219 citations · 1.3k across the 47 of their papers we have counts for
8 papers · 1 filter
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…
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…
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.…
Fast Selection of Spectral Variables with B-Spline Compression
Fabrice Rossi, Damien François, Vincent Wertz +2
The large number of spectral variables in most data sets encountered in spectral chemometrics often renders the prediction of a dependent variable uneasy. The number of variables h…
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…
Fast Algorithm and Implementation of Dissimilarity Self-Organizing Maps
Brieuc Conan-Guez, Fabrice Rossi, Aïcha El Golli
In many real world applications, data cannot be accurately represented by vectors. In those situations, one possible solution is to rely on dissimilarity measures that enable sensi…
Mutual information for the selection of relevant variables in spectrometric nonlinear modelling
Fabrice Rossi, Amaury Lendasse, Damien François +2
Data from spectrophotometers form vectors of a large number of exploitable variables. Building quantitative models using these variables most often requires using a smaller set of…
Support vector machine for functional data classification
Fabrice Rossi, Nathalie Villa
In many applications, input data are sampled functions taking their values in infinite dimensional spaces rather than standard vectors. This fact has complex consequences on data a…