LOTHRITZ, C., LEBICHOT, B., ALLIX, K., EZZINI, S., BISSYANDE, T. F. D. A., KLEIN, J., Boytsov, A., Lefebvre, C., & Goujon, A. (2023). Evaluating the Impact of Text De-Identification on Downstream NLP Tasks. In Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa). Tartu, Estonia: University of Tartu Library. Peer reviewed |
Arslan, Y., Lebichot, B., Allix, K., Veiber, L., Lefebvre, C., Boytsov, A., Goujon, A., Bissyande, T. F. D. A., & Klein, J. (2022). Towards Refined Classifications Driven by SHAP Explanations. In A. Holzinger, P. Kieseberg, A. M. Tjoa, ... E. Weippl (Eds.), Machine Learning and Knowledge Extraction (pp. 68-81). Springer. Peer reviewed |
Lothritz, C., Lebichot, B., Allix, K., Veiber, L., Bissyande, T. F. D. A., Klein, J., Boytsov, A., Goujon, A., & Lefebvre, C. (2022). LuxemBERT: Simple and Practical Data Augmentation in Language Model Pre-Training for Luxembourgish. In Proceedings of the Language Resources and Evaluation Conference, 2022 (pp. 5080-5089). Peer reviewed |
Arslan, Y., Lebichot, B., Allix, K., Veiber, L., Lefebvre, C., Boytsov, A., Goujon, A., Bissyande, T. F. D. A., & Klein, J. (2022). On the Suitability of SHAP Explanations for Refining Classifications. In In Proceedings of the 14th International Conference on Agents and Artificial Intelligence (ICAART 2022). doi:10.5220/0010827700003116 Peer reviewed |
Lothritz, C., Allix, K., Lebichot, B., Veiber, L., Bissyande, T. F. D. A., & Klein, J. (2021). Comparing MultiLingual and Multiple MonoLingual Models for Intent Classification and Slot Filling. In 26th International Conference on Applications of Natural Language to Information Systems (pp. 367-375). Springer. doi:10.1007/978-3-030-80599-9_32 Peer reviewed |
Lebichot, B., Verheslt, T., Le Borgne, Y.-A., He-Guelton, L., Oblé, F., & Bontempi, G. (2021). Transfer Learning Strategies for Credit Card Fraud Detection. IEEE Access. doi:10.1109/ACCESS.2021.3104472 Peer Reviewed verified by ORBi |
Lebichot, B., Gian-Marco, P., Wissam, S., Liyun, H.-G., Frédéric, O., & Gianluca, B. (2021). Incremental learning strategies for credit cards fraud detection. nternational Journal of Data Science and Analytics. doi:10.1007/s41060-021-00258-0 Peer reviewed |
Siblini, W., Coter, G., Fabry, R., He-Guelton, L., Oble, F., Lebichot, B., Le Borgne, Y.-A., & Bontempi, G. (2021). Transfer learning for credit card fraud detection : A journey from research to production. The Proceedings of the Data Science and Advanced Analytics (DSAA 2021) IEEE conference. Peer reviewed |
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 Peer Reviewed verified by ORBi |