19 citations · 47 across the 14 of their papers we have counts for
3 papers · 1 filter
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…
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…
Breaking Batch Normalization for better explainability of Deep Neural Networks through Layer-wise Relevance Propagation
Mathilde Guillemot, Catherine Heusele, Rodolphe Korichi +2
The lack of transparency of neural networks stays a major break for their use. The Layerwise Relevance Propagation technique builds heat-maps representing the relevance of each inp…