Ouvrages édités à titre de seul éditeur ou en collaboration (1)
  1. 1. Bogaerts, B., Bontempi, G., Geurts, P., Harley, N., Lebichot, B., Lenaerts, T., & Louppe, G. (2021). 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. doi:10.1007/978-3-030-65154-1
    2.   Articles dans des revues avec comité de lecture (6)
  2. 1. Lebichot, B., Siblini, W., Paldino, G. M., Le Borgne, Y.-A., Oblé, F., & Bontempi, G. (2024). Assessment of catastrophic forgetting in continual credit card fraud detection. Expert systems with applications, 249, 123445. doi:10.1016/j.eswa.2024.123445
  3. 2. Lebichot, B., Verhelst, T., Le Borgne, Y.-A., He-Guelton, L., Oblé, F., & Bontempi, G. (2021). Transfer Learning Strategies for Credit Card Fraud Detection. IEEE access, 9, 114754-114766. doi:10.1109/ACCESS.2021.3104472
  4. 3. Lebichot, B., Paldino, G. M., Siblini, W., He-Guelton, L., Oblé, F., & Bontempi, G. (2021). Incremental learning strategies for credit cards fraud detection. International journal of data science and analytics (Print), 12(2), 165-174. doi:10.1007/s41060-021-00258-0
  5. 4. Buroni, G., Lebichot, B., & Bontempi, G. (2021). AST-MTL: An Attention-based Multi-Task Learning Strategy for Traffic Forecasting. IEEE access. doi:10.1109/ACCESS.2021.3083412
  6. 5. Courtain, S., Lebichot, B., Kivimäki, I., & Saerens, M. (2020). Graph-Based Fraud Detection with the Free Energy Distance. Studies in Computational Intelligence, 882 SCI, 40-52. doi:10.1007/978-3-030-36683-4_4
  7. 6. Verhelst, T., Caelen, O., Dewitte, J. C., Lebichot, B., & Bontempi, G. (2019). Understanding telecom customer churn with machine learning: From prediction to causal inference. CEUR Workshop Proceedings, 2491.