2023: Ermshaus, A., Schäfer, P., Bagnall, A., Guyet, T., Ifrim, G., Lemaire, V., Leser, U., Leverger, C. and Malinowski, S., 2023, September. Human Activity Segmentation Challenge@ ECML/PKDD’23. In International Workshop on Advanced Analytics and Learning on Temporal Data (pp. 3-13). [PDF]

2021: Leverger, C., Guyet, T., Malinowski, S., Lemaire, V., Bondu, A., Rozé, L., ... & Marguerie, R., "Probabilistic forecasting of seasonal time series - Combining clustering and classification for forecasting", in International conference on Time Series and Forecasting (ITISE 2021) [PDF]

2020: Leverger, C., "Investigation of a framework for seasonal time series forecasting.", Ph.D. Full Thesis. Defended at the end of November 2020. [PDF] [VIDEO]

2019: Leverger, C., Malinowski, S., Guyet, T., Lemaire, V., Bondu, A., & Termier, A., "Toward a framework for seasonal time series forecasting using clustering.", in In International Conference on Intelligent Data Engineering and Automated Learning 2019 (pp. 328-340), [PDF]

2018: Leverger, C., Lemaire, V., Malinowski, S., Guyet, T., & Rozé, L., "Day-ahead time series forecasting : application to capacity planning.", in AALTD workshop ECML 2018. [PDF] [LINK]

2018: Leverger, C., Marguerie, R., Lemaire, V., Guyet, T., & Malinowski, S., "PerForecast : un outil de prévision de l'évolution de séries temporelles pour le planning capacitaire.", in EGC 2018, vol. RNTI-E-34, pp.455-458. [PDF] [LINK]