| 2025 | IWANN | Learning Heuristics for k-NANN-A | Enrique Aldao Pensado, Laura Mara Fernndez-Pardo, Fernando Veiga Lpez, Caroline P. C. Chanel, Yoko Watanabe, Higinio Gonzlez-Jorge |
| 2024 | ICAPS | SKATE : Successive Rank-based Task Assignment for Proactive Online Planning. | Dborah Conforto Nedelmann, Jrme Lacan, Caroline P. C. Chanel |
| 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 | ECAI | Learning Path Constraints for UAV Autonomous Navigation Under Uncertain GNSS Availability. | Marion Zaninotti, Charles Lesire, Yoko Watanabe, Caroline P. C. Chanel |
| 2022 | ICAART | Expert-guided Symmetry Detection in Markov Decision Processes. | Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel |
| 2022 | SMC | Towards a POMDP-based Control in Hybrid Brain-Computer Interfaces. | Juan Jess Torre Tresols, Caroline P. C. Chanel, Frdric Dehais |
| 2020 | ECAI | Entropy-Based Adaptive Exploit-Explore Coefficient for Monte-Carlo Path Planning. | Ana Raquel Carmo, Jean-Alexis Delamer, Yoko Watanabe, Rodrigo Ventura, Caroline P. C. Chanel |
| 2020 | HCI | Mixed-Initiative Human-Automated Agents Teaming: Towards a Flexible Cooperation Framework. | Caroline P. C. Chanel, Raphalle N. Roy, Nicolas Drougard, Frdric Dehais |
| 2019 | SMC | Online ECG-based Features for Cognitive Load Assessment. | Caroline P. C. Chanel, Matthew D. Wilson, Sbastien Scannella |