2 citations · 3 across the 5 of their papers we have counts for
5 papers
Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial Images
Pierre Le Jeune, Mustapha Lebbah, Anissa Mokraoui +1
This paper proposes a few-shot method based on Faster R-CNN and representation learning for object detection in aerial images. The two classification branches of Faster R-CNN are r…
Multi-Slice Clustering for 3-order Tensor Data
Dina Faneva Andriantsiory, Joseph Ben Geloun, Mustapha Lebbah
Several methods of triclustering of three dimensional data require the specification of the cluster size in each dimension. This introduces a certain degree of arbitrariness. To ad…
A Survey and Implementation of Performance Metrics for Self-Organized Maps
Florent Forest, Mustapha Lebbah, Hanane Azzag +1
Self-Organizing Map algorithms have been used for almost 40 years across various application domains such as biology, geology, healthcare, industry and humanities as an interpretab…
Conditional Latent Block Model: a Multivariate Time Series Clustering Approach for Autonomous Driving Validation
Etienne Goffinet, Anthony Coutant, Mustapha Lebbah +2
Autonomous driving systems validation remains one of the biggest challenges car manufacturers must tackle in order to provide safe driverless cars. The high complexity stems from s…
Algorithms for an Efficient Tensor Biclustering
Andriantsiory Dina Faneva, Mustapha Lebbah, Hanane Azzag +1
Consider a data set collected by (individuals-features) pairs in different times. It can be represented as a tensor of three dimensions (Individuals, features and times). The tenso…