Learning a confidence score and the latent space of a new supervised autoencoder for diagnosis and prognosis in clinical metabolomic studies. - David Chardin; Cyprien Gille; Thierry Pourcher; Olivier Humbert; Michel Barlaud (BMC Bioinform., 2022)

Semi-supervised classification using a supervised autoencoder for biomedical applications. - Cyprien Gille; Frédéric Guyard; Michel Barlaud (CoRR, 2022)

Thyroid Nodule Diagnosis Using a New Supervised Autoencoder Neural Network with ℓ 1,∞ Projection. - Grégoire D'Andrea; Cyprien Gille; Thierry Pourcher; Michel Barlaud (CIBB, 2023)

Learning Sparse auto-Encoders for Green AI image coding. - Cyprien Gille; Frédéric Guyard; Marc Antonini; Michel Barlaud (ICASSP, 2023)

A New Semi-Supervised Classification Method Using a Supervised Autoencoder for Biomedical Applications. - Cyprien Gille; Frédéric Guyard; Michel Barlaud (ICASSP, 2023)

Detecting subtle transcriptomic perturbations induced by lncRNAs knock-down in single-cell CRISPRi screening using a new sparse supervised autoencoder neural network. - Marin Truchi; Caroline Lacoux; Cyprien Gille; Julien Fassy; Virginie Magnone; Rafael Lopes Goncalves; Cédric Girard Riboulleau; Iris Manosalva-Pena; Marine Gautier-Isola; Kevin Lebrigand; Pascal Barbry; Salvatore Spicuglia; et al. (Frontiers Bioinform., 2024)