Bertrand Lebichot
Bertrand Lebichot
Universite of Luxembourg
Verified email at - Homepage
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), 1-15, 2016
A graph-based, semi-supervised, credit card fraud detection system
B Lebichot, F Braun, O Caelen, M Saerens
Complex Networks & Their Applications V: Proceedings of the 5th …, 2017
Incremental learning strategies for credit cards fraud detection
B Lebichot, GM Paldino, G Bontempi, W Siblini, L He-Guelton, F Oblé
2020 IEEE 7th international conference on data science and advanced …, 2020
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
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
Reproducible Machine Learning for Credit Card Fraud Detection-Practical Handbook. Université Libre de Bruxelles (2022)
YA Le Borgne, W Siblini, B Lebichot, G Bontempi
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
A bag-of-paths node criticality measure
B Lebichot, M Saerens
Neurocomputing 275, 224-236, 2018
A constrained randomized shortest-paths framework for optimal exploration
B Lebichot, G Guex, I Kivimäki, M Saerens
arXiv preprint arXiv:1807.04551, 2018
Stochastic constraint propagation for mining probabilistic networks
ALD Latour, B Babaki, S Nijssen, K Beuls, B Bogaerts, G Bontempi, ...
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC …, 2019
Transfer learning strategies for credit card fraud detection
B Lebichot, T Verhelst, YA Le Borgne, L He-Guelton, F Oblé, G Bontempi
IEEE access 9, 114754-114766, 2021
Comparing multilingual and multiple monolingual models for intent classification and slot filling
C Lothritz, K Allix, B Lebichot, L Veiber, TF Bissyandé, J Klein
Natural Language Processing and Information Systems: 26th International …, 2021
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
On the suitability of SHAP explanations for refining classifications
Y Arslan, B Lebichot, K Allix, L Veiber, C Lefebvre, A Boytsov, A Goujon, ...
In Proceedings of the 14th International Conference on Agents and Artificial …, 2022
Network analysis based on bag-of-paths: classification, node criticality and randomized policies.
B Lebichot
Catholic University of Louvain, Louvain-la-Neuve, Belgium, 2018
Transfer learning for credit card fraud detection: A journey from research to production
W Siblini, G Coter, R Fabry, L He-Guelton, F Oblé, B Lebichot, ...
arXiv preprint arXiv:2107.09323, 2021
Artificial Intelligence and Machine Learning
B Bogaerts, G Bontempi, P Geurts, N Harley, B Lebichot, T Lenaerts, ...
Modelling Mutually Interactive Fictional Character Conversational Agents.
T Winters
The system can't perform the operation now. Try again later.
Articles 1–20