VIPE : un outil interactif de classification multilabel de messages courts. - Frank Meyer; Sylvie Tricot; Pascale Kuntz; Wissam Siblini (EGC, 2017)

Supervised Feature Space Reduction for Multi-Label Nearest Neighbors. - Wissam Siblini; Réda Alami; Frank Meyer; Pascale Kuntz (IEA/AIE (1), 2017)

CRAFTML, an Efficient Clustering-based Random Forest for Extreme Multi-label Learning. - Wissam Siblini; Frank Meyer; Pascale Kuntz (ICML, 2018)

VIPE: A new interactive classification framework for large sets of short texts - application to opinion mining. - Wissam Siblini; Frank Meyer; Pascale Kuntz (CoRR, 2018)

Apprentissage multi-label extrême: Comparaisons d'approches et nouvelles propositions. (Extreme multi-label learning: comparisons of approaches and new proposals). - Wissam Siblini (2018)

CRAFTML, une forêt aléatoire efficace pour l'apprentissage multi-label extrême. - Wissam Siblini; Frank Meyer; Pascale Kuntz (EGC, 2019)

Anomaly Detection, Consider Your Dataset First An Illustration on Fraud Detection. - Ayman Alazizi; Amaury Habrard; François Jacquenet; Liyun He-Guelton; Frédéric Oblé; Wissam Siblini (ICTAI, 2019)

A Count-sketch to Reduce Memory Consumption when Training a Model with Gradient Descent. - Wissam Siblini; Frank Meyer; Pascale Kuntz (IJCNN, 2019)

Multilingual Question Answering from Formatted Text applied to Conversational Agents. - Wissam Siblini; Charlotte Pasqual; Axel Lavielle; Cyril Cauchois (CoRR, 2019)

Incremental learning strategies for credit cards fraud detection: Extended abstract. - Bertrand Lebichot; Gian Marco Paldino; Gianluca Bontempi; Wissam Siblini; Liyun He-Guelton; Frédéric Oblé (DSAA, 2020)

Système de question-réponse multilingue appliqué aux agents conversationnels. - Wissam Siblini; Charlotte Pasqual; Axel Lavielle; Cyril Cauchois (EGC, 2020)

NAG: Neural feature aggregation framework for credit card fraud detection. - Kanishka Ghosh Dastidar; Johannes Jurgovsky; Wissam Siblini; Liyun He-Guelton; Michael Granitzer (ICDM, 2020)

Master Your Metrics with Calibration. - Wissam Siblini; Jordan Fréry; Liyun He-Guelton; Frédéric Oblé; Yi-Qing Wang (IDA, 2020)

Delaying Interaction Layers in Transformer-based Encoders for Efficient Open Domain Question Answering. - Wissam Siblini; Mohamed Challal; Charlotte Pasqual (CoRR, 2020)

Towards a more Robust Evaluation for Conversational Question Answering. - Wissam Siblini; Baris Sayil; Yacine Kessaci (ACL/IJCNLP (2), 2021)

Interaction retardée dans l'encodeur du Transformer pour répondre efficacement aux questions dans un domaine ouvert. - Wissam Siblini; Mohamed Challal; Charlotte Pasqual (EGC, 2021)

Transfer Learning for Credit Card Fraud Detection: A Journey from Research to Production. - Wissam Siblini; Guillaume Coter; Rémy Fabry; Liyun He-Guelton; Frédéric Oblé; Bertrand Lebichot; Yann-Aël Le Borgne; Gianluca Bontempi (CoRR, 2021)

Incremental learning strategies for credit cards fraud detection. - Bertrand Lebichot; Gian Marco Paldino; Wissam Siblini; Liyun He-Guelton; Frédéric Oblé; Gianluca Bontempi (Int. J. Data Sci. Anal., 2021)

A Review on Dimensionality Reduction for Multi-Label Classification. - Wissam Siblini; Pascale Kuntz; Frank Meyer (IEEE Trans. Knowl. Data Eng., 2021)

The Importance of Future Information in Credit Card Fraud Detection. - Van Bach Nguyen; Kanishka Ghosh Dastidar; Michael Granitzer; Wissam Siblini (AISTATS, 2022)

Expressive and Intuitive Models for Automated Context Representation Learning in Credit-Card Fraud Detection. - Kanishka Ghosh Dastidar; Wissam Siblini; Michael Granitzer (LOD (2), 2022)

Efficient Open Domain Question Answering With Delayed Attention in Transformer-Based Models. - Wissam Siblini; Mohamed Challal; Charlotte Pasqual (Int. J. Data Warehous. Min., 2022)

NAG: neural feature aggregation framework for credit card fraud detection. - Kanishka Ghosh Dastidar; Johannes Jurgovsky; Wissam Siblini; Michael Granitzer (Knowl. Inf. Syst., 2022)

Résolution d'entités pour améliorer la qualité des données transactionnelles dans un système de santé. - Tarek Benkhelif; Wissam Siblini (EGC, 2023)

Extending the Massive Text Embedding Benchmark to French. - Mathieu Ciancone; Imene Kerboua; Marion Schaeffer; Wissam Siblini (CoRR, 2024)

Assessment of catastrophic forgetting in continual credit card fraud detection. - Bertrand Lebichot; Wissam Siblini; Gian Marco Paldino; Yann-Aël Le Borgne; Frédéric Oblé; Gianluca Bontempi (Expert Syst. Appl., 2024)

The role of diversity and ensemble learning in credit card fraud detection. - Gian Marco Paldino; Bertrand Lebichot; Yann-Aël Le Borgne; Wissam Siblini; Frédéric Oblé; Giacomo Boracchi; Gianluca Bontempi (Adv. Data Anal. Classif., 2024)

MTEB-FR: une expérience à large échelle pour l'apprentissage de représentation en français. - Wissam Siblini; Mathieu Ciancone; Imene Kerboua; Marion Schaeffer (EGC, 2025)

MMTEB: Massive Multilingual Text Embedding Benchmark. - Kenneth C. Enevoldsen; Isaac Chung; Imene Kerboua; Márton Kardos; Ashwin Mathur; David Stap; Jay Gala; Wissam Siblini; Dominik Krzeminski; Genta Indra Winata; Saba Sturua; Saiteja Utpala; et al. (ICLR, 2025)

MMTEB: Massive Multilingual Text Embedding Benchmark. - Kenneth C. Enevoldsen; Isaac Chung; Imene Kerboua; Márton Kardos; Ashwin Mathur; David Stap; Jay Gala; Wissam Siblini; Dominik Krzeminski; Genta Indra Winata; Saba Sturua; Saiteja Utpala; et al. (CoRR, 2025)