Wissam Siblini

According to our database, Wissam Siblini authored at least 25 papers between 2017 and 2024.

Collaborative distances:

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

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., March, 2024

2023

Résolution d'entités pour améliorer la qualité des données transactionnelles dans un système de santé.

Tarek Benkhelif, Wissam Siblini

Proceedings of the Extraction et Gestion des Connaissances, 2023

2022

NAG: neural feature aggregation framework for credit card fraud detection.

Kanishka Ghosh Dastidar, Johannes Jurgovsky, Wissam Siblini, Michael Granitzer

Knowl. Inf. Syst., 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

Expressive and Intuitive Models for Automated Context Representation Learning in Credit-Card Fraud Detection.

Kanishka Ghosh Dastidar, Wissam Siblini, Michael Granitzer

Proceedings of the Machine Learning, Optimization, and Data Science, 2022

The Importance of Future Information in Credit Card Fraud Detection.

Van Bach Nguyen, Kanishka Ghosh Dastidar, Michael Granitzer, Wissam Siblini

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

A Review on Dimensionality Reduction for Multi-Label Classification.

Wissam Siblini, Pascale Kuntz, Frank Meyer

IEEE Trans. Knowl. Data Eng., 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

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

Interaction retardée dans l'encodeur du Transformer pour répondre efficacement aux questions dans un domaine ouvert.

Wissam Siblini, Mohamed Challal, Charlotte Pasqual

Proceedings of the Extraction et Gestion des Connaissances, 2021

Towards a more Robust Evaluation for Conversational Question Answering.

Wissam Siblini, Baris Sayil, Yacine Kessaci

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Delaying Interaction Layers in Transformer-based Encoders for Efficient Open Domain Question Answering.

Wissam Siblini, Mohamed Challal, Charlotte Pasqual

CoRR, 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

NAG: Neural feature aggregation framework for credit card fraud detection.

Kanishka Ghosh Dastidar, Johannes Jurgovsky, Wissam Siblini, Liyun He-Guelton, Michael Granitzer

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Système de question-réponse multilingue appliqué aux agents conversationnels.

Wissam Siblini, Charlotte Pasqual, Axel Lavielle, Cyril Cauchois

Proceedings of the Extraction et Gestion des Connaissances, 2020

Incremental learning strategies for credit cards fraud detection: Extended abstract.

Bertrand Lebichot, Gian Marco Paldino, Gianluca Bontempi, Wissam Siblini, Liyun He-Guelton, Frédéric Oblé

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

2019

Multilingual Question Answering from Formatted Text applied to Conversational Agents.

Wissam Siblini, Charlotte Pasqual, Axel Lavielle, Cyril Cauchois

CoRR, 2019

A Count-sketch to Reduce Memory Consumption when Training a Model with Gradient Descent.

Wissam Siblini, Frank Meyer, Pascale Kuntz

Proceedings of the International Joint Conference on Neural Networks, 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

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

CRAFTML, une forêt aléatoire efficace pour l'apprentissage multi-label extrême.

Wissam Siblini, Frank Meyer, Pascale Kuntz

Proceedings of the Extraction et Gestion des connaissances, 2019

2018

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

Wissam Siblini

PhD thesis, 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

CRAFTML, an Efficient Clustering-based Random Forest for Extreme Multi-label Learning.

Wissam Siblini, Frank Meyer, Pascale Kuntz

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Supervised Feature Space Reduction for Multi-Label Nearest Neighbors.

Wissam Siblini, Réda Alami, Frank Meyer, Pascale Kuntz

Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

VIPE : un outil interactif de classification multilabel de messages courts.

Frank Meyer, Sylvie Tricot, Pascale Kuntz, Wissam Siblini

Proceedings of the 17ème Journées Francophones Extraction et Gestion des Connaissances, 2017