219 citations · 654 across the 15 of their papers we have counts for
15 papers
Electrode Selection for Noninvasive Fetal Electrocardiogram Extraction using Mutual Information Criteria
Reza Sameni, Frédéric Vrins, Fabienne Parmentier +5
Blind source separation (BSS) techniques have revealed to be promising approaches for, among other, biomedical signal processing applications. Specifically, for the noninvasive ext…
SQuadMDS: a lean Stochastic Quartet MDS improving global structure preservation in neighbor embedding like t-SNE and UMAP
Pierre Lambert, Cyril de Bodt, Michel Verleysen +1
Multidimensional scaling is a statistical process that aims to embed high dimensional data into a lower-dimensional space; this process is often used for the purpose of data visual…
Perplexity-free Parametric t-SNE
Francesco Crecchi, Cyril de Bodt, Michel Verleysen +2
The t-distributed Stochastic Neighbor Embedding (t-SNE) algorithm is a ubiquitously employed dimensionality reduction (DR) method. Its non-parametric nature and impressive efficacy…
Advances in Feature Selection with Mutual Information
Michel Verleysen, Fabrice Rossi, Damien François
The selection of features that are relevant for a prediction or classification problem is an important problem in many domains involving high-dimensional data. Selecting features h…
Fault prediction in aircraft engines using Self-Organizing Maps
Marie Cottrell, Patrice Gaubert, Cédric Eloy +4
Aircraft engines are designed to be used during several tens of years. Their maintenance is a challenging and costly task, for obvious security reasons. The goal is to ensure a pro…
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…