19 citations · 31 across the 8 of their papers we have counts for
9 papers
Modular Neural Network Approaches for Surgical Image Recognition
Nosseiba Ben Salem, Younes Bennani, Joseph Karkazan +3
Deep learning-based applications have seen a lot of success in recent years. Text, audio, image, and video have all been explored with great success using deep learning approaches.…
On the use of Wasserstein metric in topological clustering of distributional data
Guénaël Cabanes, Younès Bennani, Rosanna Verde +1
This paper deals with a clustering algorithm for histogram data based on a Self-Organizing Map (SOM) learning. It combines a dimension reduction by SOM and the clustering of the da…
Selective information exchange in collaborative clustering using regularized Optimal Transport
Fatima Ezzahraa Ben Bouazza, Younès Bennani
Collaborative learning has recently achieved very significant results. It still suffers, however, from several issues, including the type of information that needs to be exchanged,…
Regularized Optimal Transport for Dynamic Semi-supervised Learning
Mourad El Hamri, Younès Bennani
Semi-supervised learning provides an effective paradigm for leveraging unlabeled data to improve a model's performance. Among the many strategies proposed, graph-based methods have…
Unsupervised collaborative learning using privileged information
Yohan Foucade, Younès Bennani
In the collaborative clustering framework, the hope is that by combining several clustering solutions, each one with its own bias and imperfections, one will get a better overall s…
A survey on domain adaptation theory: learning bounds and theoretical guarantees
Ievgen Redko, Emilie Morvant, Amaury Habrard +2
All famous machine learning algorithms that comprise both supervised and semi-supervised learning work well only under a common assumption: the training and test data follow the sa…