output
20162021
most citedConvolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation

821 citations

Showing 2020Show all

5 papers · 1 filter

q-bio.NC2020★ 2 cited

Improving J-divergence of brain connectivity states by graph Laplacian denoising

Tiziana Cattai, Gaetano Scarano, Marie-Constance Corsi +3

Functional connectivity (FC) can be represented as a network, and is frequently used to better understand the neural underpinnings of complex tasks such as motor imagery (MI) detec…

stat.ML2020★ 6 cited

Geometry-Aware Hamiltonian Variational Auto-Encoder

Clément Chadebec, Clément Mantoux, Stéphanie Allassonnière

Variational auto-encoders (VAEs) have proven to be a well suited tool for performing dimensionality reduction by extracting latent variables lying in a potentially much smaller dim…

q-bio.NC2020

BCI learning induces core-periphery reorganization in M/EEG multiplex brain networks

Marie-Constance Corsi, Mario Chavez, Denis Schwartz +6

Brain-computer interfaces (BCIs) constitute a promising tool for communication and control. However, mastering non-invasive closed-loop systems remains a learned skill that is diff…

q-bio.PE2020★ 7 cited

Inferring epistasis from genomic data with comparable mutation and outcrossing rate

Hong-Li Zeng, Eugenio Mauri, Vito Dichio +3

We consider a population evolving due to mutation, selection and recombination, where selection includes single-locus terms (additive fitness) and two-loci terms (pairwise epistati…

cs.LG2020

Gaussian Graphical Model exploration and selection in high dimension low sample size setting

Thomas Lartigue, Simona Bottani, Stephanie Baron +3

Gaussian Graphical Models (GGM) are often used to describe the conditional correlations between the components of a random vector. In this article, we compare two families of GGM i…