Nicolas Drougard

29 papers A* 2A 2B 2C 1Journal 14Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
An offline risk-aware policy selection method for Bayesian Markov decision processes.
Artif. Intell.
Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel
2025 J jnl
A High-Accuracy SSIM-based Scoring System for Coin Die Link Identification.
CoRR
Patrice Labedan, Nicolas Drougard, Alexandre Berezin, Guowei Sun, Francis Dieulafait
2025 J jnl
Interface Homme-Machine pour l'Identification des Liaisons de Coins.
CoRR
Patrice Labedan, Nicolas Drougard
2024 A conf
Offline Risk-sensitive RL with Partial Observability to Enhance Performance in Human-Robot Teaming.
AAMAS
Giorgio Angelotti, Caroline P. C. Chanel, Adam Henrique Moreira Pinto, Christophe Lounis, Corentin Chauffaut, Nicolas Drougard
2024 J jnl
Offline Risk-sensitive RL with Partial Observability to Enhance Performance in Human-Robot Teaming.
CoRR
Giorgio Angelotti, Caroline P. C. Chanel, Adam H. M. Pinto, Christophe Lounis, Corentin Chauffaut, Nicolas Drougard
2023 A* conf
Cleared for Safe Take-off? Improving the Usability of Mission Preparation to Mitigate the Safety Risks of Drone Operations.
CHI
Balita Heriniaina Rakotonarivo, Nicolas Drougard, Stéphane Conversy, Jérémie Garcia
2023 — conf
Data Augmentation Through Expert-Guided Symmetry Detection to Improve Performance in Offline Reinforcement Learning.
ICAART (2)
Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel
2023 — conf
Data-Efficient Offline Reinforcement Learning with Approximate Symmetries.
ICAART (Revised Selected Paper)
Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel
2022 — conf
Expert-guided Symmetry Detection in Markov Decision Processes.
ICAART (2)
Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel
2022 — conf
Sécurité avant tout! Étude par entretiens de la planification de missions de drones pour guider la conception des systèmes soutenant les analyses de sécurité et les demandes d'autorisation: Safety first! An Interview Study of Drone Mission Development to Guide System Design Supporting Safety Analyse and Authorization Requests.
IHM
Balita Heriniaina Rakotonarivo, Nicolas Drougard, Stéphane Conversy, Jérémie Garcia
2021 B conf
AI can fool us humans, but not at the psycho-physiological level: a hyperscanning and physiological synchrony study.
SMC
Frédéric Dehais, G. Vergotte, Nicolas Drougard, G. Ferraro, Bertille Somon, Caroline Ponzoni Carvalho Chanel, Raphaëlle N. Roy
2021 — conf
Dimensionality Reduction via the Laplace-Beltrami Operator: Application to EEG-based BCI.
NER
Xiaoqi Xu, Nicolas Drougard, Raphaëlle N. Roy
2021 J jnl
Expert-Guided Symmetry Detection in Markov Decision Processes.
CoRR
Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel
2021 J jnl
Exploitation vs Caution: Risk-sensitive Policies for Offline Learning.
CoRR
Giorgio Angelotti, Nicolas Drougard, Caroline Ponzoni Carvalho Chanel
2021 J jnl
Exploiting Expert-guided Symmetry Detection in Markov Decision Processes.
CoRR
Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel
2021 — conf
Revue Systématique de la Littérature sur le Soutien à la Sécurité des Opérations de Drones: Systematic Literature Review of Safety Support for Drones Operations.
IHM
Balita Heriniaina Rakotonarivo, Nicolas Drougard, Stéphane Conversy, Jérémie Garcia
2020 J jnl
How Can Physiological Computing Benefit Human-Robot Interaction?
Robotics
Raphaëlle N. Roy, Nicolas Drougard, Thibault Gateau, Frédéric Dehais, Caroline P. C. Chanel
2020 — conf
Mixed-Initiative Human-Automated Agents Teaming: Towards a Flexible Cooperation Framework.
HCI (7)
Caroline P. C. Chanel, Raphaëlle N. Roy, Nicolas Drougard, Frédéric Dehais
2020 J jnl
Offline Learning for Planning: A Summary.
CoRR
Giorgio Angelotti, Nicolas Drougard, Caroline Ponzoni Carvalho Chanel
2020 J jnl
Towards Mixed-Initiative Human-Robot Interaction: Assessment of Discriminative Physiological and Behavioral Features for Performance Prediction.
Sensors
Caroline P. Carvalho Chanel, Raphaëlle N. Roy, Frédéric Dehais, Nicolas Drougard
2019 J jnl
Monitoring Pilot's Mental Workload Using ERPs and Spectral Power with a Six-Dry-Electrode EEG System in Real Flight Conditions.
Sensors
Frédéric Dehais, Alban Duprès, Sarah Blum, Nicolas Drougard, Sébastien Scannella, Raphaëlle N. Roy, Fabien Lotte
2018 B conf
Human-Agent Interaction Model Learning based on Crowdsourcing.
HAI
Jack-Antoine Charles, Caroline P. Carvalho Chanel, Corentin Chauffaut, Pascal Chauvin, Nicolas Drougard
2017 C conf
One Class Splitting Criteria for Random Forests.
ACML
Nicolas Goix, Nicolas Drougard, Romain Brault, Maël Chiapino
2016 J jnl
One Class Splitting Criteria for Random Forests.
CoRR
Nicolas Goix, Nicolas Drougard, Romain Brault, Maël Chiapino
2015 — conf
Planning in Partially Observable Domains with Fuzzy Epistemic States and Probabilistic Dynamics.
SUM
Nicolas Drougard, Didier Dubois, Jean-Loup Farges, Florent Teichteil-Königsbuch
2015 J jnl
Processus décisionnels de Markov possibilistes à observabilité mixte.
Rev. d'Intelligence Artif.
Nicolas Drougard, Florent Teichteil-Königsbuch, Jean-Loup Farges, Didier Dubois
2014 A* conf
Structured Possibilistic Planning Using Decision Diagrams.
AAAI
Nicolas Drougard, Florent Teichteil-Königsbuch, Jean-Loup Farges, Didier Dubois
2013 A conf
Qualitative Possibilistic Mixed-Observable MDPs.
UAI
Nicolas Drougard, Florent Teichteil-Königsbuch, Jean-Loup Farges, Didier Dubois
2013 J jnl
Qualitative Possibilistic Mixed-Observable MDPs.
CoRR
Nicolas Drougard, Florent Teichteil-Königsbuch, Jean-Loup Farges, Didier Dubois