Recent advances in text embedding: A Comprehensive Review of Top-Performing Methods on the MTEB Benchmark.
CoRR, 2024
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
Destination similarity based on implicit user interest.
CoRR, 2021
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
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
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
Re-typograph phase I: a proof-of-concept for typeface parameter extraction from historical documents.
Proceedings of the Document Recognition and Retrieval XXII, 2015