Dr.ir. J. (Jacopo) De Stefani
Dr.ir. J. (Jacopo) De Stefani
Profile
His research focuses on time series analysis with machine learning techniques, with specific interest in computational efficiency and interpretability. He holds two M.Sc. from Politecnico di Milano and UniversitƩ Libre de Bruxelles (ULB) in Engineering of Computing Systems and a Ph.D in Machine Learning from ULB (MLG-ULB).
Research interests
Time series analysis
Performance scalability
Data visualization
Computational cost ā€“ Forecast quality tradeoff
Large scale (Big Data) processing technologies
Deep learning
IoT
Sustainable IT
Open data/Open code/Open science
Academic background
Jacopo De Stefani is a Lecturer at Delft University of Technology, Faculty Technology Policy and Management, Section Information and Communication Technology.
Expertise
Publications
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2023
ALAMBIC
Active Learning Automation with Methods to Battle Inefficient Curation
Charlotte Nachtegael / Jacopo De Stefani / Tom Lenaerts -
2022
A Digital Twin Approach for Improving Estimation Accuracy in Dynamic Thermal Rating of Transmission Lines
Gian Marco Paldino / Fabrizio De Caro / Jacopo De Stefani / Alfredo Vaccaro / Domenico Villacci / Gianluca Bontempi
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2021
Factor-Based Framework for Multivariate and Multi-step-ahead Forecasting of Large Scale Time Series
Jacopo De Stefani / Gianluca Bontempi
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2019
Batch and incremental dynamic factor machine learning for multivariate and multi-step-ahead forecasting
Jacopo De Stefani / Yann-Ael Le Borgne / Olivier Caelen / Dalila Hattab / Gianluca Bontempi
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Ancillary activities
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2021-10-01 - 2023-10-01