219 citations · 431 across the 4 of their papers we have counts for
4 papers
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…
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…
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…