A Dynamic Factor Machine Learning Method for Multi-variate and Multi-step-Ahead Forecasting. - Gianluca Bontempi; Yann-Aël Le Borgne; Jacopo De Stefani (DSAA, 2017)

Machine Learning for Multi-step Ahead Forecasting of Volatility Proxies. - Jacopo De Stefani; Olivier Caelen; Dalila Hattab; Gianluca Bontempi (MIDAS@PKDD/ECML, 2017)

A Multivariate and Multi-step Ahead Machine Learning Approach to Traditional and Cryptocurrencies Volatility Forecasting. - Jacopo De Stefani; Olivier Caelen; Dalila Hattab; Yann-Aël Le Borgne; Gianluca Bontempi (MIDAS/PAP@PKDD/ECML, 2018)

Batch and incremental dynamic factor machine learning for multivariate and multi-step-ahead forecasting. - Jacopo De Stefani; Yann-Aël Le Borgne; Olivier Caelen; Dalila Hattab; Gianluca Bontempi (Int. J. Data Sci. Anal., 2019)

Factor-Based Framework for Multivariate and Multi-step-ahead Forecasting of Large Scale Time Series. - Jacopo De Stefani; Gianluca Bontempi (Frontiers Big Data, 2021)

ALAMBIC : Active Learning Automation Methods to Battle Inefficient Curation. - Charlotte Nachtegael; Jacopo De Stefani; Tom Lenaerts (EACL (System Demonstrations), 2023)

DUVEL: an active-learning annotated biomedical corpus for the recognition of oligogenic combinations. - Charlotte Nachtegael; Jacopo De Stefani; Anthony Cnudde; Tom Lenaerts (Database J. Biol. Databases Curation, 2024)