| 2023 | CHI | Cleared for Safe Take-off? Improving the Usability of Mission Preparation to Mitigate the Safety Risks of Drone Operations. | Balita Heriniaina Rakotonarivo, Nicolas Drougard, Stphane Conversy, Jrmie Garcia |
| 2023 | ICAART | Data Augmentation Through Expert-Guided Symmetry Detection to Improve Performance in Offline Reinforcement Learning. | Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel |
| 2023 | ICAART | Data-Efficient Offline Reinforcement Learning with Approximate Symmetries. | Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel |
| 2022 | ICAART | Expert-guided Symmetry Detection in Markov Decision Processes. | Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel |
| 2021 | SMC | AI can fool us humans, but not at the psycho-physiological level: a hyperscanning and physiological synchrony study. | Frdric Dehais, G. Vergotte, Nicolas Drougard, G. Ferraro, Bertille Somon, Caroline Ponzoni Carvalho Chanel, Raphalle N. Roy |
| 2020 | HCI | Mixed-Initiative Human-Automated Agents Teaming: Towards a Flexible Cooperation Framework. | Caroline P. C. Chanel, Raphalle N. Roy, Nicolas Drougard, Frdric Dehais |
| 2018 | HAI | Human-Agent Interaction Model Learning based on Crowdsourcing. | Jack-Antoine Charles, Caroline P. Carvalho Chanel, Corentin Chauffaut, Pascal Chauvin, Nicolas Drougard |
| 2017 | ACML | One Class Splitting Criteria for Random Forests. | Nicolas Goix, Nicolas Drougard, Romain Brault, Mal Chiapino |
| 2014 | AAAI | Structured Possibilistic Planning Using Decision Diagrams. | Nicolas Drougard, Florent Teichteil-Knigsbuch, Jean-Loup Farges, Didier Dubois |
| 2013 | UAI | Qualitative Possibilistic Mixed-Observable MDPs. | Nicolas Drougard, Florent Teichteil-Knigsbuch, Jean-Loup Farges, Didier Dubois |