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    List of publications of Gianluca Bontempi


      Peer-reviewed journal articles (156)
  1. 21. Simar, C., Cebolla Alvarez, A. M., Chartier, G., Petieau, M., Bontempi, G., Berthoz, A., & Cheron, G. (2020). Hyperscanning EEG and Classification Based on Riemannian Geometry for Festive and Violent Mental State Discrimination. Frontiers in Neuroscience, 14. doi:10.3389/fnins.2020.588357
  2. 22. De Caro, F., De Stefani, J., Bontempi, G., Vaccaro, A. A., & Villacci, D. D. (2020). Robust Assessment of Short-Term Wind Power Forecasting Models on Multiple Time Horizons. Technology and Economics of Smart Grids and Sustainable Energy, 5(1), 19. doi:10.1007/s40866-020-00090-8
  3. 23. De Caro, F., De Stefani, J., Bontempi, G., Vaccaro, A. A., & Villacci, D. D. (2020). Robust Assessment of Short-Term Wind Power Forecasting Models on Multiple Time Horizons. Technology and Economics of Smart Grids and Sustainable Energy, 5(1). doi:10.1007/s40866-020-00090-8
  4. 24. Bontempi, G. (2019). The Induction Problem: A Machine Learning Vindication Argument. Lecture notes in computer science, 11943 LNCS, 232-243. doi:10.1007/978-3-030-37599-7_20
  5. 25. 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
  6. 26. Bontempi, G. (2019). Comments on M4 competition. International journal of forecasting. doi:10.1016/j.ijforecast.2019.03.028
  7. 27. Mounir, M., Lucchetta, M., Silva, T. H. D. T., Olsen, C., Bontempi, G., Chen, X., Noushmehr, H., Colaprico, A., & Papaleo, E. (2019). New functionalities in the TCGAbiolinks package for the study and integration of cancer data from GDC and GTEx. PLoS computational biology, 15(3), e1006701. doi:10.1371/journal.pcbi.1006701
  8. 28. 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.
  9. 29. 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
  10. 30. de Bony, E. J., Bizet, M., Van Grembergen, O., Hassabi, B., Calonne, E., Putmans, P., Bontempi, G., & Fuks, F. (2018). Comprehensive identification of long noncoding RNAs in colorectal cancer. Oncotarget, 9(45), 27605-27629. doi:10.18632/oncotarget.25218
  11. 31. 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
  12. 32. 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
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