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Aurélien Appriou
Aurélien Appriou
PhD Student, Inria
Verified email at inria.fr - Homepage
Title
Cited by
Cited by
Year
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
852020
Classifying EEG signals during stereoscopic visualization to estimate visual comfort
J Frey, A Appriou, F Lotte, M Hachet
Computational intelligence and neuroscience 2016, 7-7, 2016
512016
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
362018
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
342021
Natural language understanding and communication for multi-agent systems
S Trott, A Appriou, J Feldman, A Janin
2015 AAAI Fall Symposium Series, 2015
142015
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
102021
Estimating visual comfort in stereoscopic displays using electroencephalography: A proof-of-concept
J Frey, A Appriou, F Lotte, M Hachet
Human-Computer Interaction–INTERACT 2015: 15th IFIP TC 13 International …, 2015
82015
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
72020
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
52020
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
32019
Classification of attention types in EEG signals
L Pillette, A Appriou, A Cichocki, B N'Kaoua, F Lotte
7th International BCI Meeting, 2018
32018
Tools for affective, cognitive and conative states estimation from both EEG and physiological signals
A Appriou, F Lotte
Neuroergonomics Conference (NEC), 2021
12021
Estimating learning-related mental states through brain and physiological signals.
A Appriou
Université de Bordeaux, 2020
12020
Towards measuring states of curiosity through electroencephalography and body sensors responses
A Appriou, J Ceha, E Law, PY Oudeyer, F Lotte
Journées CORTICO, 2019
12019
Riemannian ElectroCardioGraphic signal classification
A Appriou, F Lotte
Latin-American Workshop on Computational Neuroscience (LAWCN 2023), 2023
2023
Exploring the evolution of users' subjective ratings in three Motor Imagery (MI)-based BCI sessions
A Roc, L Kolodzienski, A Appriou, T Monseigne, P Dreyer, F Lotte
CORTICO 2022: Invasive and non invasive Brain-Computer Interfaces–A …, 2022
2022
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-Réalités industrielles, 16-22, 2021
2021
Towards understanding the impact of mental task execution on user's state, experience and performances
L Kolodzienski, A Roc, A Appriou, F Lotte
2021
Aline Roc
F Lotte, L Pillette, A Appriou
Léa, 2021
2021
Évaluation des états mentaux liés à l'apprentissage à partir de signaux cérébraux et physiologiques
A Appriou
2020
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