Aurélien Appriou
Aurélien Appriou
PhD Student, Inria
Verified email at - Homepage
Cited by
Cited by
Modern machine-learning algorithms: for classifying cognitive and affective states from electroencephalography signals
A Appriou, A Cichocki, F Lotte
IEEE Systems, Man, and Cybernetics Magazine 6 (3), 29-38, 2020
Classifying EEG signals during stereoscopic visualization to estimate visual comfort
J Frey, A Appriou, F Lotte, M Hachet
Computational intelligence and neuroscience 2016, 2016
Towards robust neuroadaptive HCI: exploring modern machine learning methods to estimate mental workload from EEG signals
A Appriou, A Cichocki, F Lotte
Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing …, 2018
Estimating visual comfort in stereoscopic displays using electroencephalography: A proof-of-concept
J Frey, A Appriou, F Lotte, M Hachet
IFIP Conference on Human-Computer Interaction, 354-362, 2015
Natural language understanding and communication for multi-agent systems
S Trott, A Appriou, J Feldman, A Janin
2015 AAAI Fall Symposium Series, 2015
Long-term BCI training of a tetraplegic user: Adaptive Riemannian classifiers and user training
C Benaroch, K Sadatnejad, A Roc, A Appriou, T Monseigne, S Pramij, ...
Frontiers in Human Neuroscience 15, 635653, 2021
Channel selection over riemannian manifold with non-stationarity consideration for brain-computer interface applications
K Sadatnejad, A Roc, L Pillette, T Monseigne, F Lotte
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
BioPyC, an open-source Python toolbox for offline electroencephalographic and physiological signals classification
A Appriou, L Pillette, D Trocellier, D Dutartre, A Cichocki, F Lotte
Sensors 21 (17), 5740, 2021
Towards measuring states of epistemic curiosity through electroencephalographic signals
A Appriou, J Ceha, S Pramij, D Dutartre, E Law, PY Oudeyer, F Lotte
2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020
Inria research & development for the Cybathlon BCI series
F Lotte, M Clerc, A Appriou, A Audino, C Benaroch, P Giacalone, C Jeunet, ...
8th Graz Brain-Computer Interface Conference 2019, 2019
Classification of attention types in EEG signals
L Pillette, A Appriou, A Cichocki, B N'Kaoua, F Lotte
7th International BCI Meeting, 2018
Tools for affective, cognitive and conative states estimation from both EEG and physiological signals
A Appriou, F Lotte
Neuroergonomics Conference (NEC), 2021
Towards understanding the impact of mental task execution on user's state, experience and performances
L Kolodzienski, A Roc, A Appriou, F Lotte
Aline Roc
F Lotte, L Pillette, A Appriou
Léa, 2021
Apprendre à contrôler une interface cerveau-ordinateur: le projet BrainConquest
F Lotte, A Appriou, C Benaroch, P Dreyer, A Er, T Monseigne, L Pillette, ...
Annales des Mines-Realites industrielles, 16-22, 2021
Towards Measuring states of curiosity through Electroencephalography and body sensors responses
A Appriou, J Ceha, E Law, PY Oudeyer, F Lotte
Journées CORTICO, 2019
BCPy, an open-source python platform for offline EEG signals decoding and analysis
A Appriou, L Pillette, A Cichocki, F Lotte
Interntional BCI Meeting, 2018
Analysis and classification of learning-related mental states in EEG signals
A Appriou, F Lotte
Journée des Jeunes Chercheurs en Interfaces Cerveau-Ordinateur et …, 2018
Episciences. org
F Lotte, A Appriou, C Benaroch, P Dreyer, A Er
Evolution 11, 723, 0
2020 Index IEEE Systems, Man, and Cybernetics Magazine Vol. 6
S Anastasova, A Appriou
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