Jérôme Fink

According to our database, Jérôme Fink authored at least 13 papers between 2019 and 2026.

Collaborative distances:

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

2026

SSL-SLR: Self-Supervised Representation Learning for Sign Language Recognition.

Ariel Basso Madjoukeng, Jérôme Fink, Pierre Poitier, Edith Belise Kenmogne, Benoît Frénay

Trans. Mach. Learn. Res., 2026

2025

SL-SLR: Self-Supervised Representation Learning for Sign Language Recognition.

Ariel Basso Madjoukeng, Jérôme Fink, Pierre Poitier, Edith Belise Kenmogne, Benoît Frénay

CoRR, September, 2025

Local-Global Data Augmentation for Contrastive Learning in Static Sign Language Recognition.

Ariel Basso Madjoukeng, Edith Belise Kenmogne, Pierre Poitier, Benoît Frénay, Jérôme Fink

Proceedings of the Advances in Intelligent Data Analysis XXIII, 2025

Benchmarking Data Augmentation for Contrastive Learning in Static Sign Language Recognition.

Ariel Basso Madjoukeng, Jérôme Fink, Pierre Poitier, Edith Belise Kenmogne, Benoît Frénay

Proceedings of the 33rd European Symposium on Artificial Neural Networks, 2025

2024

Leveraging endoscopic data with Contrastive Learning for Crohn's disease detection.

Robin Ghyselinck, Jérôme Fink, Bruno Dumas, Benoît Frénay

Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024

Automated Risk Assessment of Shell-Based Attacks Using a LLM.

Sereysethy Touch, Jérôme Fink, Jean-Noël Colin

Proceedings of the Risks and Security of Internet and Systems, 2024

2023

Sign Language-to-Text Dictionary with Lightweight Transformer Models.

Jérôme Fink, Pierre Poitier, Maxime André, Loup Meurice, Benoît Frénay, Anthony Cleve, Bruno Dumas, Laurence Meurant

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Trends and Challenges for Sign Language Recognition with Machine Learning.

Jérôme Fink, Mathieu De Coster, Joni Dambre, Benoît Frénay

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

2022

Towards Better Transition Modeling in Recurrent Neural Networks: the Case of Sign Language Tokenization.

Pierre Poitier, Jérôme Fink, Benoît Frénay

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2021

Supporting policy-making with social media and e-participation platforms data: A policy analytics framework.

Anthony Simonofski, Jérôme Fink, Corentin Burnay

Gov. Inf. Q., 2021

LSFB-CONT and LSFB-ISOL: Two New Datasets for Vision-Based Sign Language Recognition.

Jérôme Fink, Benoît Frénay, Laurence Meurant, Anthony Cleve

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Adapting Queries to Database Schema Changes in Hybrid Polystores.

Jérôme Fink, Maxime Gobert, Anthony Cleve

Proceedings of the 20th IEEE International Working Conference on Source Code Analysis and Manipulation, 2020

2019

Deep Learning Applied to Sign Language.

Jérôme Fink, Anthony Cleve, Benoît Frénay

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019