Stanislas Chambon

Towards A Deep Learning-based Joint Detection Model For Nocturnal Polysomnogram Events

Poul Jennum, Alexander Neergaard Olesen, Jakob Thybo, 2019 .

A Deep Learning Architecture to Detect Events in EEG Signals During Sleep

Stanislas Chambon, Valentin Thorey, Emmanuel Mignot, 2018, 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP).

Towards a Flexible Deep Learning Method for Automatic Detection of Clinically Relevant Multi-Modal Events in the Polysomnogram

Alexander Neergaard Olesen, Stanislas Chambon, Valentin Thorey, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Domain adaptation with optimal transport improves EEG sleep stage classifiers

Stanislas Chambon, Alexandre Gramfort, Mathieu N. Galtier, 2018, 2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI).

DOSED: A deep learning approach to detect multiple sleep micro-events in EEG signal

Stanislas Chambon, Valentin Thorey, Emmanuel Mignot, 2018, Journal of Neuroscience Methods.

A Deep Learning Architecture for Temporal Sleep Stage Classification Using Multivariate and Multimodal Time Series

Stanislas Chambon, Gilles Wainrib, Alexandre Gramfort, 2017, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Auditory closed-loop stimulation to enhance sleep quality

Stanislas Chambon, Valentin Thorey, Mathieu Galtier, 2017 .

POT: Python Optimal Transport

Nicolas Courty, Ievgen Redko, Stanislas Chambon, 2021, J. Mach. Learn. Res..