19 citations · 21 across the 3 of their papers we have counts for
4 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…
When Neural Networks Using Different Sensors Create Similar Features
Hugues Moreau, Andréa Vassilev, Liming Chen
Multimodal problems are omnipresent in the real world: autonomous driving, robotic grasping, scene understanding, etc... We draw from the well-developed analysis of similarity to p…
The Devil Is in the Details: An Efficient Convolutional Neural Network for Transport Mode Detection
Hugues Moreau, Andréa Vassilev, Liming Chen
Transport mode detection is a classification problem aiming to design an algorithm that can infer the transport mode of a user given multimodal signals (GPS and/or inertial sensors…
Data Fusion for Deep Learning on Transport Mode Detection: A Case Study
Hugues Moreau, Andréa Vassilev, Liming Chen
In Transport Mode Detection, a great diversity of methodologies exist according to the choice made on sensors, preprocessing, model used, etc. In this domain, the comparisons betwe…