Jacopo De Stefani

Publications

Transfer learning-based methodologies for Dynamic Thermal Rating of transmission lines Paldino, Gian Marco, De Caro, Fabrizio, De Stefani, Jacopo, Vaccaro, Alfredo, Bontempi, Gianluca In Electric Power Systems Research, 2024 [Article ] [Cite (bibtex) ]

A study of deep active learning methods to reduce labelling efforts in biomedical relation extraction Nachtegael, Charlotte, De Stefani, Jacopo, Lenaerts, Tom In PLOS ONE, 2023 [Article ] [Cite (bibtex) ]

Towards multivariate multi-step-ahead time series forecasting: A machine learning perspective De Stefani, Jacopo, Bontempi, Gianluca 2022 [Article ] [Slides ] [Cite (bibtex) ] [ Recording ]
A digital twin approach for improving estimation accuracy in dynamic thermal rating of transmission lines Paldino, Gian Marco, De Caro, Fabrizio, De Stefani, Jacopo, Vaccaro, Alfredo, Villacci, Domenico, Bontempi, Gianluca In Energies, 2022 [Article ] [Cite (bibtex) ]

Factor-Based Framework for Multivariate and Multi-step-ahead Forecasting of Large Scale Time Series De Stefani, Jacopo, Bontempi, Gianluca In Frontiers in Big Data, 2021 [Article ] [Cite (bibtex) ]
DAFT-E: feature-based multivariate and multi-step-ahead wind power forecasting De Caro, Fabrizio, De Stefani, Jacopo, Vaccaro, Alfredo, Bontempi, Gianluca In IEEE Transactions on Sustainable Energy, 2021 [Article ] [Cite (bibtex) ]

Robust Assessment of Short-Term Wind Power Forecasting Models on Multiple Time Horizons De Caro, Fabrizio, De Stefani, Jacopo, Bontempi, Gianluca, Vaccaro, Alfredo, Villacci, Domenico In Technology and Economics of Smart Grids and Sustainable Energy, 2020 [Article ] [Cite (bibtex) ]

Batch and Incremental Dynamic Factor Machine Learning for Multivariate and Multi-Step-Ahead Forecasting De Stefani, Jacopo, Le Borgne, Yann-Aël, Caelen, Olivier, Hattab, Dalila, Bontempi, Gianluca In International Journal of Data Science and Analytics, [HTML] [Cite (bibtex) ]

ALAMBIC : Active Learning Automation Methods to Battle Inefficient Curation Nachtegael, Charlotte, De Stefani, Jacopo, Lenaerts, Tom In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2023 [Abstract] [Article ] [Article ] [Cite (bibtex) ]
In this paper, we present ALAMBIC, an open-source dockerized web-based platform for annotating text data through active learning for classification task. Active learning is known to reduce the need of labelling, a time-consuming task, by selecting the most informative instances among the unlabelled instances, reaching an optimal accuracy faster than by just randomly labelling data. ALAMBIC integrates all the steps from data import to customization of the (active) learning process and annotation of the data, with indications of the progress of the trained model that can be downloaded and used in downstream tasks. Its architecture also allows the easy integration of other types of model, features and active learning strategies.The code is available on https://github.com/Trusted-AI-Labs/ALAMBIC and a video demonstration is available on https://youtu.be/4oh8UADfEmY.

Does AutoML Outperform Naive Forecasting? Paldino, Gian Marco, De Stefani, Jacopo, De Caro, Fabrizio, Bontempi, Gianluca In Engineering Proceedings, 2021 [Article ] [Cite (bibtex) ]

Multi-step-ahead prediction of volatility proxies De Stefani, Jacopo, Bontempi, Gianluca, Caelen, Olivier, Hattab, Dalila In Benelearn Proceedings, 2017 [Article ] [Poster ] [Slides ] [Cite (bibtex) ]
Machine Learning for Multi-step Ahead Forecasting of Volatility Proxies De Stefani, Jacopo, Caelen, Olivier, Hattab, Dalila, Bontempi, Gianluca In 2^nd Workshop on MIning DAta for financial applicationS (MIDAS), 2017
MIDAS 2017 - Best paper award
[Article ] [Slides ] [Cite (bibtex) ] [ Award ]
A dynamic factor machine learning method for multi-variate and multi-step-ahead forecasting Bontempi, Gianluca, Le Borgne, Yann-Aël, De Stefani, Jacopo In IEEE DSAA17, International Conference on Data Science and Analytics, 2017
DSAA 2017 - Honorable Mention Research Paper
[Article ] [Slides ] [Cite (bibtex) ] [ Award ]

(WO2019002582) SYSTEM AND METHOD FOR MANAGING RISKS IN A PROCESS De Stefani, Jacopo, Bontempi, Gianluca, Caelen, Olivier, Hattab, Dalila 2019 [Article ]

Intelligenza Artificiale: Istruzioni per l’uso De Stefani, Jacopo At Politecnico di Milano, Campus di Cremona, 2022 [Poster ] [Slides ] [ Recording ]
Prototipazione Rapida con Open Data e Machine Learning De Stefani, Jacopo At Politecnico di Milano, Campus di Cremona, 2022 [Poster ] [Slides ]
Everything you always wanted to know about ML and videogames (but were afraid to ask) De Stefani, Jacopo At SmartMonday @ URLab (Hackerspace ULB), 2020 [Slides ]
Everything you always wanted to know about Machine Learning (but were afraid to ask) De Stefani, Jacopo At Brussels Summer School of Mathematics – BSSM 2019, 2019 [Slides ]
Methods for multivariate and multi-step-ahead time series forecasting De Stefani, Jacopo At Scisports @ Amersfoort, 2018 [Slides ]
Intelligence en essaim De Stefani, Jacopo At SmartMonday @ URLab (Hackerspace ULB), 2018 [Slides ]
Machine Learning for Multi-step Ahead Forecasting of Volatility Proxies De Stefani, Jacopo At INESC-ID (Lisbon), 2017 [Slides ]
Pour les belges, ce n’est pas de la petite bière! De Stefani, Jacopo At LANG-B-909 - Français Langue Etrangère - Niveau Avancé 2, 2016 [Slides ]