Jordan Fréry

According to our database, Jordan Fréry authored at least 13 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Neural Network Training on Encrypted Data with TFHE.

Luis Montero, Jordan Fréry, Celia Kherfallah, Roman Bredehoft, Andrei Stoian

CoRR, 2024

2023

Deep Neural Networks for Encrypted Inference with TFHE.

Andrei Stoian, Jordan Fréry, Roman Bredehoft, Luis Montero, Celia Kherfallah, Benoît Chevallier-Mames

IACR Cryptol. ePrint Arch., 2023

Privacy-Preserving Tree-Based Inference with Fully Homomorphic Encryption.

Jordan Fréry, Andrei Stoian, Roman Bredehoft, Luis Montero, Celia Kherfallah, Benoît Chevallier-Mames, Arthur Meyre

IACR Cryptol. ePrint Arch., 2023

Privacy-Preserving Tree-Based Inference with TFHE.

Jordan Fréry, Andrei Stoian, Roman Bredehoft, Luis Montero, Celia Kherfallah, Benoît Chevallier-Mames, Arthur Meyre

Proceedings of the Mobile, Secure, and Programmable Networking, 2023

2020

Master Your Metrics with Calibration.

Wissam Siblini, Jordan Fréry, Liyun He-Guelton, Frédéric Oblé, Yi-Qing Wang

Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

2019

Ensemble Learning for Extremely Imbalced Data Flows. (Apprentissage Ensembliste sur des flux de données extrêmement déséquilibrés).

Jordan Fréry

PhD thesis, 2019

2018

Non-Linear Gradient Boosting for Class-Imbalance Learning.

Jordan Fréry, Amaury Habrard, Marc Sebban, Liyun He-Guelton

Proceedings of the Second International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2018

Online Non-linear Gradient Boosting in Multi-latent Spaces.

Jordan Fréry, Amaury Habrard, Marc Sebban, Olivier Caelen, Liyun He-Guelton

Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

2017

Efficient Top Rank Optimization with Gradient Boosting for Supervised Anomaly Detection.

Jordan Fréry, Amaury Habrard, Marc Sebban, Olivier Caelen, Liyun He-Guelton

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Modèles de représentation textuels et méthodes d'apprentissage adaptés à l'identification d'auteurs.

Christine Largeron, Jordan Fréry, Mihaela Juganaru-Mathieu

Proceedings of the Actes des 13èmes journées francophones sur les Entrepôts de Données et l'Analyse en Ligne, 2017

2015

Author identification by automatic learning.

Jordan Fréry, Christine Largeron, Mihaela Juganaru-Mathieu

Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015

Identification d'auteurs par apprentissage automatique.

Jordan Fréry, Christine Largeron, Mihaela Juganaru-Mathieu

Proceedings of the 15èmes Journées Francophones Extraction et Gestion des Connaissances, 2015

2014

UJM at CLEF in Author Identification Notebook for PAN at CLEF 2014.

Jordan Fréry, Christine Largeron, Mihaela Juganaru-Mathieu

Proceedings of the Working Notes for CLEF 2014 Conference, 2014