most citedFunctional Multi-Layer Perceptron: a Nonlinear Tool for Functional Data Analysis

135 citations · 322 across the 7 of their papers we have counts for

collaborators

7 papers

cs.NE2008

Accélération des cartes auto-organisatrices sur tableau de dissimilarités par séparation et évaluation

Brieuc Conan-Guez, Fabrice Rossi

In this paper, a new implementation of the adaptation of Kohonen self-organising maps (SOM) to dissimilarity matrices is proposed. This implementation relies on the branch and boun…

cs.NE2008

Multi-Layer Perceptrons and Symbolic Data

Fabrice Rossi, Brieuc Conan-Guez

In some real world situations, linear models are not sufficient to represent accurately complex relations between input variables and output variables of a studied system. Multilay…

cs.NE2007135 cited

Functional Multi-Layer Perceptron: a Nonlinear Tool for Functional Data Analysis

Fabrice Rossi, Brieuc Conan-Guez

In this paper, we study a natural extension of Multi-Layer Perceptrons (MLP) to functional inputs. We show that fundamental results for classical MLP can be extended to functional…

cs.NE2007126 cited

Representation of Functional Data in Neural Networks

Fabrice Rossi, Nicolas Delannay, Brieuc Conan-Guez +1

Functional Data Analysis (FDA) is an extension of traditional data analysis to functional data, for example spectra, temporal series, spatio-temporal images, gesture recognition da…

cs.NE20075 cited

Self-organizing maps and symbolic data

Aïcha El Golli, Brieuc Conan-Guez, Fabrice Rossi

In data analysis new forms of complex data have to be considered like for example (symbolic data, functional data, web data, trees, SQL query and multimedia data, ...). In this con…

cs.NE20077 cited

Une adaptation des cartes auto-organisatrices pour des données décrites par un tableau de dissimilarités

Aïcha El Golli, Fabrice Rossi, Brieuc Conan-Guez +1

Many data analysis methods cannot be applied to data that are not represented by a fixed number of real values, whereas most of real world observations are not readily available in…