Nicolas Drougard
Nicolas Drougard
Associate Professor, ISAE-SUPAERO
Verified email at
Cited by
Cited by
Monitoring pilot’s mental workload using ERPs and spectral power with a six-dry-electrode EEG system in real flight conditions
F Dehais, A Duprčs, S Blum, N Drougard, S Scannella, RN Roy, F Lotte
Sensors 19 (6), 1324, 2019
How can physiological computing benefit human-robot interaction?
RN Roy, N Drougard, T Gateau, F Dehais, CPC Chanel
Robotics 9 (4), 100, 2020
Towards mixed-initiative human–robot interaction: Assessment of discriminative physiological and behavioral features for performance prediction
CPC Chanel, RN Roy, F Dehais, N Drougard
Sensors 20 (1), 296, 2020
One class splitting criteria for random forests
N Goix, N Drougard, R Brault, M Chiapino
Asian Conference on Machine Learning, 343-358, 2017
Qualitative Possibilistic Mixed-Observable MDPs
N Drougard, F Teichteil-Konigsbuch, JL Farges, D Dubois
UAI-13, Proceedings of the Twenty-Ninth Conference Annual Conference on …, 2013
Structured Possibilistic Planning Using Decision Diagrams
N Drougard, F Teichteil-Königsbuch, JL Farges, D Dubois
AAAI-14, Proceedings of the Twenty-Eighth AAAI Conference on Artificial …, 2014
Mixed-initiative mission planning considering human operator state estimation based on physiological sensors
N Drougard, C Ponzoni Carvalho Chanel, RN Roy, F Dehais
Human-agent interaction model learning based on crowdsourcing
JA Charles, CPC Chanel, C Chauffaut, P Chauvin, N Drougard
Proceedings of the 6th International Conference on Human-Agent Interaction …, 2018
Mixed-initiative human-automated agents teaming: towards a flexible cooperation framework
CPC Chanel, RN Roy, N Drougard, F Dehais
Engineering Psychology and Cognitive Ergonomics. Cognition and Design: 17th …, 2020
An online scenario for mixed-initiative planning considering human operator state estimation based on physiological sensors
N Drougard, C Carvalho Chanel, R Roy, F Dehais
IROS Workshop in Synergies Between Learning and Interaction (SBLI), 2017
Planning in Partially Observable Domains with Fuzzy Epistemic States and Probabilistic Dynamics
N Drougard, D Dubois, JL Farges, F Teichteil-Königsbuch
SUM-15, Scalable Uncertainty Management: 9th International Conference, SUM …, 2015
Physiological Assessment of Engagement during HRI: Impact of Manual vs Automatic Mode
N Drougard, RN Roy, S Scannella, F Dehais, CPC Chanel
2nd International Neuroergonomics Conference, 0, 2018
One Class Splitting Criteria for Random Forests with Application to Anomaly Detection
N Goix, R Brault, N Drougard, M Chiapino
Submitted to AISTATS, 2016
Exploiting imprecise information sources in sequential decision making problems under uncertainty
N Drougard
Toulouse, ISAE, 2015
Retrospective on the First Passive Brain-Computer Interface Competition on Cross-Session Workload Estimation
RN Roy, MF Hinss, L Darmet, S Ladouce, ES Jahanpour, B Somon, X Xu, ...
Frontiers in Neuroergonomics 3, 2022
Topological Data Analysis as a New Tool for EEG Processing
X Xu, N Drougard, RN Roy
Frontiers in Neuroscience 15, 761703, 2021
Exploitation vs Caution: Risk-sensitive Policies for Offline Learning
G Angelotti, N Drougard, CPC Chanel
arXiv preprint arXiv:2105.13431, 2021
Dimensionality Reduction via the Laplace-Beltrami Operator: Application to EEG-based BCI
X Xu, N Drougard, RN Roy
2021 10th International IEEE/EMBS Conference on Neural Engineering (NER …, 2021
Supporting drone mission planning and risk assessment with interactive representations of operational parameters
B Rakotonarivo, N Drougard, S Conversy, J Garcia
2022 International Conference on Unmanned Aircraft Systems (ICUAS), 1091-1100, 2022
AI can fool us humans, but not at the psycho-physiological level: a hyperscanning and physiological synchrony study
F Dehais, G Vergotte, N Drougard, G Ferraro, B Somon, CPC Chanel, ...
2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2021
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