H. Frezza-Buet

发表

From Natural to Artificial Intelligence: Numerical Processing for Cognitive Tasks

F. Alexandre, H. Frezza-Buet, 2004 .

Generic method for solving partial differential equations through the design of problem-specific Cellular Neural Networks

H. Frezza-Buet, N. Fressengeas, 2007 .

Numericalprocessingfor cognitive tasks

H. Frezza-Buet, and HervéFrezza-Buet, 2001 .

For Peer Review O nly Can self-organization emerge through dynamic neural fields computation ?

F. Alexandre, H. Frezza-Buet, Lucian Alecu, 2011 .

Discovering the phase of a dynamical system from a stream of partial observations with a multi-map self-organizing architecture

H. Frezza-Buet, Bassem Khouzam, 2011 .

Specialization with cortical models: An application to causality learning

Hervé Frezza-Buet, Frédéric Alexandre, F. Alexandre, 1999, ESANN.

Distributed recurrent self-organization for tracking the state of non-stationary partially observable dynamical systems

Hervé Frezza-Buet, Bassem Khouzam, H. Frezza-Buet, 2013, BICA 2013.

From a biological to a computational model for the autonomous behavior of an animat

Hervé Frezza-Buet, Frédéric Alexandre, F. Alexandre, 2002, Inf. Sci..

Dynamic neural field optimization using the unscented Kalman filter

Hervé Frezza-Buet, Jérémy Fix, Matthieu Geist, 2011, 2011 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB).

Can self-organisation emerge through dynamic neural fields computation?

Hervé Frezza-Buet, Frédéric Alexandre, Lucian Alecu, 2011, Connect. Sci..

Towards Word Semantics from Multi-modal Acoustico-Motor Integration: Application of the Bijama Model to the Setting of Action-Dependant Phonetic Representations

Olivier Ménard, Hervé Frezza-Buet, Frédéric Alexandre, 2005, Biomimetic Neural Learning for Intelligent Robots.

Multi-criteria self-organization: Example of motor-dependent phonetic representation for a multi-modal robot

Olivier Ménard, Hervé Frezza-Buet, Frédéric Alexandre, 2004 .

Following non-stationary distributions by controlling the vector quantization accuracy of a growing neural gas network

Hervé Frezza-Buet, H. Frezza-Buet, 2008, Neurocomputing.

Sample-efficient batch reinforcement learning for dialogue management optimization

Hervé Frezza-Buet, Olivier Pietquin, Matthieu Geist, 2011, TSLP.

LEARNING SELECTION OF ACTION FOR CORTICALLY-INSPIRED ROBOT CONTROL

Hervé Frezza-Buet, Frédéric Alexandre, F. Alexandre, 2008 .

Input Prediction Using Consensus Driven SOMs

Y. Boniface, H. Frezza-Buet, Noémie Gonnier, 2021, 2021 8th International Conference on Soft Computing & Machine Intelligence (ISCMI).

Model of multi-modal cortical processing: Coherent learning in self-organizing modules

Olivier Ménard, Hervé Frezza-Buet, H. Frezza-Buet, 2005, Neural Networks.