172 citations · 265 across the 5 of their papers we have counts for
5 papers
A Regression Mixture Model to understand the effect of the Covid-19 pandemic on Public Transport Ridership
Hugues Moreau, Étienne Côme, Allou Samé +1
The Covid-19 pandemic drastically changed urban mobility, both during the height of the pandemic with government lockdowns, but also in the longer term with the adoption of working…
Forecasting of the Montreal Subway Smart Card Entry Logs with Event Data
Florian Toqué, Etienne Côme, Martin Trépanier +1
One of the major goals of transport operators is to adapt the transport supply scheduling to the passenger demand for existing transport networks during each specific period. Anoth…
Supervised learning of a regression model based on latent process. Application to the estimation of fuel cell life time
Raïssa Onanena, Faicel Chamroukhi, Latifa Oukhellou +3
This paper describes a pattern recognition approach aiming to estimate fuel cell duration time from electrochemical impedance spectroscopy measurements. It consists in first extrac…
An Unsupervised Approach for Automatic Activity Recognition based on Hidden Markov Model Regression
Dorra Trabelsi, Samer Mohammed, Faicel Chamroukhi +2
Using supervised machine learning approaches to recognize human activities from on-body wearable accelerometers generally requires a large amount of labelled data. When ground trut…
Joint segmentation of multivariate time series with hidden process regression for human activity recognition
Faicel Chamroukhi, Samer Mohammed, Dorra Trabelsi +2
The problem of human activity recognition is central for understanding and predicting the human behavior, in particular in a prospective of assistive services to humans, such as he…