Flux publications Open Science ISAE-SUPAERO

Xu Xiaoqi, Lee, Darrick, Drougard Nicolas, Roy Raphaëlle N., Signature methods for brain-computer interfaces. 2023, Scientific Reports. ISSN 2045-2322

Signature methods for brain-computer interfaces

Roy Raphaëlle N., Hinss Marcel F., Darmet Ludovic, Ladouce Simon, Jahanpour Emilie, Somon Bertille, Xu Xiaoqi, Drougard Nicolas, Dehais Frédéric, Lotte Fabien, Retrospective on the first passive brain-computer interface competition on cross-session workload estimation. 2022, Frontiers in Neuroergonomics. 3. ISSN 2673-6195

Retrospective on the first passive brain-computer interface competition on cross-session workload estimation

Angelotti Giorgio, Drougard Nicolas, Ponzoni Carvalho Chanel Caroline, Expert-guided Symmetry Detection in Markov Decision Processes : Proceedings of the 14th International Conference on Agents and Artificial Intelligence. 2022, International Conference on Agents and Artificial Intelligence, 2022-02-03 - 2022-02-05 (2022-02-05, Vienna)

Expert-guided Symmetry Detection in Markov Decision Processes : Proceedings of the 14th International Conference on Agents and Artificial Intelligence

Dehais Frédéric, Vergotte Grégoire, Drougard Nicolas, Ferraro Giuseppe, Somon Bertille, Ponzoni Carvalho Chanel Caroline, Roy Raphaëlle N., AI can fool us humans, but not at the psycho-physiological level : a hyperscanning and physiological synchrony study. 2021, IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2021), 2021-10-17 - 2021-10-20 (2021-10-20, Virtual event)

AI can fool us humans, but not at the psycho-physiological level: a hyperscanning and physiological synchrony study

Jahanpour Emilie, Xu Xiaoqi, Hinss Marcel F., Drougard Nicolas, Roy Raphaëlle N., A neuroergonomic approach to performance estimation in a psychomotor vigilance task. 2021, Neuroergonomics Conference 2021, 2021-09-11 - 2021-09-16 (2021-09-16, Munich)

A neuroergonomic approach to performance estimation in a psychomotor vigilance task

Xu Xiaoqi, Drougard Nicolas, Roy Raphaëlle N., Dimensionality Reduction via the Laplace-Beltrami Operator : Application to EEG-based BCI. 2021, IEEE Neural Engineering Conference, 2021-05-04 - 2021-05-06 (2021-05-06, Virtual event)

Dimensionality Reduction via the Laplace-Beltrami Operator: Application to EEG-based BCI

Ponzoni Carvalho Chanel Caroline, Roy Raphaëlle N., Dehais Frédéric, Drougard Nicolas, Towards Mixed-Initiative Human–Robot Interaction : Assessment of Discriminative Physiological and Behavioral Features for Performance Prediction. 2020, Sensors, Special issue Human-Machine Interaction and Sensors. 20 (1). 1-20. ISSN 1424-8220

Towards Mixed-Initiative Human–Robot Interaction: Assessment of Discriminative Physiological and Behavioral Features for Performance Prediction

Roy Raphaëlle N., Drougard Nicolas, Gateau Thibault, Dehais Frédéric, Ponzoni Carvalho Chanel Caroline, How Can Physiological Computing Benefit Human-Robot Interaction ?. 2020, Robotics. 9 (4). 100-124. ISSN 2218-6581

How Can Physiological Computing Benefit Human-Robot Interaction?

Ponzoni Carvalho Chanel Caroline, Roy Raphaëlle N., Dehais Frédéric, Drougard Nicolas, Mixed-Initiative Human-Automated Agents Teaming : Towards a Flexible Cooperation Framework. 2020, 22nd International Conference on Human-Computer Interaction - HCI INTERNATIONAL 2020, 2020-07-19 - 2020-07-24 (2020-07-24, Copenhagen)

Mixed-Initiative Human-Automated Agents Teaming: Towards a Flexible Cooperation Framework

Rakotonarivo Balita Heriniaina, Ponzoni Carvalho Chanel Caroline, Conversy Stéphane, Drougard Nicolas, Garcia Jérémie, Interactions for the design, certification and execution of UAV missions. 2020

Interactions for the design, certification and execution of UAV missions

Drougard Nicolas, Vergotte Grégoire, Ferraro Giuseppe, Somon Bertille, Ponzoni Carvalho Chanel Caroline, Roy Raphaëlle N., Dehais Frédéric, Hyperscan Project : investigate the physiological and neural markers of teammates cooperation. 2020

Hyperscan Project: investigate the physiological and neural markers of teammates cooperation

Angelotti Giorgio, Drougard Nicolas, Ponzoni Carvalho Chanel Caroline, Offline Learning for Planning : A Summary. 2020, Bridging the Gap Between AI Planning and Reinforcement Learning (PRL), ICAPS 2020 Workshop, 2020-10-22 - 2020-10-23 (2020-10-23, Nancy)

Offline Learning for Planning: A Summary

Dehais Frédéric, Duprès Alban, Blum Sarah, Drougard Nicolas, Scannella Sébastien, Roy Raphaëlle N., Lotte Fabien, Monitoring Pilot’s Mental Workload Using ERPs and Spectral Power with a Six-Dry-Electrode EEG System in Real Flight Conditions. 2019, Sensors. 19 (6). 1-14. ISSN 1424-8220

Monitoring Pilot’s Mental Workload Using ERPs and Spectral Power with a Six-Dry-Electrode EEG System in Real Flight Conditions

Charles Jack-Antoine, Ponzoni Carvalho Chanel Caroline, Chauffaut Corentin, Chauvin Pascal, Drougard Nicolas, Human-Agent Interaction Model Learning based on Crowdsourcing. 2018, 6th International Conference on Human- Agent Interaction (HAI’18), 2018-12-15 - 2018-12-18 (2018-12-18, Southampton)

Human-Agent Interaction Model Learning based on Crowdsourcing

Drougard Nicolas, Roy Raphaëlle N., Scannella Sébastien, Dehais Frédéric, Ponzoni Carvalho Chanel Caroline, Physiological Assessment of Engagement during HRI : Impact of Manual vs Automatic Mode. 2018, 2nd International Neuroergonomics Conference, 2018-06-27 - 2018-06-29 (2018-06-29, Philadelphia)

Physiological Assessment of Engagement during HRI: Impact of Manual vs Automatic Mode

Drougard Nicolas, Ponzoni Carvalho Chanel Caroline, Roy Raphaëlle N., Dehais Frédéric, Mixed-initiative mission planning considering human operator state estimation based on physiological sensors. 2017, IROS-2017 workshop on Human-Robot Interaction in Collaborative Manufacturing Environments (HRI-CME), 2017-09-24

Mixed-initiative mission planning considering human operator state estimation based on physiological sensors

Goix Nicolas, Drougard Nicolas, Brault Romain, Chiapino Mael, One Class Splitting Criteria for Random Forests. 2017, The 9th Asian Conference on Machine Learning, 2017-11-15 - 2017-11-17 (2017-11-17, Seoul)

One Class Splitting Criteria for Random Forests

Drougard Nicolas, Teichteil-Königsbuch Florent, Farges Jean-Loup, Dubois Didier, Processus décisionnels de Markov possibilités à observabilité mixte. 2015, Revue d’intelligence artificielle. 29 (6). 629-653. ISSN 0992-499X

Processus décisionnels de Markov possibilités à observabilité mixte

Drougard Nicolas, Dubois Didier, Farges Jean-Loup, Teichteil-Königsbuch Florent, Planning in Partially Observable Domains with Fuzzy Epistemic States and Probabilistic Dynamics : Scalable Uncertainty Management. 2015, 9th International Conference on Scalable Uncertainty Management (SUM 2015), 2015-09-18 - 2015-09-16 (2015-09-16, Quebec)

Planning in Partially Observable Domains with Fuzzy Epistemic States and Probabilistic Dynamics : Scalable Uncertainty Management

Drougard Nicolas, Teichteil-Königsbuch Florent, Farges Jean-Loup, Dubois Didier, Structured Possibilistic Planning Using Decision Diagrams : Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence. 2014, Conference on Artificial Intelligence - AAAI 2014, 2014-0731 - 2014-07-27 (2014-07-27, Québec)

Structured Possibilistic Planning Using Decision Diagrams : Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence

Drougard Nicolas, Teichteil-Königsbuch Florent, Farges Jean-Loup, Dubois Didier, Qualitative Possibilistic Mixed-Observable MDPs : Proceedings of the 29th AAAI Conference on Artificial Intelligence. 2013, 29th Conference on Uncertainty in Artificial Intelligence (UAI 2013), 2013-07-15 - 2013-07-11 (2013-07-11, Bellevue, Wash)

Qualitative Possibilistic Mixed-Observable MDPs : Proceedings of the 29th AAAI Conference on Artificial Intelligence

Drougard, Nicolas, Exploiting imprecise information sources in sequential decision making problems under uncertainty. Tirer profit de sources d’information imprécises pour la décision séquentielle dans l’incertain

Exploiting imprecise information sources in sequential decision making problems under uncertainty. Tirer profit de sources d'information imprécises po