Thomas Vincent

On the Importance of Attention in Meta-Learning for Few-Shot Text Classification

Current deep learning based text classification methods are limited by their ability to achieve fast learning and generalization when the data is scarce. We address this problem by integrating a...

Sensitivity analysis of parcellation in the joint detection-estimation of brain activity in fMRI

Adaptive experimental condition selection in event-related fMRI

Improved fMRI group studies based on spatially varying non-parametric BOLD signal modeling

Impact of the joint detection-estimation approach on random effects group studies in FMRI

Multi-session extension of the joint-detection framework in fMRI

Variational variable selection to assess experimental condition relevance in event-related fMRI

Survey of compressed domain audio features and their expressiveness

Photo-shoot localization of a mobile camera based on registered frame data of virtualized reality models

Mixed Reality Navigation on a Tablet Computer for Supporting Machine Maintenance in Wide-Area Indoor Environment

Physiologically Informed Bayesian Analysis of ASL fMRI Data

Precise Pointing Techniques for Handheld Augmented Reality

Bayesian bold and perfusion source separation and deconvolution from functional ASL imaging

Modelling the neurovascular habituation effect on fMRI time series

Spatial Mixture Modelling for the Joint Detection-Estimation of Brain Activity in fMRI

Hemodynamically informed parcellation of cerebral FMRI data

Robust voxel-wise joint detection estimation of brain activity in fMRI

Fast bilinear extrapolation of 3D ising field partition function. application to fMRI image analysis