| Using self-organizing maps for regression: the importance of the output function T Hecht, M Lefort, A Gepperth 23rd European Symposium on Artificial Neural Networks, Computational …, 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 | 8 | 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 | 8 | 2010 |
| 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 | 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, 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, 123-137, 2011 | 4 | 2011 |
| 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 | 3 | 2019 |
| 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 | 3 | 2018 |
| Active learning of local predictable representations with artificial curiosity M Lefort, A Gepperth 2015 Joint IEEE International Conference on Development and Learning and …, 2015 | 3 | 2015 |
| Resource-efficient incremental learning in very high dimensions A Gepperth, M Lefort, T Hecht, U Körner Proceedings, 379, 2015 | 3 | 2015 |
| 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 | 2 | 2018 |
| 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 | 2 | 2016 |
| Flexible load shedding using gossip communication in a multi-agents system V Lequay, M Lefort, S Mansour, S Hassas 2016 IEEE 10th International Conference on Self-Adaptive and Self-Organizing …, 2016 | 2 | 2016 |
| Latency-based probabilistic information processing in recurrent neural hierarchies A Gepperth, M Lefort International Conference on Artificial Neural Networks, 715-722, 2014 | 2 | 2014 |
| Autonomous object recognition in videos using Siamese Neural Networks N Medjkoune, F Armetta, M Lefort, S Duffner EUCognition Meeting (European Society for Cognitive Systems) on" Learning …, 2017 | 1 | 2017 |
| Ajustement diffus et adaptatif de la consommation électrique résidentielle par un système multi-agent auto-adaptatif V Lequay, M Lefort, S Mansour, S Hassas Revue des Sciences et Technologies de l'Information-Série RIA: Revue d …, 2017 | 1 | 2017 |
| Discrimination of visual pedestrians data by combining projection and prediction learning M Lefort, A Gepperth European Symposium on artificial neural networks (ESANN), 2014 | 1 | 2014 |
| Apprentissage spatial de corrélations multimodales par des mécanismes d'inspiration corticale M Lefort Université de Lorraine, 2012 | 1 | 2012 |
