| The rope scale: a measure of how empathic a robot is perceived L Charrier, A Rieger, A Galdeano, A Cordier, M Lefort, S Hassas 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI …, 2019 | 32 | 2019 |
| Equimod: An equivariance module to improve visual instance discrimination A Devillers, M Lefort International Conference on Learning Representations, 2023 | 29* | 2023 |
| Empathy display influence on human-robot interactions: a pilot study L Charrier, A Galdeano, A Cordier, M Lefort Workshop on Towards Intelligent Social Robots: From Naive Robots to Robot …, 2018 | 18 | 2018 |
| Using self-organizing maps for regression: the importance of the output function. T Hecht, M Lefort, A Gepperth ESANN, 107-112, 2015 | 17 | 2015 |
| Somma: Cortically inspired paradigms for multimodal processing M Lefort, Y Boniface, B Girau The 2013 International Joint Conference on Neural Networks (IJCNN), 1-8, 2013 | 13 | 2013 |
| Self-organization of neural maps using a modulated BCM rule within a multimodal architecture M Lefort, Y Boniface, B Girau Brain Inspired Cognitive Systems 2010, 26, 2010 | 12 | 2010 |
| Learning arithmetic operations with a multistep deep learning B Nollet, M Lefort, F Armetta 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 9 | 2020 |
| Biologically inspired incremental learning for high-dimensional spaces A Gepperth, T Hecht, M Lefort, U Korner 2015 Joint IEEE International Conference on Development and Learning and …, 2015 | 9 | 2015 |
| Active learning of local predictable representations with artificial curiosity M Lefort, A Gepperth 2015 Joint IEEE International Conference on Development and Learning and …, 2015 | 8 | 2015 |
| Learning to be attractive: probabilistic computation with dynamic attractor networks A Gepperth, M Lefort 2016 Joint IEEE International Conference on Development and Learning and …, 2016 | 6 | 2016 |
| Resource-efficient Incremental learning in very high dimensions. A Gepperth, M Lefort, T Hecht, U Körner ESANN, 2015 | 5 | 2015 |
| Multimodal space representation driven by self-evaluation of predictability M Lefort, T Kopinski, A Gepperth 4th International Conference on Development and Learning and on Epigenetic …, 2014 | 5 | 2014 |
| Propre: Projection and prediction for multimodal correlations learning. an application to pedestrians visual data discrimination M Lefort, A Gepperth 2014 International Joint Conference on Neural Networks (IJCNN), 2718-2725, 2014 | 5 | 2014 |
| Coupling bcm and neural fields for the emergence of self-organization consensus M Lefort, Y Boniface, B Girau From Brains to Systems: Brain-Inspired Cognitive Systems 2010, 41-56, 2011 | 5 | 2011 |
| Competition in high dimensional spaces using a sparse approximation of neural fields JC Quinton, B Girau, M Lefort From Brains to Systems: Brain-Inspired Cognitive Systems 2010, 123-137, 2010 | 5 | 2010 |
| Système de recommandation de ressources pédagogiques pour un apprentissage sur application mobile parascolaire A Badier, M Lefort, M Lefevre 10e Conférence sur les Environnements Informatiques pour l’Apprentissage …, 2021 | 4 | 2021 |
| Developmental learning for social robots in real-world interactions A Galdeano, A Gonnot, C Cottet, S Hassas, M Lefort, A Cordier First Workshop on Social Robots in the Wild at the 13th Annual ACM/IEEE …, 2018 | 4 | 2018 |
| Recommendation Model for an After-School E-learning Mobile Application. A Badier, M Lefort, M Lefevre CSEDU (2), 80-87, 2023 | 3 | 2023 |
| Combining manifold learning and neural field dynamics for multimodal fusion S Forest, JC Quinton, M Lefort 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 3 | 2022 |
| A dynamic neural field model of multimodal merging: application to the ventriloquist effect S Forest, JC Quinton, M Lefort Neural Computation 34 (8), 1701-1726, 2022 | 3 | 2022 |
