Qualitative Possibilistic Mixed-Observable MDPs. - Nicolas Drougard; Florent Teichteil-Königsbuch; Jean-Loup Farges; Didier Dubois (UAI, 2013)

Structured Possibilistic Planning Using Decision Diagrams. - Nicolas Drougard; Florent Teichteil-Königsbuch; Jean-Loup Farges; Didier Dubois (AAAI, 2014)

Planning in Partially Observable Domains with Fuzzy Epistemic States and Probabilistic Dynamics. - Nicolas Drougard; Didier Dubois; Jean-Loup Farges; Florent Teichteil-Königsbuch (SUM, 2015)

Processus décisionnels de Markov possibilistes à observabilité mixte. - Nicolas Drougard; Florent Teichteil-Königsbuch; Jean-Loup Farges; Didier Dubois (Rev. d'Intelligence Artif., 2015)

One Class Splitting Criteria for Random Forests. - Nicolas Goix; Nicolas Drougard; Romain Brault; Maël Chiapino (ACML, 2017)

Human-Agent Interaction Model Learning based on Crowdsourcing. - Jack-Antoine Charles; Caroline P. Carvalho Chanel; Corentin Chauffaut; Pascal Chauvin; Nicolas Drougard (HAI, 2018)

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

Mixed-Initiative Human-Automated Agents Teaming: Towards a Flexible Cooperation Framework. - Caroline P. C. Chanel; Raphaëlle N. Roy; Nicolas Drougard; Frédéric Dehais (HCI (7), 2020)

Offline Learning for Planning: A Summary. - Giorgio Angelotti; Nicolas Drougard; Caroline Ponzoni Carvalho Chanel (CoRR, 2020)

How Can Physiological Computing Benefit Human-Robot Interaction? - Raphaëlle N. Roy; Nicolas Drougard; Thibault Gateau; Frédéric Dehais; Caroline P. C. Chanel (Robotics, 2020)

Towards Mixed-Initiative Human-Robot Interaction: Assessment of Discriminative Physiological and Behavioral Features for Performance Prediction. - Caroline P. Carvalho Chanel; Raphaëlle N. Roy; Frédéric Dehais; Nicolas Drougard (Sensors, 2020)

Revue Systématique de la Littérature sur le Soutien à la Sécurité des Opérations de Drones: Systematic Literature Review of Safety Support for Drones Operations. - Balita Heriniaina Rakotonarivo; Nicolas Drougard; Stéphane Conversy; Jérémie Garcia (IHM, 2021)

Dimensionality Reduction via the Laplace-Beltrami Operator: Application to EEG-based BCI. - Xiaoqi Xu; Nicolas Drougard; Raphaëlle N. Roy (NER, 2021)

AI can fool us humans, but not at the psycho-physiological level: a hyperscanning and physiological synchrony study. - Frédéric Dehais; G. Vergotte; Nicolas Drougard; G. Ferraro; Bertille Somon; Caroline Ponzoni Carvalho Chanel; Raphaëlle N. Roy (SMC, 2021)

Exploitation vs Caution: Risk-sensitive Policies for Offline Learning. - Giorgio Angelotti; Nicolas Drougard; Caroline Ponzoni Carvalho Chanel (CoRR, 2021)

Exploiting Expert-guided Symmetry Detection in Markov Decision Processes. - Giorgio Angelotti; Nicolas Drougard; Caroline P. C. Chanel (CoRR, 2021)

Expert-guided Symmetry Detection in Markov Decision Processes. - Giorgio Angelotti; Nicolas Drougard; Caroline P. C. Chanel (ICAART (2), 2022)

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. - Balita Heriniaina Rakotonarivo; Nicolas Drougard; Stéphane Conversy; Jérémie Garcia (IHM, 2022)

Cleared for Safe Take-off? Improving the Usability of Mission Preparation to Mitigate the Safety Risks of Drone Operations. - Balita Heriniaina Rakotonarivo; Nicolas Drougard; Stéphane Conversy; Jérémie Garcia (CHI, 2023)

Data Augmentation Through Expert-Guided Symmetry Detection to Improve Performance in Offline Reinforcement Learning. - Giorgio Angelotti; Nicolas Drougard; Caroline P. C. Chanel (ICAART (2), 2023)

Data-Efficient Offline Reinforcement Learning with Approximate Symmetries. - Giorgio Angelotti; Nicolas Drougard; Caroline P. C. Chanel (ICAART (Revised Selected Paper), 2023)

Offline Risk-sensitive RL with Partial Observability to Enhance Performance in Human-Robot Teaming. - Giorgio Angelotti; Caroline P. C. Chanel; Adam Henrique Moreira Pinto; Christophe Lounis; Corentin Chauffaut; Nicolas Drougard (AAMAS, 2024)

A High-Accuracy SSIM-based Scoring System for Coin Die Link Identification. - Patrice Labedan; Nicolas Drougard; Alexandre Berezin; Guowei Sun; Francis Dieulafait (CoRR, 2025)