{"id":66,"date":"2023-05-03T15:48:37","date_gmt":"2023-05-03T13:48:37","guid":{"rendered":"https:\/\/project.inria.fr\/proteus\/?page_id=66"},"modified":"2026-03-23T16:56:36","modified_gmt":"2026-03-23T15:56:36","slug":"results","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/proteus\/results\/","title":{"rendered":"Results"},"content":{"rendered":"

Publications in international journals<\/h2>\n\n\n\n
    \n
  1. Peitro Cimarosto, Sebastien Velut, Kalou Cabrera Castillos, Juan Jesus Torre-Tresols, Rapha\u00eblle N. Roy, and Frederic Dehais. “Near-invisible c-VEP-based passive BCI for mental workload monitoring.<\/em>” Journal of Neural Engineering, 2026 – pdf<\/a><\/li>\n\n\n\n
  2. Aline Roc, L\u00e9na Kolodzienski, Pauline Dreyer, Aur\u00e9lien Appriou, Thibaut Monseigne, Fabien Lotte, Evolution of users\u2019 subjective experience over three training sessions with an EEG Motor-Imagery Brain\u2013Computer Interface (MI-BCI)<\/em>, Brain Research, 2026 – pdf<\/a><\/li>\n\n\n\n
  3. Thibault de Surrel, Sylvain Chevallier, Fabien Lotte, Florian Yger. Geometry-Aware visualization of high dimensional Symmetric Positive Definite matrices<\/em>. Transactions on Machine Learning Research Journal, 2025 – pdf<\/a><\/li>\n\n\n\n
  4. David E Carlson, Ricardo Chavarriaga, Yiling Liu, Fabien Lotte, Bao-Liang Lu. The NERVE-ML (neural engineering reproducibility and validity essentials for machine learning) checklist: ensuring machine learning advances neural engineering<\/em>. Journal of Neural Engineering, 2025, 22 (2), pp.021002 – pdf<\/a><\/li>\n<\/ol>\n\n\n\n

    Publications in international book chapters<\/h2>\n\n\n\n
      \n
    1. Fran\u00e7ois Cabestaing, Sylvain Chevallier. From signals to decisions in noninvasive neural technologies<\/em>. Davide Valeriani; Theresa M. Vaughan. Neural Interfaces, Academic Press; Elsevier, pp.77-90, 2025 –pdf<\/a><\/li>\n\n\n\n
    2. Fabien Lotte, Pauline Dreyer, S\u00e9bastien Rimbert, David Trocellier, Marc Welter. How to build a brain\u2013computer interface from beginning to end<\/em>. Neural Interfaces, Elsevier, pp.115-141, 2025 – pdf<\/a><\/li>\n<\/ol>\n\n\n\n

      Publications in international conference<\/h2>\n\n\n\n
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      1. Thibault de Surrel, Florian Yger, Fabien Lotte, Sylvain Chevallier. A probabilistic view on Riemannian machine learning models for SPD matrices<\/em>. GSI 2025 – 7th International Conference on Geometric Science of Information, Oct 2025, Saint Malo, France. pdf<\/a><\/li>\n\n\n\n
      2. Thibault de Surrel, Tristan Venot, Marie-Constance Corsi, Florian Yger. Interpretability of Riemannian tools used in brain computer interfaces<\/em>. MLSP 2025 – 35th IEEE International Workshop on Machine Learning for Signal Processing, Aug 2025, Istanbul, Turkey – pdf<\/a><\/li>\n\n\n\n
      3. Thibault de Surrel, Fabien Lotte, Sylvain Chevallier, Florian Yger. Wrapped Gaussian on the manifold of Symmetric Positive Definite Matrices<\/em>. ICML 2025 – 42nd International Conference on Machine Learning, Jul 2025, Vancouver, Canada. – pdf<\/a> <\/li>\n\n\n\n
      4. Pauline Dreyer, Rapha\u00eblle N Roy, Fabien Lotte. Building a taxonomy of variability factors in active BCI<\/em>. BCI 2025 – 11th International BCI Meeting Building Momentum: Fostering Collaboration in BCI, Jun 2025, Banff, Canada – pdf<\/a><\/li>\n\n\n\n
      5. David Trocellier, Bernard N’Kaoua, Fabien Lotte. BCI classifiers integrating measures of variability factors: a mini-review<\/em>. NeuroAdaptive Technology Conference 2025 (NAT’25), Apr 2025, Berlin, Germany – pdf<\/a><\/li>\n\n\n\n
      6. S\u00e9bastien Velut, Sylvain Chevallier, Marie-Constance Corsi, Fr\u00e9d\u00e9ric Dehais. “Deep Riemannian Neural Architectures for Domain Adaptation in Burst cVEP-based Brain Computer Interface<\/em>“. ESANN 2024 – European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Oct 2024, Bruges (Belgium). pp.571-576, \u27e810.14428\/esann\/2024.ES2024-112\u27e9 – pdf<\/a><\/li>\n\n\n\n
      7. Jaime Riascos, Marta Molinas, Fabien Lotte. “Machine Learning Methods for BCI: challenges, pitfalls and promises”<\/em>. ESANN 2024 – European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Oct 2024, Bruges, Belgium. – pdf<\/a><\/li>\n\n\n\n
      8. Pauline Dreyer, Aline Roc, David Trocellier, Marc Welter, Rapha\u00eblle N Roy, Fabien Lotte, “Exploring EOG markers of fatigue during motor imagery BCI use<\/em>“. INE – 9th Graz BCI Conference 2024, Sep 2024, Graz, Austria – pdf<\/a><\/li>\n\n\n\n
      9. Thibault de Surrel, Sylvain Chevallier, Fabien Lotte, Florian Yger. “Averaging trajectories on the manifold of symmetric positive definite matrices”<\/em>. EUSIPCO 2024 – 32nd European Signal Processing Conference, Aug 2024, Lyon, France – pdf<\/a><\/li>\n\n\n\n
      10. David Trocellier, Bernard N’Kaoua, Fabien Lotte, “Visual cues can bias EEG Deep Learning models<\/em>“. In Neuroergonomics 2024-The 5th International Conference, Bordeaux, France, 2024 – pdf<\/a><\/li>\n<\/ol>\n\n\n\n

        Scientific outreach<\/h2>\n\n\n\n
          \n
        1. Florian Yger, “IA et cerveau : connexion en cours…<\/em>“, Festival Pint of Science 2025, “IA et sant\u00e9 : comprendre le corps et lire l’esprit<\/a>“<\/li>\n\n\n\n
        2. Thibault de Surrel, Ma th\u00e8se en 180 secondes – finale PSL \u00e9dition 2025<\/a><\/li>\n<\/ol>","protected":false},"excerpt":{"rendered":"

          Publications in international journals Publications in international book chapters Publications in international conference Scientific outreach<\/p>\n

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