Jacopo De Stefani

According to our database, Jacopo De Stefani authored at least 6 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

ALAMBIC : Active Learning Automation Methods to Battle Inefficient Curation.

Charlotte Nachtegael, Jacopo De Stefani, Tom Lenaerts

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. EACL 2023, 2023

2021

Factor-Based Framework for Multivariate and Multi-step-ahead Forecasting of Large Scale Time Series.

Jacopo De Stefani, Gianluca Bontempi

Frontiers Big Data, 2021

2019

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

2018

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

Proceedings of the ECML PKDD 2018 Workshops, 2018

2017

Machine Learning for Multi-step Ahead Forecasting of Volatility Proxies.

Jacopo De Stefani, Olivier Caelen, Dalila Hattab, Gianluca Bontempi

Proceedings of the Second Workshop on MIning DAta for financial applicationS (MIDAS 2017) co-located with the 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2017), 2017

A Dynamic Factor Machine Learning Method for Multi-variate and Multi-step-Ahead Forecasting.

Gianluca Bontempi, Yann-Aël Le Borgne, Jacopo De Stefani

Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017