Search Results for author: Bastien Pasdeloup

Found 5 papers, 0 papers with code

Graphs as Tools to Improve Deep Learning Methods

no code implementations8 Oct 2021 Carlos Lassance, Myriam Bontonou, Mounia Hamidouche, Bastien Pasdeloup, Lucas Drumetz, Vincent Gripon

This chapter is composed of four main parts: tools for visualizing intermediate layers in a DNN, denoising data representations, optimizing graph objective functions and regularizing the learning process.

Denoising

An Approach for Clustering Subjects According to Similarities in Cell Distributions within Biopsies

no code implementations30 Jun 2020 Yassine El Ouahidi, Matis Feller, Matthieu Talagas, Bastien Pasdeloup

In this paper, we introduce a novel and interpretable methodology to cluster subjects suffering from cancer, based on features extracted from their biopsies.

Survival Analysis

Convolutional neural networks on irregular domains based on approximate vertex-domain translations

no code implementations27 Oct 2017 Bastien Pasdeloup, Vincent Gripon, Jean-Charles Vialatte, Dominique Pastor, Pascal Frossard

We propose a generalization of convolutional neural networks (CNNs) to irregular domains, through the use of a translation operator on a graph structure.

Translation

Evaluating Graph Signal Processing for Neuroimaging Through Classification and Dimensionality Reduction

no code implementations6 Mar 2017 Mathilde Ménoret, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon

Graph Signal Processing (GSP) is a promising framework to analyze multi-dimensional neuroimaging datasets, while taking into account both the spatial and functional dependencies between brain signals.

Dimensionality Reduction General Classification +1

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