Bertrand Lebichot
Bertrand Lebichot
Universite of Luxembourg
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Cited by
Cited by
Deep-learning domain adaptation techniques for credit cards fraud detection
B Lebichot, YA Le Borgne, L He-Guelton, F Oblé, G Bontempi
Recent Advances in Big Data and Deep Learning: Proceedings of the INNS Big …, 2020
Two betweenness centrality measures based on randomized shortest paths
I Kivimäki, B Lebichot, J Saramäki, M Saerens
Scientific reports 6 (1), 19668, 2016
A graph-based, semi-supervised, credit card fraud detection system
B Lebichot, F Braun, O Caelen, M Saerens
International Workshop on Complex Networks and their Applications, 721-733, 2016
Incremental learning strategies for credit cards fraud detection
B Lebichot, GM Paldino, W Siblini, L He-Guelton, F Oblé, G Bontempi
International Journal of Data Science and Analytics 12 (2), 165-174, 2021
Improving card fraud detection through suspicious pattern discovery
F Braun, O Caelen, EN Smirnov, S Kelk, B Lebichot
Advances in Artificial Intelligence: From Theory to Practice: 30th …, 2017
Reproducible machine learning for credit card fraud detection-practical handbook
YA Le Borgne, W Siblini, B Lebichot, G Bontempi
Université Libre de Bruxelles, 2022
Transfer learning strategies for credit card fraud detection
B Lebichot, T Verhelst, YA Le Borgne, L He-Guelton, F Oble, G Bontempi
IEEE access 9, 114754-114766, 2021
Semisupervised classification through the bag-of-paths group betweenness
B Lebichot, I Kivimäki, K Françoisse, M Saerens
IEEE Transactions on Neural Networks and Learning Systems 25 (6), 1173-1186, 2013
AST-MTL: an attention-based multi-task learning strategy for traffic forecasting
G Buroni, B Lebichot, G Bontempi
IEEE access 9, 77359-77370, 2021
Graph-based fraud detection with the free energy distance
S Courtain, B Lebichot, I Kivimäki, M Saerens
Complex Networks and Their Applications VIII: Volume 2 Proceedings of the …, 2020
Towards refined classifications driven by shap explanations
Y Arslan, B Lebichot, K Allix, L Veiber, C Lefebvre, A Boytsov, A Goujon, ...
International Cross-Domain Conference for Machine Learning and Knowledge …, 2022
A bag-of-paths node criticality measure
B Lebichot, M Saerens
Neurocomputing 275, 224-236, 2018
Reproducible Machine Learning for Credit Card Fraud Detection-Practical Handbook. Université Libre de Bruxelles (2022)
YA Le Borgne, W Siblini, B Lebichot, G Bontempi
Comparing multilingual and multiple monolingual models for intent classification and slot filling
C Lothritz, K Allix, B Lebichot, L Veiber, TF Bissyandé, J Klein
International Conference on Applications of Natural Language to Information …, 2021
A constrained randomized shortest-paths framework for optimal exploration
B Lebichot, G Guex, I Kivimäki, M Saerens
arXiv preprint arXiv:1807.04551, 2018
Luxembert: Simple and practical data augmentation in language model pre-training for luxembourgish
C Lothritz, B Lebichot, K Allix, L Veiber, TFDA Bissyande, J Klein, ...
Proceedings of the Language Resources and Evaluation Conference, 2022, 5080-5089, 2022
An experimental study of graph-based semi-supervised classification with additional node information
B Lebichot, M Saerens
Knowledge and Information Systems 62 (11), 4337-4371, 2020
Stochastic Constraint Propagation for Mining Probabilistic Networks.
ALD Latour, B Babaki, S Nijssen
The role of diversity and ensemble learning in credit card fraud detection
GM Paldino, B Lebichot, YA Le Borgne, W Siblini, F Oblé, G Boracchi, ...
Advances in Data Analysis and Classification 18 (1), 193-217, 2024
Modelling mutually interactive fictional character conversational agents
T Winters
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC …, 2019
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