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Dernières publications
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Théo Gigant, Camille Guinaudeau, Marc Decombas, Frédéric Dufaux. Mitigating the Impact of Reference Quality on Evaluation of Summarization Systems with Reference-Free Metrics. The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), Nov 2024, Miami (FL), United States. ⟨hal-04720645⟩
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Claudia Krogmeier, Emma Tison, Justin Dillmann, Arnaud Prouzeau, Antoinette Prouteau, et al.. Leveraging Augmented Reality for Understanding Schizophrenia -Design and Evaluation of a Dedicated Educational Tool. ISMAR 2024 - IEEE International Symposium on Mixed and Augmented Reality, Oct 2024, Seattle, United States. ⟨hal-04699693⟩
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Lu Ying, Yingcai Wu, Jean-Daniel Fekete. Exploring the Reproducibility for Visualization Figures in Climate Change Report. IEEE VIS 2024 Workshop on Visualization for Climate Action and Sustainability, Benjamin Bach; Fanny Chevalier; Helen-Nicole Kostis; Mark SubbaRao; Yvonne Jansen; Robert Soden, Oct 2024, Virtual, United States. ⟨hal-04744236⟩
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Katerina Batziakoudi, Florent Cabric, Stéphanie Rey, Jean-Daniel Fekete. Designing Visualizations for Enhancing Carbon Numeracy. IEEE VIS 2024 Workshop on Visualization for Climate Action and Sustainability, Benjamin Bach; Fanny Chevalier; Helen-Nicole Kostis; Mark SubbaRao; Yvonne Jansen; Robert Soden, Oct 2024, Virtual, United States. ⟨hal-04744209⟩
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Fairouz Grioui, Tanja Blascheck, Lijie Yao, Petra Isenberg. Micro Visualizations on a Smartwatch: Assessing Reading Performance While Walking. IEEE VIS 2024 - IEEE Conference on Visualization & Visual Analytics, IEEE, Oct 2024, St. Pete Beach (Florida), United States. ⟨10.48550/arXiv.2407.17893⟩. ⟨hal-04700821⟩
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Ahmed Elshabasi, Lijie Yao, Petra Isenberg, Charles Perin, Wesley Willett. Collecting Information Needs for Egocentric Visualizations while Running. First-Person Visualizations for Outdoor Physical Activities Workshop held as part of IEEE VIS 2024, Oct 2024, St. Pete Beach (Florida), United States. ⟨10.48550/arXiv.2409.06426⟩. ⟨hal-04700822⟩
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Sébastien Velut, Sylvain Chevallier, Marie-Constance Corsi, Frédéric Dehais. Deep Riemannian Neural Architectures for Domain Adaptation in Burst cVEP-based Brain Computer Interface. ESANN 2024, Oct 2024, Bruges (Belgium) and online, France. pp.571-576, ⟨10.14428/esann/2024.ES2024-112⟩. ⟨hal-04720928⟩