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2020 – today
- 2024
[j9]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)- [j8]Bertrand Lebichot, Wissam Siblini, Gian Marco Paldino, Yann-Aël Le Borgne, Frédéric Oblé, Gianluca Bontempi:
Assessment of catastrophic forgetting in continual credit card fraud detection. Expert Syst. Appl. 249: 123445 (2024) - [j7]Pierre Leleux, Bertrand Lebichot, Guillaume Guex, Marco Saerens:
Sparse randomized policies for Markov decision processes based on Tsallis divergence regularization. Knowl. Based Syst. 300: 112105 (2024) - 2023
- [c12]Cedric Lothritz, Bertrand Lebichot, Kevin Allix, Saad Ezzini, Tegawendé F. Bissyandé, Jacques Klein, Andrey Boytsov, Clément Lefebvre, Anne Goujon:
Evaluating the Impact of Text De-Identification on Downstream NLP Tasks. NoDaLiDa 2023: 10-16 - 2022
- [c11]Yusuf Arslan, Bertrand Lebichot, Kevin Allix, Lisa Veiber, Clément Lefebvre, Andrey Boytsov, Anne Goujon, Tegawendé F. Bissyandé, Jacques Klein:
Towards Refined Classifications Driven by SHAP Explanations. CD-MAKE 2022: 68-81 - [c10]Yusuf Arslan, Bertrand Lebichot, Kevin Allix, Lisa Veiber, Clément Lefebvre, Andrey Boytsov, Anne Goujon, Tegawendé F. Bissyandé, Jacques Klein:
On the Suitability of SHAP Explanations for Refining Classifications. ICAART (3) 2022: 395-402 - [c9]Cedric Lothritz, Bertrand Lebichot, Kevin Allix, Lisa Veiber, Tegawendé F. Bissyandé, Jacques Klein, Andrey Boytsov, Clément Lefebvre, Anne Goujon:
LuxemBERT: Simple and Practical Data Augmentation in Language Model Pre-Training for Luxembourgish. LREC 2022: 5080-5089 - 2021
- [j6]Giovanni Buroni, Bertrand Lebichot, Gianluca Bontempi:
AST-MTL: An Attention-Based Multi-Task Learning Strategy for Traffic Forecasting. IEEE Access 9: 77359-77370 (2021) - [j5]Bertrand Lebichot, Théo Verhelst, Yann-Aël Le Borgne, Liyun He-Guelton, Frédéric Oblé, Gianluca Bontempi:
Transfer Learning Strategies for Credit Card Fraud Detection. IEEE Access 9: 114754-114766 (2021) - [j4]Bertrand Lebichot, Gian Marco Paldino, Wissam Siblini, Liyun He-Guelton, Frédéric Oblé, Gianluca Bontempi:
Incremental learning strategies for credit cards fraud detection. Int. J. Data Sci. Anal. 12(2): 165-174 (2021) - [c8]Cedric Lothritz, Kevin Allix, Bertrand Lebichot, Lisa Veiber, Tegawendé F. Bissyandé, Jacques Klein:
Comparing MultiLingual and Multiple MonoLingual Models for Intent Classification and Slot Filling. NLDB 2021: 367-375 - [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
- [j3]Bertrand Lebichot, Marco Saerens:
An experimental study of graph-based semi-supervised classification with additional node information. Knowl. Inf. Syst. 62(11): 4337-4371 (2020) - [c7]Bertrand Lebichot, Gian Marco Paldino, Gianluca Bontempi, Wissam Siblini, Liyun He-Guelton, Frédéric Oblé:
Incremental learning strategies for credit cards fraud detection: Extended abstract. DSAA 2020: 785-786 - [e2]Bart Bogaerts, Gianluca Bontempi, Pierre Geurts, Nick Harley, Bertrand Lebichot, Tom Lenaerts, Gilles Louppe:
Artificial Intelligence and Machine Learning - 31st Benelux AI Conference, BNAIC 2019, and 28th Belgian-Dutch Machine Learning Conference, BENELEARN 2019, Brussels, Belgium, November 6-8, 2019, Revised Selected Papers. Communications in Computer and Information Science 1196, Springer 2020, ISBN 978-3-030-65153-4 [contents]
2010 – 2019
- 2019
- [c6]Théo Verhelst, Olivier Caelen, Jean-Christophe Dewitte, Bertrand Lebichot, Gianluca Bontempi:
Understanding Telecom Customer Churn with Machine Learning: From Prediction to Causal Inference. BNAIC/BENELEARN 2019 - [c5]Théo Verhelst, Olivier Caelen, Jean-Christophe Dewitte, Bertrand Lebichot, Gianluca Bontempi:
Understanding Telecom Customer Churn with Machine Learning: From Prediction to Causal Inference. BNAIC/BENELEARN (Selected Papers) 2019: 182-200 - [c4]Sylvain Courtain, Bertrand Lebichot, Ilkka Kivimäki, Marco Saerens:
Graph-Based Fraud Detection with the Free Energy Distance. COMPLEX NETWORKS (2) 2019: 40-52 - [c3]Bertrand Lebichot, Yann-Aël Le Borgne, Liyun He-Guelton, Frédéric Oblé, Gianluca Bontempi:
Deep-Learning Domain Adaptation Techniques for Credit Cards Fraud Detection. INNSBDDL 2019: 78-88 - [e1]Katrien Beuls, Bart Bogaerts, Gianluca Bontempi, Pierre Geurts, Nick Harley, Bertrand Lebichot, Tom Lenaerts, Gilles Louppe, Paul Van Eecke:
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), Brussels, Belgium, November 6-8, 2019. CEUR Workshop Proceedings 2491, CEUR-WS.org 2019 [contents] - 2018
- [b1]Bertrand Lebichot:
Network analysis based on bag-of-paths: classification, node criticality and randomized policies. Catholic University of Louvain, Louvain-la-Neuve, Belgium, 2018 - [j2]Bertrand Lebichot, Marco Saerens:
A bag-of-paths node criticality measure. Neurocomputing 275: 224-236 (2018) - [i4]Bertrand Lebichot, Guillaume Guex, Ilkka Kivimäki, Marco Saerens:
A Constrained Randomized Shortest-Paths Framework for Optimal Exploration. CoRR abs/1807.04551 (2018) - 2017
- [c2]Fabian Braun, Olivier Caelen, Evgueni N. Smirnov, Steven Kelk, Bertrand Lebichot:
Improving Card Fraud Detection Through Suspicious Pattern Discovery. IEA/AIE (2) 2017: 181-190 - [i3]Bertrand Lebichot, Marco Saerens:
A Bag-of-Paths Node Criticality Measure. CoRR abs/1705.08720 (2017) - 2016
- [c1]Bertrand Lebichot, Fabian Braun, Olivier Caelen, Marco Saerens:
A graph-based, semi-supervised, credit card fraud detection system. COMPLEX NETWORKS 2016: 721-733 - 2015
- [i2]Ilkka Kivimäki, Bertrand Lebichot, Jari Saramäki, Marco Saerens:
Two betweenness centrality measures based on Randomized Shortest Paths. CoRR abs/1509.03147 (2015) - 2014
- [j1]Bertrand Lebichot, Ilkka Kivimäki, Kevin Françoisse, Marco Saerens:
Semisupervised Classification Through the Bag-of-Paths Group Betweenness. IEEE Trans. Neural Networks Learn. Syst. 25(6): 1173-1186 (2014) - 2012
- [i1]Bertrand Lebichot, Ilkka Kivimäki, Kevin Françoisse, Marco Saerens:
Semi-Supervised Classification Through the Bag-of-Paths Group Betweenness. CoRR abs/1210.4276 (2012)
Coauthor Index
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last updated on 2024-08-07 21:29 CEST by the dblp team
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