Myriam Bontonou - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 6 from 6

2021

Leveraging data structure to learn from few examples: applications to computer vision and neuroimaging. (Exploiter la structure des données pour apprendre à partir de quelques exemples : applications à la vision assistée par ordinateur et à la neuro-imagerie)Myriam Bontonou. PhD thesis, IMT Atlantique Bretagne Pays de la Loire, Brest, France, 2021. [doi]

Few-Shot Decoding of Brain Activation MapsMyriam Bontonou, Giulia Lioi, Nicolas Farrugia, Vincent Gripon. eusipco 2021: 1326-1330 [doi]

Similarity between Base and Novel Classes: a Predictor of the Performance in Few-Shot Classification of Brain Activation Maps?Myriam Bontonou, Nicolas Farrugia, Vincent Gripon. acssc 2021: 1288-1291 [doi]

Predicting the Generalization Ability of a Few-Shot ClassifierMyriam Bontonou, Louis Béthune, Vincent Gripon. information, 12(1):29, 2021. [doi]

2020

Deep Geometric Knowledge Distillation with GraphsCarlos Lassance, Myriam Bontonou, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega. icassp 2020: 8484-8488 [doi]

2019

Introducing Graph Smoothness Loss for Training Deep Learning ArchitecturesMyriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega. dsw 2019: 160-164 [doi]

Sign in or sign up to see more results.

runs on WebDSL