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Towards Robust Neuroadaptive HCI: Exploring Modern Machine Learning Methods to Estimate Mental Workload From EEG Signals

Aurélien Appriou , Andrzej Cichocki , Fabien Lotte
ACM CHI Conference on Human Factors in Computing Systems - Extended Abstracts (Late Breaking Work), Apr 2018, Montreal, Canada. ⟨10.1145/3170427.3188617⟩
Conference papers hal-01849055v1
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Classification of attention types in EEG signals

Léa Pillette , Aurélien Appriou , Andrzej Cichocki , Bernard N'Kaoua , Fabien Lotte et al.
7th International BCI Meeting, May 2018, Asilomar, United States
Poster communications hal-01762946v1
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Inria Research & Development for the Cybathlon BCI series

Fabien Lotte , Maureen Clerc , Aurélien Appriou , Amandine Audino , Camille Benaroch et al.
8th Graz Brain-Computer Interface Conference 2019, Sep 2019, Graz, Austria. 2019
Poster communications hal-02433970v1

Towards understanding the impact of mental task execution on user's state, experience and performances

Léna Kolodzienski , Aline Roc , Aurélien Appriou , Fabien Lotte
Preprints, Working Papers, ... hal-03065384v1
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Towards measuring states of epistemic curiosity through electroencephalographic signals

Aurélien Appriou , Jessy Ceha , Smeety Pramij , Dan Dutartre , Edith Law et al.
IEEE SMC 2020 - IEEE International conference on Systems, Man and Cybernetics, Oct 2020, Toronto / Virtual, Canada
Conference papers hal-02971795v1