Mathieu Lefort
Titolo
Citata da
Citata da
Anno
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
172015
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
82013
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
82010
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
52015
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
52014
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
52014
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
52011
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
42011
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
32019
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
32018
Active learning of local predictable representations with artificial curiosity
M Lefort, A Gepperth
2015 Joint IEEE International Conference on Development and Learning and …, 2015
32015
Resource-efficient incremental learning in very high dimensions
A Gepperth, M Lefort, T Hecht, U Körner
Proceedings, 379, 2015
32015
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
22018
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
22016
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
22016
Latency-based probabilistic information processing in recurrent neural hierarchies
A Gepperth, M Lefort
International Conference on Artificial Neural Networks, 715-722, 2014
22014
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
12017
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
12017
Discrimination of visual pedestrians data by combining projection and prediction learning
M Lefort, A Gepperth
European Symposium on artificial neural networks (ESANN), 2014
12014
Apprentissage spatial de corrélations multimodales par des mécanismes d'inspiration corticale
M Lefort
Université de Lorraine, 2012
12012
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20