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All publications

2025
Jorge Alvarado Diaz, Elia Pacioni and Francisco Fernández De Vega, Beneficios mutuos de la enseñanza-aprendizaje máquina-humano, in: XVI Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (maeb 2025, San Sebastián, Spain, 2025
Ismael Jaggi, Rachele Carli, Berk Buzcu, Michael Schumacher and Davide Calvaresi, Consent Understanding and Verification for Personalized Assistive Systems, in: Proceedings of the 17th International Conference on Agents and Artificial Intelligence: ICAART, INSTICC, Porto, Portugal, pages 694-701, SciTePress, 2025
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Elia Pacioni, Francisco Fernández De Vega and Davide Calvaresi, Towards a Meaningful Communication and Model Aggregation in Federated Learning via Genetic Programming, in: Proceedings of the 17th International Conference on Agents and Artificial Intelligence: ICAART, Porto, Portugal, pages 1427-1431, Springer, 2025
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Jakub Mlynar, M. Champendal, Lluis Borràs Ferrís, R. S. T. Ribeiro and Adrien Depeursinge, Unraveling AI imaginaries in radiomics: Beyond exoticism, mentalism, and technologism, "10th STS Italia Conference - Technoscience for Good: Designing, Caring, and Reconfiguring", 2025
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2024
Arthur Chevalley, Valentin Oreiller, Julien Fageot, John O. Prior, Vincent Andrearczyk and Adrien Depeursinge, A Bispectral 3D UNet for Rotation Robustness in Medical Segmentation, in: The First Workshop on Topology- and Graph-Informed Imaging Informatics at MICCAI, pages 43-54, Springer Nature Switzerland, 2024
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Berk Buzcu, Yvan Pannatier, Reyhan Aydoğan, Michael Schumacher, Jean-Paul Calbimonte and Davide Calvaresi, A Framework for Explainable Multi-purpose Virtual Assistants: A Nutrition-Focused Case Study, in: In post-proceedings of the 6th International Workshop on EXplainable and TRAnsparent AI and Multi-Agent Systems, pages 58-78, Springer Nature Switzerland, 2024
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Zhan Liu, Anne Darbellay, Nicole Glassey Balet and Valérie Vuille, Advancing Gender Equality in Media: Tackling Stereotypes and Biases with AI, in: 16th International Conference on Intelligent Decision Technologies, Madeira, Portugal, pages 413-424, Springer, 2024
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Sandra Grèzes and Vincent Grèzes, Analysing and Designing Circular Value Networks for Sustainable Tourism – a Case Study, Dubrovnik, Croatia, ENTerprise REsearch InNOVAtion Conference - ENTRENOVA, 2024
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Esther González-Martínez and Jakub Mlynar, Audibility and Intelligibility of Talk in Passing-By Interactions: A Methodological Puzzle (2024), in: Forum: Qualitative Sozialforschung / Forum: Qualitative Social Research, 25:3
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Anne-Dominique Salamin, David Russo and Danièle Rueger, ChatGPT, an excellent liar: How conversational agents’ hallucinations impact learning and teaching, 7th International conference on Teaching, Learning and Education Copenhague 2023, 2024
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Hamed Alavi and Jakub Mlynar, Dangers of Designing with Data, in: DIS '24 Companion: Companion Publication of the 2024 ACM Designing Interactive Systems Conference, ACM, 2024
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Berkecan Koçyiğit, Berk Buzcu, Davide Calvaresi, Zehra Kesemen, Joris Hulstijn, Igor Tchappi and Reyhan Aydoğan, Effects of Communication Channels on Explainable Food Recommendation Systems, in: In post proceedings of 8th EAI International Conference on Robotic Sensor Networks, pages 15, 2024
Vincent Grèzes, Sandra Grèzes and Marc Schnyder, Entwicklung von Kreislaufwirtschaftslösungen im Tourismus, Schmidt, Erich (Verlag), Neue Arbeitswelten und nachhaltiges Destinationsmanagement im alpinen Tourismus, Schweizer Jahrbuch für Tourismus 2023/2024, 2024
Berk Buzcu, Emre Kuru, Davide Calvaresi and Reyhan Aydoğan, Evaluation of the User-centric Explanation Strategies for Interactive Recommenders, in: Post-proceedings in the 6th International Workshop on EXplainable and TRAnsparent AI and Multi-Agent Systems, 2024
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Krešimir Kušić, Davide Calvaresi, Amy Liffey, Lora Fanda, Martin Gregurić, Edouard Ivanjko and René Schumann, Evaluation of Traffic Controller Performance via Systematic Exploration, in: Post-proceedings of the 66th International Symposium ELMAR-2024, Zadar, Croatia, pages 165 -- 168, IEEE, 2024
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Victor H. Contreras, Michael Schumacher and Davide Calvaresi, Explanation of Deep Learning Models via Logic Rules Enhanced by Embeddings Analysis, and Probabilistic Models, in: Post-proceedings of the 6th International Workshop on EXplainable and TRAnsparent AI and Multi-Agent Systems, 2024
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