2024
Recent advances in text embedding: A Comprehensive Review of Top-Performing Methods on the MTEB Benchmark.
CoRR, 2024

2023
Towards more sustainable enterprise data and application management with cross silo Federated Learning and Analytics.
CoRR, 2023

Inclusive normalization of face images to passport format.
Proceedings of the International Joint Conference on Neural Networks, 2023

Multi-View User Representation Learning for User Matching Without Personal Information.
Proceedings of the International Joint Conference on Neural Networks, 2023

2021
Destination similarity based on implicit user interest.
CoRR, 2021

2020
Random Forest for Dissimilarity-based Multi-view Learning.
CoRR, 2020

A Novel Random Forest Dissimilarity Measure for Multi-View Learning.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Random forest for dissimilarity based multi-view learning: application to radiomics. (Forêt aléatoire pour l'apprentissage multi-vues basé sur la dissimilarité: Application à la Radiomique).
PhD thesis, 2019

Random forest dissimilarity based multi-view learning for Radiomics application.
Pattern Recognit., 2019

2018
Dissimilarity-based representation for radiomics applications.
CoRR, 2018

Dynamic Voting in Multi-view Learning for Radiomics Applications.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

Improve the Performance of Transfer Learning Without Fine-Tuning Using Dissimilarity-Based Multi-view Learning for Breast Cancer Histology Images.
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

2015
Re-typograph phase I: a proof-of-concept for typeface parameter extraction from historical documents.
Proceedings of the Document Recognition and Retrieval XXII, 2015