Parties d'ouvrages collectifs (2)
  1. 1. Le Borgne, Y.-A., & Bontempi, G. (2012). Prediction-Based Data Collection in Wireless Sensor Networks. In Intelligent Sensor Networks: The Integration of Sensor Networks, Signal Processing and Machine Learning (1 ed., pp. 153-180). Boca Raton: CRC Press. doi:10.1201/b14300
  2. 2. Le Borgne, Y.-A., Dricot, J.-M., & Bontempi, G. (2008). Principal component aggregation for energy efficient information extraction in wireless sensor networks. In Knowledge Discovery from Sensor Data (pp. 55-80). Boca Raton: Taylor and Francis/CRC Press.
    3.   Articles dans des revues avec comité de lecture (21)
  3. 1. Paldino, G. M., Lebichot, B., Le Borgne, Y.-A., Siblini, W., Oblé, F., Boracchi, G., & Bontempi, G. (2024). The role of diversity and ensemble learning in credit card fraud detection. Advances in Data Analysis and Classification, 18(1), 193-217. doi:10.1007/s11634-022-00515-5
  4. 2. 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
  5. 3. 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
  6. 4. Duerinckx, S., Jacquemin, V., Drunat, S., Vial, Y., Passemard, S., Perazzolo, C., Massart, A., Soblet, J., Racapé, J., Desmyter, L., Badoer, C., Papadimitriou, S., Le Borgne, Y.-A., Lefort, A., Libert, F., De Maertelaer, V., Rooman, M., Costagliola, S., Verloes, A., Lenaerts, T., Pirson, I., & Abramowicz, M. (2020). Digenic inheritance of human primary microcephaly delineates centrosomal and non centrosomal pathways. Human mutation, 41(2), 512-524. doi:10.1002/humu.23948
  7. 5. Carcillo, F., Le Borgne, Y.-A., Caelen, O., Kessaci, Y., Oblé, F., & Bontempi, G. (2019). Combining unsupervised and supervised learning in credit card fraud detection. Information sciences. doi:10.1016/j.ins.2019.05.042
  8. 6. De Stefani, J., Le Borgne, Y.-A., Caelen, O., Hattab, D., & Bontempi, G. (2018). Batch and incremental dynamic factor machine learning for multivariate and multi-step-ahead forecasting. International journal of data science and analytics (Print), 7(4), 311-329. doi:10.1007/s41060-018-0150-x
  9. 7. Carcillo, F., Le Borgne, Y.-A., Caelen, O., & Bontempi, G. (2018). Streaming active learning strategies for real-life credit card fraud detection: assessment and visualization. International journal of data science and analytics (Print), 5(4), 285-300. doi:10.1007/s41060-018-0116-z
  10. 8. Carcillo, F., Le Borgne, Y.-A., Caelen, O., & Bontempi, G. (2018). Correction to: Streaming active learning strategies for real-life credit detection: assessment and visualization. International journal of data science and analytics (Print), 5(4), 301-302. doi:10.1007/s41060-018-0123-0
  11. 9. Reggiani, C., Le Borgne, Y.-A., & Bontempi, G. (2018). Feature selection in high-dimensional dataset using MapReduce. Communications in computer and information science, 823, 101-115. doi:10.1007/978-3-319-76892-2_8
  12. 10. Carcillo, F., Dal Pozzolo, A., Le Borgne, Y.-A., Caelen, O., Mazzer, Y., & Bontempi, G. (2017). SCARFF: a Scalable Framework for Streaming Credit Card Fraud Detection with Spark. Information fusion. doi:10.1016/j.inffus.2017.09.005
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