
Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 38th cycle (2022-2025)
Department of Control and Computer Engineering (DAUIN)
Docente esterno e/o collaboratore didattico
Department of Control and Computer Engineering (DAUIN)
Profile
PhD
Research topic
Robust, accurate and efficient deep neural networks for satellite and mobility applications
Tutors
Research presentation
Research interests
Biography
Teaching
Teachings
Master of Science
- Gestione dell'innovazione e sviluppo prodotto ICT. A.A. 2024/25, INGEGNERIA GESTIONALE. Collaboratore del corso
- Gestione dell'innovazione e sviluppo prodotto ICT. A.A. 2023/24, INGEGNERIA GESTIONALE. Collaboratore del corso
- Gestione dell'innovazione e sviluppo prodotto ICT. A.A. 2022/23, INGEGNERIA GESTIONALE. Collaboratore del corso
Research
Research groups
Publications
Latest publications View all publications in Porto@Iris
- Manigrasso, Francesco; Milazzo, Rosario; Russo, Alessandro; Lamberti, Fabrizio; Strand, ... (2025)
Mammography classification with multi-view deep learning techniques: investigating graph and transformer-based architectures. In: MEDICAL IMAGE ANALYSIS, vol. 99. ISSN 1361-8415
Contributo su Rivista - Milazzo, Rosario; De Marco, Vincenzo; De Sio, Corrado; Fosson, Sophie; Morra, Lia; ... (2024)
On the Fault Tolerance of Self-Supervised Training in Convolutional Neural Networks. In: 27th International Symposium on Design and Diagnostics of Electronic Circuits and Systems, Kielce (Polonia), 3-5 April 2024, pp. 110-115. ISBN: 979-8-3503-5934-3
Contributo in Atti di Convegno (Proceeding) - Bianco, Selene; Corcione, Valeria; Maragliano, Matteo; Chiara Rodi, Giovanna; Marangoni, ... (2024)
EASTERN project: Earth observation models for weather event mitigation. In: SPAICE Conference on AI in and for Space, London (UK), 17 – 19 September 2024, pp. 318-322
Contributo in Atti di Convegno (Proceeding) - Aicardi, Irene; Angeli, Stefano; Milazzo, Rosario; Lingua, Andrea Maria; Angela Musci, ... (2020)
A Python Customization of Metashape for Quasi Real-Time Photogrammetry in Precision Agriculture Application. In: R3 in Geomatics: Research, Results and Review / S.N., S.L., Springer, pp. 229-243. ISBN: 978-3-030-62799-7
Contributo in Volume
Society and Enterprise
Patents and other intellectual properties
- Deep Neural Networks For Multi-View Mammography Classification. national Patent
Inventors: Francesco Manigrasso Rosario Milazzo Lia Morra Alessandro Sebastian Russo