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ARAMIS: Algorithmes, modèles et méthodes pour les images et les signaux du cerveau humain sain et pathologique

France

2 papers here105 citations across 2
fields
  • q-bio.NC1
  • stat.ML1
ROR 02wpx0e31OpenAlex

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most citedData Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder

103 citations

researchers with a paper here
  • Charley Presigny1 · h 3
  • F. de Vico Fallani1 · h 25
collaborating institutions
  • Institut des Sciences MoléculairesFR1 paper
  • Institut du CerveauFR1 paper

2 papers

q-bio.NC2021★ 2 cited

Multiscale modeling of brain network organization

Charley Presigny, Fabrizio De Vico Fallani

A complete understanding of the brain requires an integrated description of the numerous scales of neural organization. It means studying the interplay of genes, synapses, and even…

stat.ML2021★ 103 cited

Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder

Clément Chadebec, Elina Thibeau-Sutre, Ninon Burgos +1

In this paper, we propose a new method to perform data augmentation in a reliable way in the High Dimensional Low Sample Size (HDLSS) setting using a geometry-based variational aut…

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