1. A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series S. Chambon, M. N. Galtier, P. J. Arnal, G. Wainrib and A. Gramfort. IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 26, no. 4, pp. 758-769, April 2018.

    [paper] [prepring] [code available soon]

  2. Domain adaptation with optimal transport improves EEG sleep stage classifiers S. Chambon, M. N. Galtier and A. Gramfort. Pattern Recognition in Neuroimaging (PRNI) 2018.

    [paper] [preprint]

  3. A Deep Learning Architecture To Detect Events In EEG Signals During Sleep S. Chambon, V. Thorey, P. J. Arnal, E. Mignot and A. Gramfort. To appear in proc IEEE International Workshop on Machine Learning for Signal Processing 2018