Frédéric Alexandre Directeur de Recherches (INRIA)

Équipe LaBRI : Modèles et Algorithmes pour la Bioinformatique et la Visualisation
Courrier électronique :
Bureau : 252
Tél : +33 (0)5 40 00 37 93

Extrait de publications

Pramod Kaushik, Maxime Carrere, Frédéric Alexandre, Surampudi Raju. A biologically inspired neuronal model of reward prediction error computation. IJCNN 2017 - International Joint Conference on Neural Networks, May 2017, Anchorage, United States. pp.8

Ikram Chraibi Kaadoud, Nicolas P. Rougier, Frédéric Alexandre. Implicit knowledge extraction and structuration from electrical diagrams. The 30th International Conference on Industrial, Engineering, Other Applications of Applied Intelligent Systems, Jun 2017, Arras, France. 2017

Thalita Drumond, Thierry Viéville, Frédéric Alexandre. Using prototypes to improve convolutional networks interpretability. 31st Annual Conference on Neural Information Processing Systems: Transparent and interpretable machine learning in safety critical environments Workshop, Dec 2017, Long Beach, United States

Thierry Viéville, Xavier Hinaut, Thalita Drumond, Frédéric Alexandre. Recurrent neural network weight estimation through backward tuning. [Research Report] RR-9100, Inria Bordeaux Sud-Ouest. 2017, pp.1-54

Maria-Jose Escobar, Frédéric Alexandre, Thierry Viéville, Adrian Palacios. Rapid Prototyping for Bio–Inspired Robots. Rapid Roboting: Recent Advances on 3D Printers and Robotics , Springer, pp.300, 2017, Intelligent Systems, Control and Automation: Science and Engineering

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