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Wissam Siblini
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2020 – today
- 2024
- [j6]Gian Marco Paldino
, Bertrand Lebichot, Yann-Aël Le Borgne, Wissam Siblini, Frédéric Oblé, Giacomo Boracchi, Gianluca Bontempi
The role of diversity and ensemble learning in credit card fraud detection. Adv. Data Anal. Classif. 18(1): 193-217 (2024) - [j5]Bertrand Lebichot
Assessment of catastrophic forgetting in continual credit card fraud detection. Expert Syst. Appl. 249: 123445 (2024) - [i7]Mathieu Ciancone, Imene Kerboua, Marion Schaeffer, Wissam Siblini:
Extending the Massive Text Embedding Benchmark to French. CoRR abs/2405.20468 (2024) - 2023
- [c15]Tarek Benkhelif, Wissam Siblini:
Résolution d'entités pour améliorer la qualité des données transactionnelles dans un système de santé. EGC 2023: 401-408 - 2022
- [j4]Wissam Siblini, Mohamed Challal
Efficient Open Domain Question Answering With Delayed Attention in Transformer-Based Models. Int. J. Data Warehous. Min. 18(2): 1-16 (2022) - [j3]Kanishka Ghosh Dastidar
NAG: neural feature aggregation framework for credit card fraud detection. Knowl. Inf. Syst. 64(3): 831-858 (2022) - [c14]Van Bach Nguyen, Kanishka Ghosh Dastidar, Michael Granitzer, Wissam Siblini:
The Importance of Future Information in Credit Card Fraud Detection. AISTATS 2022: 10067-10077 - [c13]Kanishka Ghosh Dastidar
Expressive and Intuitive Models for Automated Context Representation Learning in Credit-Card Fraud Detection. LOD (2) 2022: 154-168 - [i6]Van Bach Nguyen, Kanishka Ghosh Dastidar, Michael Granitzer, Wissam Siblini:
The Importance of Future Information in Credit Card Fraud Detection. CoRR abs/2204.05265 (2022) - 2021
- [j2]Bertrand Lebichot
Incremental learning strategies for credit cards fraud detection. Int. J. Data Sci. Anal. 12(2): 165-174 (2021) - [j1]Wissam Siblini
A Review on Dimensionality Reduction for Multi-Label Classification. IEEE Trans. Knowl. Data Eng. 33(3): 839-857 (2021) - [c12]Wissam Siblini, Baris Sayil, Yacine Kessaci:
Towards a more Robust Evaluation for Conversational Question Answering. ACL/IJCNLP (2) 2021: 1028-1034 - [c11]Wissam Siblini, Mohamed Challal, Charlotte Pasqual:
Interaction retardée dans l'encodeur du Transformer pour répondre efficacement aux questions dans un domaine ouvert. EGC 2021: 133-144 - [i5]Wissam Siblini, Guillaume Coter, Rémy Fabry, Liyun He-Guelton, Frédéric Oblé, Bertrand Lebichot, Yann-Aël Le Borgne, Gianluca Bontempi:
Transfer Learning for Credit Card Fraud Detection: A Journey from Research to Production. CoRR abs/2107.09323 (2021) - 2020
- [c10]Bertrand Lebichot, Gian Marco Paldino, Gianluca Bontempi
Incremental learning strategies for credit cards fraud detection: Extended abstract. DSAA 2020: 785-786 - [c9]Wissam Siblini, Charlotte Pasqual, Axel Lavielle, Cyril Cauchois:
Système de question-réponse multilingue appliqué aux agents conversationnels. EGC 2020: 333-340 - [c8]Kanishka Ghosh Dastidar, Johannes Jurgovsky, Wissam Siblini, Liyun He-Guelton, Michael Granitzer:
NAG: Neural feature aggregation framework for credit card fraud detection. ICDM 2020: 92-101 - [c7]Wissam Siblini
Master Your Metrics with Calibration. IDA 2020: 457-469 - [i4]Wissam Siblini, Mohamed Challal, Charlotte Pasqual:
Delaying Interaction Layers in Transformer-based Encoders for Efficient Open Domain Question Answering. CoRR abs/2010.08422 (2020)
2010 – 2019
- 2019
- [c6]Wissam Siblini, Frank Meyer, Pascale Kuntz:
CRAFTML, une forêt aléatoire efficace pour l'apprentissage multi-label extrême. EGC 2019: 383-388 - [c5]Ayman Alazizi, Amaury Habrard, François Jacquenet, Liyun He-Guelton, Frédéric Oblé, Wissam Siblini:
Anomaly Detection, Consider Your Dataset First An Illustration on Fraud Detection. ICTAI 2019: 1351-1355 - [c4]Wissam Siblini, Frank Meyer, Pascale Kuntz:
A Count-sketch to Reduce Memory Consumption when Training a Model with Gradient Descent. IJCNN 2019: 1-8 - [i3]Wissam Siblini, Jordan Fréry, Liyun He-Guelton, Frédéric Oblé, Yi-Qing Wang:
Master your Metrics with Calibration. CoRR abs/1909.02827 (2019) - [i2]Wissam Siblini, Charlotte Pasqual, Axel Lavielle, Cyril Cauchois:
Multilingual Question Answering from Formatted Text applied to Conversational Agents. CoRR abs/1910.04659 (2019) - 2018
- [b1]Wissam Siblini:
Apprentissage multi-label extrême: Comparaisons d'approches et nouvelles propositions. (Extreme multi-label learning: comparisons of approaches and new proposals). University of Nantes, France, 2018 - [c3]Wissam Siblini, Frank Meyer, Pascale Kuntz:
CRAFTML, an Efficient Clustering-based Random Forest for Extreme Multi-label Learning. ICML 2018: 4671-4680 - [i1]Wissam Siblini, Frank Meyer, Pascale Kuntz:
VIPE: A new interactive classification framework for large sets of short texts - application to opinion mining. CoRR abs/1803.02101 (2018) - 2017
- [c2]Frank Meyer, Sylvie Tricot, Pascale Kuntz, Wissam Siblini:
VIPE : un outil interactif de classification multilabel de messages courts. EGC 2017: 485-488 - [c1]Wissam Siblini, Réda Alami, Frank Meyer, Pascale Kuntz:
Supervised Feature Space Reduction for Multi-Label Nearest Neighbors. IEA/AIE (1) 2017: 182-191
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