Understand Bias in Predictive Models of Infectious Disease Spread. ACM Trans. Spatial Algorithms Syst..
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Shkurta Gashi, Pietro Oldrati, Max Möbus, Marc Hilty, Liliana Barrios, Firat Ozdemir, Veronika Kana, Andreas Lutterotti, Gunnar Rätsch, Christian Holz (2024). Modeling multiple sclerosis using mobile and wearable sensor data. npj Digit. Medicine.
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Alvise Dei Rossi, Davide Marzorati, Radoslava Svihrová, Michal Bechny, Silvia Santini, Francesca Faraci (2024). Modeling Perceived Sleep Quality Through Objective and Subjective Data. 12th International Conference on Affective Computing and Intelligent Interaction, ACII 2024 - Workshops and Demos, Glasgow, United Kingdom, September 15, 2024.
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Dario Fenoglio, Mohan Li, Davide Casnici, Matías Laporte, Shkurta Gashi, Silvia Santini, Martin Gjoreski, Marc Langheinrich (2024). Multi-Frequency Federated Learning for Human Activity Recognition Using Head-Worn Sensors. International Conference on Intelligent Environments, IE 2024, Ljubljana, Slovenia, June 17-20, 2024.
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Daniil E. Kirilenko, Vitaliy Vorobyov, Alexey K. Kovalev, Aleksandr Panov (2024). Object-Centric Learning with Slot Mixture Module. The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024.
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Yueqing Xuan, Kacper Sokol, Mark Sanderson, Jeffrey Chan (2024). Perfect Counterfactuals in Imperfect Worlds: Modelling Noisy Implementation of Actions in Sequential Algorithmic Recourse. CoRR.
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Jose Maria Alonso-Moral, Zach Anthis, Rafael Berlanga, Alejandro Catalá, Philipp Cimiano, Peter A. Flach, Eyke Hüllermeier, Tim Miller, Oana Mitrut, Dimitry Mindlin, Gabriela Moise, Alin Moldoveanu, Florica Moldoveanu, Kacper Sokol, Aitor Soroa (2024). Proceedings of the First Multimodal, Affective and Interactive eXplainable AI Workshop (MAI-XAI24 2024) co-located with 27th European Conference On Artificial Intelligence 19-24 October 2024 (ECAI 2024), Santiago de Compostela, Spain, October 19, 2024. CEUR-WS.org.
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Gabriele Ciravegna, Mateo Espinosa Zarlenga, Pietro Barbiero, Zohreh Shams, Francesco Giannini, Damien Garreau, Mateja Jamnik, Tania Cerquitelli (2024). 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. CEUR-WS.org.
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Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra (2024). Relational Concept Bottleneck Models. 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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Janosch Jungo, Yutong Xiang, Shkurta Gashi, Christian Holz (2024). Representation Learning for Wearable-Based Applications in the Case of Missing Data. CoRR.
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Francesco De Santis, Philippe Bich, Gabriele Ciravegna, Pietro Barbiero, Danilo Giordano, Tania Cerquitelli (2024). Self-supervised Interpretable Concept-based Models for Text Classification. CoRR.
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Tamas Visy, Rita Kuznetsova, Christian Holz, Shkurta Gashi (2024). Systematic Evaluation of Self-Supervised Learning Approaches for Wearable-Based Fatigue Recognition. Conference on Health, Inference, and Learning, New York, NY, USA, 27-28 June 2024.
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