Hubert J. Banville

According to our database, Hubert J. Banville authored at least 16 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Decoding individual words from non-invasive brain recordings across 723 participants.

Stéphane d'Ascoli, Corentin Bel, Jérémy Rapin, Hubert J. Banville, Yohann Benchetrit, Christophe Pallier, Jean-Rémi King

CoRR, 2024

Brain decoding: toward real-time reconstruction of visual perception.

Yohann Benchetrit, Hubert J. Banville, Jean-Remi King

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Aligning brain functions boosts the decoding of visual semantics in novel subjects.

Alexis Thual, Yohann Benchetrit, Felix Geilert, Jérémy Rapin, Iurii Makarov, Hubert J. Banville, Jean-Rémi King

CoRR, 2023

Automated Sleep Staging on Wearable EEG Enables Sleep Analysis at Scale.

Maurice Abou Jaoude, Aravind Ravi, Jiansheng Niu, Hubert J. Banville, Nicolas Florez Torres, Christopher Aimone

Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

2022

Enabling real-world EEG applications with deep learning. (Apprentissage profond pour la mise en application de l'EEG en conditions réelles).

Hubert J. Banville

PhD thesis, 2022

A reusable benchmark of brain-age prediction from M/EEG resting-state signals.

Denis A. Engemann, Apolline Mellot, Richard Höchenberger, Hubert J. Banville, David Sabbagh, Lukas Gemein, Tonio Ball, Alexandre Gramfort

NeuroImage, 2022

Robust learning from corrupted EEG with dynamic spatial filtering.

Hubert J. Banville, Sean U. N. Wood, Chris Aimone, Denis-Alexander Engemann, Alexandre Gramfort

NeuroImage, 2022

2021

Learning with self-supervision on EEG data.

Alexandre Gramfort, Hubert J. Banville, Omar Chehab, Aapo Hyvärinen, Denis A. Engemann

Proceedings of the 9th International Winter Conference on Brain-Computer Interface, 2021

2020

Uncovering the structure of clinical EEG signals with self-supervised learning.

Hubert J. Banville, Omar Chehab, Aapo Hyvärinen, Denis-Alexander Engemann, Alexandre Gramfort

CoRR, 2020

2019

Deep learning-based electroencephalography analysis: a systematic review.

Yannick Roy, Hubert J. Banville, Isabela Albuquerque, Alexandre Gramfort, Tiago H. Falk, Jocelyn Faubert

CoRR, 2019

Self-Supervised Representation Learning from Electroencephalography Signals.

Hubert J. Banville, Graeme Moffat, Isabela Albuquerque, Denis-Alexander Engemann, Aapo Hyvärinen, Alexandre Gramfort

Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

2017

Multimodal Physiological Quality-of-Experience Assessment of Text-to-Speech Systems.

Rishabh Gupta, Hubert J. Banville, Tiago H. Falk

IEEE J. Sel. Top. Signal Process., 2017

Mental Task Evaluation for Hybrid NIRS-EEG Brain-Computer Interfaces.

Hubert J. Banville, Rishabh Gupta, Tiago H. Falk

Comput. Intell. Neurosci., 2017

2016

Using affective brain-computer interfaces to characterize human influential factors for speech quality-of-experience perception modelling.

Rishabh Gupta, Khalil ur Rehman Laghari, Hubert J. Banville, Tiago H. Falk

Hum. centric Comput. Inf. Sci., 2016

2015

PhySyQX: A database for physiological evaluation of synthesised speech quality-of-experience.

Rishabh Gupta, Hubert J. Banville, Tiago H. Falk

Proceedings of the 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2015

MuLES: An Open Source EEG Acquisition and Streaming Server for Quick and Simple Prototyping and Recording.

Raymundo Cassani, Hubert J. Banville, Tiago H. Falk

Proceedings of the 20th International Conference on Intelligent User Interfaces Companion, 2015