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The Interaction and Collective Intelligence department develops interdisciplinary research activities centered on the concept of interaction: human-machine interaction and multi-agent interaction. The activities of the Interaction and Collective Intelligence department are mainly in the field of ambient computer systems (smart city, health and autonomy).
For more information, consult the Interaction and Collective Intelligence department presentation on the IRIT website.
Latest full text publications
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Juan J Cuenca, Emanuel Aldea, Eloann Le Guern-Dall'o, Raphaël Féraud, Guy Camilleri, et al.. Training Data Generation Strategies for Data-driven Security Assessment of Low Voltage Smart Grids. IEEE Innovative Smart Grid Technologies EUROPE (ISGT-EU) 2024, Oct 2024, Dubrovnik, Croatia. ⟨10.1109/ISGTEUROPE62998.2024.10863199⟩. ⟨hal-04731959⟩
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Maxence Demougeot, Sylvie Trouilhet, Jean-Paul Arcangeli, Françoise Adreit. Scenario-based Automatic Testing of a Machine Learning Solution with the Human in the Loop. Second Workshop on Hybrid Human-Machine Learning and Decision Making (co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in DataBases, Sep 2024, Vilnius, Lithuania. ⟨hal-04726773⟩
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Chrysta Pélissier, Claire Peltier, Franck Silvestre, Stéphanie Fleck. Dispositifs hybrides pour l’apprentissage et l’enseignement. STICEF (Sciences et Technologies de l'Information et de la Communication pour l'Éducation et la Formation), 30 (2), 2024, ⟨10.23709/sticef.30.2enlignesurwww.sticef.orgISBN978-2-901384-08-3⟩. ⟨halshs-04646640⟩
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