most citedMutual information for the selection of relevant variables in spectrometric nonlinear modelling

219 citations · 957 across the 11 of their papers we have counts for

collaborators

11 papers

cs.NE200834 cited

A data-driven functional projection approach for the selection of feature ranges in spectra with ICA or cluster analysis

Catherine Krier, Fabrice Rossi, Damien François +1

Prediction problems from spectra are largely encountered in chemometry. In addition to accurate predictions, it is often needed to extract information about which wavelengths in th…

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…

stat.AP20082 cited

Batch kernel SOM and related Laplacian methods for social network analysis

Romain Boulet, Bertrand Jouve, Fabrice Rossi +1

Large graphs are natural mathematical models for describing the structure of the data in a wide variety of fields, such as web mining, social networks, information retrieval, biolo…

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.LG2007131 cited

Resampling methods for parameter-free and robust feature selection with mutual information

Damien François, Fabrice Rossi, Vincent Wertz +1

Combining the mutual information criterion with a forward feature selection strategy offers a good trade-off between optimality of the selected feature subset and computation time.…