219 citations · 1.3k across the 47 of their papers we have counts for
8 papers · 1 filter
Neural Networks for Complex Data
Marie Cottrell, Madalina Olteanu, Fabrice Rossi +2
Artificial neural networks are simple and efficient machine learning tools. Defined originally in the traditional setting of simple vector data, neural network models have evolved…
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…
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…
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…
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…
Theoretical Properties of Projection Based Multilayer Perceptrons with Functional Inputs
Fabrice Rossi, Brieuc Conan-Guez
Many real world data are sampled functions. As shown by Functional Data Analysis (FDA) methods, spectra, time series, images, gesture recognition data, etc. can be processed more e…