Francesco Manigrasso

Master of Science

• Machine learning for vision and multimedia. A.A. 2025/26, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• 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

Bachelor of Science

• Architectural Design in the Age of AI (modulo di Information Processing Systems). A.A. 2025/26, ARCHITETTURA (ARCHITECTURE). Collaboratore del corso
• 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

• GRAINS - GRAphics and INtelligent Systems (DAUIN)

• Dahmardeh, Malihe; Saadatpour, Mohsen; Manigrasso, Francesco; Morra, Lia; Setti, ... (In stampa)
  NeSyLAD: A Neuro-Symbolic Approach for Unsupervised Logical Anomaly Detection. In: 23rd International Conference on Image Analysis and Processing (ICIAP), Roma, 15-19 settembre 2025. ISSN 0302-9743
  Contributo in Atti di Convegno (Proceeding)
• Manigrasso, Francesco; Lamberti, Fabrizio; Morra, Lia (2026)
  Boosting zero-shot learning through neuro-symbolic integration. In: PATTERN RECOGNITION, vol. 170. ISSN 0031-3203
  Contributo su Rivista
• Basci, Pietro; Greco, Salvatore; Manigrasso, Francesco; Cerquitelli, Tania; Morra, Lia (2025)
  Explaining Concept Drift via Neuro-Symbolic Rules. In: European Workshop on Trustworthy AI (TRUST-AI), Bologna, 25-26 ottobre 2025, pp. 61-72
  Contributo in Atti di Convegno (Proceeding)
• 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 (2024)
  Robust machine learning models for high dimensional data interpretation. relatore: LAMBERTI, FABRIZIO; , 36. XXXVI Ciclo, P.: 108
  Doctoral Thesis

• Deep Neural Networks For Multi-View Mammography Classification. national Patent
  Inventors: Francesco Manigrasso Rosario Milazzo Lia Morra Alessandro Sebastian Russo