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Références bibliographiques
114
Dépôts avec texte intégral
390
Twitter @LisnLab
LAst publications
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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 - 32nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Oct 2024, Bruges, Belgium. pp.571-576, ⟨10.14428/esann/2024.ES2024-112⟩. ⟨hal-04720928⟩
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Gustavo H Rodrigues, Bruno Aristimunha, Sylvain Chevallier, Raphael Y de Camargo. Combining Euclidean Alignment and Data Augmentation for BCI decoding. EUSIPCO 2024 - 32nd European Signal Processing Conference, European Signal Processing Conference (EUSIPCO), Aug 2024, Lyon, France. ⟨10.48550/arXiv.2405.14994⟩. ⟨hal-04743791⟩
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Nicolas Atienza, Roman Bresson, Cyriaque Rousselot, Philippe Caillou, Johanne Cohen, et al.. Cutting the Black Box: Conceptual Interpretation of a Deep Neural Net with Multi-Modal Embeddings and Multi-Criteria Decision Aid. IJCAI-24 - Thirty-Third International Joint Conference on Artificial Intelligence, Aug 2024, Jeju, South Korea. pp.3669-3678, ⟨10.24963/ijcai.2024/406⟩. ⟨hal-04728875⟩
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Audrey Poinsot, Alessandro Leite, Nicolas Chesneau, Michele Sebag, Marc Schoenauer. Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges. IJCAI 2024 - Thirty-Third International Joint Conference on Artificial Intelligence, Aug 2024, Jeju, South Korea. pp.8207-8215, ⟨10.24963/ijcai.2024/907⟩. ⟨hal-04706985⟩