288 citations · 453 across the 42 of their papers we have counts for
4 papers · 1 filter
Transformers for 1D Signals in Parkinson's Disease Detection from Gait
Duc Minh Dimitri Nguyen, Mehdi Miah, Guillaume-Alexandre Bilodeau +1
This paper focuses on the detection of Parkinson's disease based on the analysis of a patient's gait. The growing popularity and success of Transformer networks in natural language…
Deep 1D-Convnet for accurate Parkinson disease detection and severity prediction from gait
Imanne El Maachi, Guillaume-Alexandre Bilodeau, Wassim Bouachir
Diagnosing Parkinson's disease is a complex task that requires the evaluation of several motor and non-motor symptoms. During diagnosis, gait abnormalities are among the important…
Adversarially Learned Abnormal Trajectory Classifier
Pankaj Raj Roy, Guillaume-Alexandre Bilodeau
We address the problem of abnormal event detection from trajectory data. In this paper, a new adversarial approach is proposed for building a deep neural network binary classifier,…
Discriminative conditional restricted Boltzmann machine for discrete choice and latent variable modelling
Melvin Wong, Bilal Farooq, Guillaume-Alexandre Bilodeau
Conventional methods of estimating latent behaviour generally use attitudinal questions which are subjective and these survey questions may not always be available. We hypothesize…