A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update F Lotte, L Bougrain, A Cichocki, M Clerc, M Congedo, A Rakotomamonjy, ... Journal of neural engineering 15 (3), 031005, 2018 | 1984 | 2018 |
Brain-computer interfaces 1 M Clerc, L Bougrain, F Lotte Wiley-ISTE, 2016 | 151* | 2016 |
Electroencephalography (EEG)-based brain-computer interfaces F Lotte, L Bougrain, M Clerc Wiley encyclopedia of electrical and electronics engineering, 44, 2015 | 144 | 2015 |
Decoding finger flexion from band-specific ECoG signals in humans N Liang, L Bougrain Frontiers in neuroscience 6, 91, 2012 | 92 | 2012 |
Brain-computer interfaces 2: technology and applications M Clerc, L Bougrain, F Lotte John Wiley & Sons, 2016 | 57 | 2016 |
Finally, what is the best filter for P300 detection? L Bougrain, C Saavedra, R Ranta TOBI Workshop lll-Tools for Brain-Computer Interaction-2012, 2012 | 52 | 2012 |
Can a subjective questionnaire be used as brain-computer interface performance predictor? S Rimbert, N Gayraud, L Bougrain, M Clerc, S Fleck Frontiers in human neuroscience 12, 529, 2019 | 51 | 2019 |
An open-access P300 speller database C Ledesma-Ramirez, E Bojorges-Valdez, O Yáñez-Suarez, C Saavedra, ... Fourth International Brain-Computer Interface Meeting, 2010 | 50 | 2010 |
Self-organizing map initialization M Attik, L Bougrain, F Alexandre International Conference on Artificial Neural Networks, 357-362, 2005 | 48 | 2005 |
Deep learning techniques to improve intraoperative awareness detection from electroencephalographic signals O Avilov, S Rimbert, A Popov, L Bougrain 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 46 | 2020 |
Wiley Encyclopedia of Electrical and Electronics Engineering F Lotte, L Bougrain, M Clerc Wiley, 2015 | 39 | 2015 |
Knowledge recovery for continental-scale mineral exploration by neural networks L Bougrain, M Gonzalez, V Bouchot, D Cassard, ALW Lips, F Alexandre, ... Natural Resources Research 12, 173-181, 2003 | 38 | 2003 |
Median nerve stimulation based BCI: a new approach to detect intraoperative awareness during general anesthesia S Rimbert, P Riff, N Gayraud, D Schmartz, L Bougrain Frontiers in Neuroscience 13, 622, 2019 | 34 | 2019 |
Averaging techniques for single-trial analysis of oddball event-related potentials N Liang, L Bougrain 4th International Brain-Computer Interface workshop, 2008 | 34 | 2008 |
Automatic classification of sleep stages on a EEG signal by artificial neural networks N Kerkeni, F Alexandre, MH Bedoui, L Bougrain, M Dogui 5th WSEAS International Conference on SIGNAL, SPEECH and IMAGE PROCESSING …, 2005 | 27 | 2005 |
A multi-label classification method for detection of combined motor imageries C Lindig-Leon, L Bougrain 2015 IEEE International Conference on Systems, Man, and Cybernetics, 3128-3133, 2015 | 26 | 2015 |
Neural network topology optimization M Attik, L Bougrain, F Alexandre International Conference on Artificial Neural Networks, 53-58, 2005 | 26 | 2005 |
Electroencephalographic modulations during an open-or closed-eyes motor task S Rimbert, R Al-Chwa, M Zaepffel, L Bougrain PeerJ 6, e4492, 2018 | 23 | 2018 |
Band-specific features improve finger flexion prediction from ECoG L Bougrain, N Liang Jornadas Argentinas Sobre Interfaces Cerebro Computadora-JAICC 2009, 2009 | 21 | 2009 |
Optimizing motor intention detection with deep learning: towards management of intraoperative awareness O Avilov, S Rimbert, A Popov, L Bougrain IEEE Transactions on Biomedical Engineering 68 (10), 3087-3097, 2021 | 18 | 2021 |