Ferrara Alfio

Full professor
Scientific-Disciplinary Sector
INFO-01/A - Informatics
Scientific-Disciplinary Group/Competition Sector
01/INFO-01 - INFORMATICA
Assignments
  • DELEGATE FOR AI LITERACY

Contacts

Workplace

Via Celoria, 18

Office phone number
02503 16379
Additional phone numbers
00390250316379
University email address
Office hours
On appointment. The meeting will be online by first contacting the professor by email.
Reception office
Online. In case of a meeting in person, Department of Computer Science, via Celoria 18 Milano, Room 7012 (7 floor)
Teaching - Programme courses

Postgraduate programmes

A.Y. 2024/2025
2nd level vocational master
A.Y. 2023/2024
1st level vocational master
2nd level vocational master
A.Y. 2022/2023
1st level vocational master
2nd level vocational master
Research

Publications

  • Incremental Affinity Propagation Based on Cluster Consolidation and Stratification / F. Periti, S. Montanelli, A. Ferrara, S. Castano. - In: NEURAL PROCESSING LETTERS. - ISSN 1370-4621. - 57:3(2025 Jun), pp. 44.1-44.32. [10.1007/s11063-025-11752-y]
  • Developing a decision support system for the choice of cover crops / L. Bechini, F. Ardenti, L. Armadoro, D. Cantaluppi, M. Colombo, D. Della Torre, A. Ferrara, R. Fuccella, G. Fiorini, L. Gangemi, D. Manenti, P. Marino, L. Michelon, M. Micotti, M. Motti, A. Papa, M. Perfetto, S. Picascia, S. Salini, M. Sampietro, V. Tabaglio, E. Weber, A. Fiorini - In: Proceedings International Fertiliser SocietyPrima edizione. - [s.l] : International Fertiliser Society, 2024 Dec. - ISBN 978-0-85310-531-2. - pp. 1-32 (( convegno International Fertiliser Society Conference tenutosi a Cambridge nel 2024.
  • La Cybersecurity negli enti locali / D. Bruschi, A. Ferrara, M. DE CORATO. - [s.l] : Milano University press, 2024 Oct 25. - ISBN 979-125-510-185-7. [10.54103/meiec.197]
  • Unveiling Transformer Perception by Exploring Input Manifolds / A. Benfenati, A. Ferrara, A. Marta, D. Riva, E. Rocchetti. - (2024 Oct 08). [10.48550/arXiv.2410.06019]
  • Hazardous asteroids forecast via Markov Random Fields: A case study for Explainable Artificial Intelligence (XAI) / M. DE CORATO, S. Salini, A. Ferrara, C. Vello. ((Intervento presentato al 110. convegno Congresso Nazionale Società Italiana di Fisica tenutosi a Bologna nel 2024.