Francesco Manigrasso

Corso di laurea magistrale

• Machine learning for vision and multimedia. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Machine learning for vision and multimedia. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Challenge@PoliTo by Firms - Students from the future. A.A. 2021/22, INGEGNERIA GESTIONALE (ENGINEERING AND MANAGEMENT). Collaboratore del corso
• Piattaforme mobili e servizi cloud. A.A. 2020/21, INGEGNERIA GESTIONALE. Collaboratore del corso

Corso di laurea di 1° livello

• Introduction to databases. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Introduction to databases. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Informatica. A.A. 2022/23, INGEGNERIA INFORMATICA. Collaboratore del corso
• Informatica. A.A. 2021/22, INGEGNERIA AEROSPAZIALE. Collaboratore del corso

• 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
• Manigrasso, Francesco; Schouten, Stefan; Morra, Lia; Peter Bloem, And (2024)
  Probing LLMs for logical reasoning. In: 18th International Conference on Neuro-symbolic Learning and Reasoning, Barcelona (ESP), September 9–12, 2024, pp. 257-278. ISSN 0302-9743. ISBN: 978-3-031-71166-4
  Contributo in Atti di Convegno (Proceeding)
• Piano, Luca; Manigrasso, Francesco; Russo, Alessandro; Morra, Lia (2024)
  Enhancing Neuro-Symbolic Integration with Focal Loss: A Study on Logic Tensor Networks. In: 18th International Conference on Neuro-symbolic Learning and Reasoning, Barcelona (ESP), September 9–12, 2024, pp. 14-23. ISSN 0302-9743. ISBN: 978-3-031-71169-5
  Contributo in Atti di Convegno (Proceeding)
• Manigrasso, Francesco (2024)
  Robust machine learning models for high dimensional data interpretation. relatore: LAMBERTI, FABRIZIO; , 36. XXXVI Ciclo, P.: 108
  Doctoral Thesis
• Russo, Alessandro; Manigrasso, Francesco; Lamberti, Fabrizio; Morra, Lia (2023)
  L-TReiD: Logic Tensor Transformer for Re-Identification. In: International Symposium on Visual Computing (ISVC) 2023, Lake Tahoe, Nevada, USA, 16/10/2023 - 18/10/2023, pp. 345-357. ISSN 0302-9743. ISBN: 978-3-031-47965-6
  Contributo in Atti di Convegno (Proceeding)

• Deep Neural Networks For Multi-View Mammography Classification. Brevetto nazionale
  Inventori: Francesco Manigrasso Rosario Milazzo Lia Morra Alessandro Sebastian Russo