Ferrari Stefano
Associate Professor
Scientific-Disciplinary Sector
INFO-01/A - Informatics
Scientific-Disciplinary Group/Competition Sector
01/INFO-01 - INFORMATICA
Research fields and competencies
Teaching - Programme courses
Bachelors and masters
A.Y. 2025/2026
A.Y. 2020/2021
A.Y. 2019/2020
A.Y. 2018/2019
Postgraduate programmes
A.Y. 2023/2024
Postgraduate Schools - Medicine, Healthcare, Dental Medicine
- Tecniche di calcolo e sistemi operativi e informatica (Postgraduate School of Medical Physics)
A.Y. 2022/2023
Postgraduate Schools - Medicine, Healthcare, Dental Medicine
- Tecniche di calcolo e sistemi operativi e informatica (Postgraduate School of Medical Physics)
Research
Publications
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Electrical Vehicle Fleet Management for Industrial Environment with Battery SoH prediction through Neural Networks / P. Cova, N. Delmonte, S. Ferrari, M. Lazzaroni, R. Menozzi, D. Santoro, M. Simonazzi. ((Intervento presentato al convegno IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering tenutosi a Milano : 25-27 ottobre nel 2023.
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Electrical Vehicle Fleet Management for Industrial Environment with Battery SoH Prediction Through Neural Networks / P. Cova, N. Delmonte, S. Ferrari, M. Lazzaroni, R. Menozzi, D. Santoro, M. Simonazzi - In: 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)[s.l] : IEEE, 2023. - ISBN 979-8-3503-0080-2. - pp. 323-328 (( convegno IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) tenutosi a Milano nel 2023 [10.1109/MetroXRAINE58569.2023.10405573].
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Grad2VAE: An explainable variational autoencoder model based on online attentions preserving curvatures of representations / M. Abukmeil, S. Ferrari, A. Genovese, V. Piuri, F. Scotti (LECTURE NOTES IN COMPUTER SCIENCE). - In: Image Analysis and Processing / [a cura di] S. Sclaroff, C. Distante, M. Leo, G.M. Farinella, F. Tombari. - [s.l] : Springer, 2022. - ISBN 978-3-031-06427-2. - pp. 670-681 (( Intervento presentato al 21. convegno ICIAP tenutosi a Lecce nel 2022 [10.1007/978-3-031-06427-2_56].
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A survey of unsupervised generative models for exploratory data analysis and representation learning / M. Abukmeil, S. Ferrari, A. Genovese, V. Piuri, F. Scotti. - In: ACM COMPUTING SURVEYS. - ISSN 0360-0300. - 54:5(2021), pp. 99.1-99.40. [10.1145/3450963]
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On approximating the non-negative rank: Applications to unsupervised image reduction / M. Abukmeil, S. Ferrari, A. Genovese, V. Piuri, F. Scotti - In: 2020 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)[s.l] : IEEE, 2020 Jun 22. - ISBN 9781728144337. - pp. 1-6 (( convegno 2020 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) tenutosi a Tunis nel 2020.