Bertrand Lebichot

According to our database, Bertrand Lebichot authored at least 25 papers between 2012 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

Sparse randomized policies for Markov decision processes based on Tsallis divergence regularization.

Pierre Leleux, Bertrand Lebichot, Guillaume Guex, Marco Saerens

Knowl. Based Syst., 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

2023

Evaluating the Impact of Text De-Identification on Downstream NLP Tasks.

Cedric Lothritz, Bertrand Lebichot, Kevin Allix, Saad Ezzini, Tegawendé F. Bissyandé, Jacques Klein, Andrey Boytsov, Clément Lefebvre, Anne Goujon

Proceedings of the 24th Nordic Conference on Computational Linguistics, 2023

2022

LuxemBERT: Simple and Practical Data Augmentation in Language Model Pre-Training for Luxembourgish.

Cedric Lothritz, Bertrand Lebichot, Kevin Allix, Lisa Veiber, Tegawendé F. Bissyandé, Jacques Klein, Andrey Boytsov, Clément Lefebvre, Anne Goujon

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

On the Suitability of SHAP Explanations for Refining Classifications.

Yusuf Arslan, Bertrand Lebichot, Kevin Allix, Lisa Veiber, Clément Lefebvre, Andrey Boytsov, Anne Goujon, Tegawendé F. Bissyandé, Jacques Klein

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

Towards Refined Classifications Driven by SHAP Explanations.

Yusuf Arslan, Bertrand Lebichot, Kevin Allix, Lisa Veiber, Clément Lefebvre, Andrey Boytsov, Anne Goujon, Tegawendé F. Bissyandé, Jacques Klein

Proceedings of the Machine Learning and Knowledge Extraction, 2022

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

Transfer Learning Strategies for Credit Card Fraud Detection.

Bertrand Lebichot, Théo Verhelst, Yann-Aël Le Borgne, Liyun He-Guelton, Frédéric Oblé, Gianluca Bontempi

IEEE Access, 2021

AST-MTL: An Attention-Based Multi-Task Learning Strategy for Traffic Forecasting.

Giovanni Buroni, Bertrand Lebichot, Gianluca Bontempi

IEEE Access, 2021

Comparing MultiLingual and Multiple MonoLingual Models for Intent Classification and Slot Filling.

Cedric Lothritz, Kevin Allix, Bertrand Lebichot, Lisa Veiber, Tegawendé F. Bissyandé, Jacques Klein

Proceedings of the Natural Language Processing and Information Systems, 2021

2020

An experimental study of graph-based semi-supervised classification with additional node information.

Bertrand Lebichot, Marco Saerens

Knowl. Inf. Syst., 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

Deep-Learning Domain Adaptation Techniques for Credit Cards Fraud Detection.

Bertrand Lebichot, Yann-Aël Le Borgne, Liyun He-Guelton, Frédéric Oblé, Gianluca Bontempi

Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

Graph-Based Fraud Detection with the Free Energy Distance.

Sylvain Courtain, Bertrand Lebichot, Ilkka Kivimäki, Marco Saerens

Proceedings of the Complex Networks and Their Applications VIII, 2019

Understanding Telecom Customer Churn with Machine Learning: From Prediction to Causal Inference.

Théo Verhelst, Olivier Caelen, Jean-Christophe Dewitte, Bertrand Lebichot, Gianluca Bontempi

Proceedings of the Artificial Intelligence and Machine Learning, 2019

2018

Network analysis based on bag-of-paths: classification, node criticality and randomized policies.

Bertrand Lebichot

PhD thesis, 2018

A bag-of-paths node criticality measure.

Bertrand Lebichot, Marco Saerens

Neurocomputing, 2018

A Constrained Randomized Shortest-Paths Framework for Optimal Exploration.

Bertrand Lebichot, Guillaume Guex, Ilkka Kivimäki, Marco Saerens

CoRR, 2018

2017

Improving Card Fraud Detection Through Suspicious Pattern Discovery.

Fabian Braun, Olivier Caelen, Evgueni N. Smirnov, Steven Kelk, Bertrand Lebichot

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

2016

A graph-based, semi-supervised, credit card fraud detection system.

Bertrand Lebichot, Fabian Braun, Olivier Caelen, Marco Saerens

Proceedings of the Complex Networks & Their Applications V - Proceedings of the 5th International Workshop on Complex Networks and their Applications (COMPLEX NETWORKS 2016), Milan, Italy, November 30, 2016

2015

Two betweenness centrality measures based on Randomized Shortest Paths.

Ilkka Kivimäki, Bertrand Lebichot, Jari Saramäki, Marco Saerens

CoRR, 2015

2014

Semisupervised Classification Through the Bag-of-Paths Group Betweenness.

Bertrand Lebichot, Ilkka Kivimäki, Kevin Françoisse, Marco Saerens

IEEE Trans. Neural Networks Learn. Syst., 2014

2012

Semi-Supervised Classification Through the Bag-of-Paths Group Betweenness

Bertrand Lebichot, Ilkka Kivimäki, Kevin Françoisse, Marco Saerens

CoRR, 2012