Theoretical properties of functional Multi Layer Perceptrons. - Fabrice Rossi; Brieuc Conan-Guez; François Fleuret (ESANN, 2002)

Multi-layer Perceptrons for Functional Data Analysis: A Projection Based Approach. - Brieuc Conan-Guez; Fabrice Rossi (ICANN, 2002)

Functional radial basis function networks. - Nicolas Delannay; Fabrice Rossi; Brieuc Conan-Guez; Michel Verleysen (ESANN, 2004)

Functional preprocessing for multilayer perceptrons. - Fabrice Rossi; Brieuc Conan-Guez (ESANN, 2004)

Clustering functional data with the SOM algorithm. - Fabrice Rossi; Brieuc Conan-Guez; Aïcha El Golli (ESANN, 2004)

Representation of functional data in neural networks. - Fabrice Rossi; Nicolas Delannay; Brieuc Conan-Guez; Michel Verleysen (Neurocomputing, 2005)

Functional multi-layer perceptron: a non-linear tool for functional data analysis. - Fabrice Rossi; Brieuc Conan-Guez (Neural Networks, 2005)

Fast algorithm and implementation of dissimilarity self-organizing maps. - Brieuc Conan-Guez; Fabrice Rossi; Aïcha El Golli (Neural Networks, 2006)

Theoretical Properties of Projection Based Multilayer Perceptrons with Functional Inputs. - Fabrice Rossi; Brieuc Conan-Guez (Neural Process. Lett., 2006)

Speeding Up the Dissimilarity Self-Organizing Maps by Branch and Bound. - Brieuc Conan-Guez; Fabrice Rossi (IWANN, 2007)

Une adaptation des cartes auto-organisatrices pour des données décrites par un tableau de dissimilarités - Aïcha El Golli; Fabrice Rossi; Brieuc Conan-Guez; Yves Lechevallier (CoRR, 2007)

Self-organizing maps and symbolic data - Aïcha El Golli; Brieuc Conan-Guez; Fabrice Rossi (CoRR, 2007)

Functional Multi-Layer Perceptron: a Nonlinear Tool for Functional Data Analysis - Fabrice Rossi; Brieuc Conan-Guez (CoRR, 2007)

Multi-Layer Perceptrons and Symbolic Data - Fabrice Rossi; Brieuc Conan-Guez (CoRR, 2008)

Accélération des cartes auto-organisatrices sur tableau de dissimilarités par séparation et évaluation - Brieuc Conan-Guez; Fabrice Rossi (CoRR, 2008)

Dissimilarity Clustering by Hierarchical Multi-Level Refinement. - Brieuc Conan-Guez; Fabrice Rossi (ESANN, 2012)

Mod-Müllner: an efficient algorithm for hierarchical community analysis in large networks. - Brieuc Conan-Guez; Manh Cuong Nguyen 001 (Int. J. Soc. Netw. Min., 2015)

K-Spectral Centroïd pour des données massives. - Brieuc Conan-Guez; Alain Gély; Lydia Boudjeloud-Assala; Alexandre Blansché (EGC, 2017)

K-spectral centroid: extension and optimizations. - Brieuc Conan-Guez; Alain Gély; Lydia Boudjeloud-Assala; Alexandre Blansché (ESANN, 2018)

A Bayesian Convolutional Neural Network for Robust Galaxy Ellipticity Regression. - Claire Theobald; Bastien Arcelin; Frédéric Pennerath; Brieuc Conan-Guez; Miguel Couceiro; Amedeo Napoli (ECML/PKDD (5), 2021)

A Bayesian Neural Network based on Dropout Regulation. - Claire Theobald; Frédéric Pennerath; Brieuc Conan-Guez; Miguel Couceiro; Amedeo Napoli (CoRR, 2021)

Clarity: an improved gradient method for producing quality visual counterfactual explanations. - Claire Theobald; Frédéric Pennerath; Brieuc Conan-Guez; Miguel Couceiro; Amedeo Napoli (CoRR, 2022)

Clarity: a Deep Ensemble for Visual Counterfactual Explanations. - Claire Theobald; Frédéric Pennerath; Brieuc Conan-Guez; Miguel Couceiro; Amedeo Napoli (ESANN, 2024)

On the Calibration of Epistemic Uncertainty: Principles, Paradoxes and Conflictual Loss. - Mohammed Fellaji; Frédéric Pennerath; Brieuc Conan-Guez; Miguel Couceiro (ECML/PKDD (4), 2024)