Publications

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

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Nouran Abdalazim, Leonardo Alchieri, Lidia Alecci, Silvia Santini (2023). BiHeartS: Bilateral Heart Rate from multiple devices and body positions for Sleep measurement Dataset. CoRR.
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Oguzhan Keskin, Alisia Maria Lupidi, Stefano Fioravanti, Lucie Charlotte Magister, Pietro Barbiero, Pietro Lio, Francesco Giannini (2023). Bridging Equational Properties and Patterns on Graphs: an AI-Based Approach. Topological, Algebraic and Geometric Learning Workshops 2023, 28 July 2023, Honolulu, HI, USA.
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Yueqing Xuan, Edward Small, Kacper Sokol, Danula Hettiachchi, Mark Sanderson (2023). Can Users Correctly Interpret Machine Learning Explanations and Simultaneously Identify Their Limitations?. CoRR.
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Pietro Barbiero, Stefano Fioravanti, Francesco Giannini, Alberto Tonda, Pietro Liò, Elena Di Lavore (2023). Categorical Foundations of Explainable AI: A Unifying Formalism of Structures and Semantics. CoRR.
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Lucie Charlotte Magister, Pietro Barbiero, Dmitry Kazhdan, Federico Siciliano, Gabriele Ciravegna, Fabrizio Silvestri, Mateja Jamnik, Pietro Liò (2023). Concept Distillation in Graph Neural Networks. Explainable Artificial Intelligence - First World Conference, xAI 2023, Lisbon, Portugal, July 26-28, 2023, Proceedings, Part III.
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Edward A. Small, Jeffrey N. Clark, Christopher J. McWilliams, Kacper Sokol, Jeffrey Chan, Flora D. Salim, Raúl Santos-Rodríguez (2023). Counterfactual Explanations via Locally-guided Sequential Algorithmic Recourse. CoRR.
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Massimo Salvi, Claudia Manini, Jose I. López, Dario Fenoglio, Filippo Molinari (2023). Deep learning approach for accurate prostate cancer identification and stratification using combined immunostaining of cytokeratin, p63, and racemase. Comput. Medical Imaging Graph..
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Alessandro Farace di Villaforesta, Lucie Charlotte Magister, Pietro Barbiero, Pietro Liò (2023). Digital Histopathology with Graph Neural Networks: Concepts and Explanations for Clinicians. CoRR.
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Lidia Alecci, Leonardo Alchieri, Nouran Abdalazim, Pietro Barbiero, Silvia Santini, Martin Gjoreski (2023). Enhancing XGBoost with Heuristic Smoothing for Transportation Mode and Activity Recognition. Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, Cancun, Quintana Roo, Mexico, October 8-12, 2023.
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Edward A. Small, Kacper Sokol, Daniel Manning, Flora D. Salim, Jeffrey Chan (2023). Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness. CoRR.
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Jonas Jürß, Lucie Charlotte Magister, Pietro Barbiero, Pietro Liò, Nikola Simidjievski (2023). Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts. CoRR.
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Francesco Prinzi, Gennaro Raimo, Pietro Barbiero, Gennaro Cordasco, Pietro Liò, Salvatore Vitabile, Anna Esposito (2023). Explainable Depression Detection Using Handwriting Features. Advanced Neural Artificial Intelligence: Theories and Applications, selected papers presented at the International Workshops on Neural Network (WIRN 2023), Vietri sul Mare, Italy.
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Riccardo Corrias, Martin Gjoreski, Marc Langheinrich (2023). Exploring Transformer and Graph Convolutional Networks for Human Mobility Modeling. Sensors.
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Dario Fenoglio, Daniel Josifovski, Alessandro Gobbetti, Mattias Formo, Hristijan Gjoreski, Martin Gjoreski, Marc Langheinrich (2023). Federated Learning for Privacy-aware Cognitive Workload Estimation. Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia, MUM 2023, Vienna, Austria, December 3-6, 2023.
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Donato Crisostomi, Irene Cannistraci, Luca Moschella, Pietro Barbiero, Marco Ciccone, Pietro Liò, Emanuele Rodolà (2023). From charts to atlas: Merging latent spaces into one. NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 16 December 2023, New Orleans, Lousiana, USA.
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Donato Crisostomi, Irene Cannistraci, Luca Moschella, Pietro Barbiero, Marco Ciccone, Pietro Liò, Emanuele Rodolà (2023). From Charts to Atlas: Merging Latent Spaces into One. CoRR.
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Ivan Fontana, Marc Langheinrich, Martin Gjoreski (2023). GANs for Privacy-Aware Mobility Modeling. IEEE Access.
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Dmitry Kazhdan, Botty Dimanov, Lucie Charlotte Magister, Pietro Barbiero, Mateja Jamnik, Pietro Liò (2023). GCI: A (G)raph (C)oncept (I)nterpretation Framework. CoRR.
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Han Xuanyuan, Pietro Barbiero, Dobrik Georgiev, Lucie Charlotte Magister, Pietro Liò (2023). Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis. Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023.
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Steve Azzolin, Antonio Longa, Pietro Barbiero, Pietro Liò, Andrea Passerini (2023). Global Explainability of GNNs via Logic Combination of Learned Concepts. The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023.
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Edward Small, Yueqing Xuan, Danula Hettiachchi, Kacper Sokol (2023). Helpful, Misleading or Confusing: How Humans Perceive Fundamental Building Blocks of Artificial Intelligence Explanations. CoRR.
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Francesco Giannini, Stefano Fioravanti, Oguzhan Keskin, Alisia Maria Lupidi, Lucie Charlotte Magister, Pietro Lió, Pietro Barbiero (2023). Interpretable Graph Networks Formulate Universal Algebra Conjectures. Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023.
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Francesco Giannini, Stefano Fioravanti, Oguzhan Keskin, Alisia Maria Lupidi, Lucie Charlotte Magister, Pietro Lio, Pietro Barbiero (2023). Interpretable Graph Networks Formulate Universal Algebra Conjectures. CoRR.
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Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio, Frédéric Precioso, Mateja Jamnik, Giuseppe Marra (2023). Interpretable Neural-Symbolic Concept Reasoning. International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA.
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Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Liò, Frédéric Precioso, Mateja Jamnik, Giuseppe Marra (2023). Interpretable Neural-Symbolic Concept Reasoning. Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, La Certosa di Pontignano, Siena, Italy, July 3-5, 2023.
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