Robust machine learning models for high dimensional data interpretation

• PhD Quality Awards 2023 (2023)

Master of Science

• 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
• Machine learning for vision and multimedia. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso

Bachelor of Science

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

• GRAINS - GRAphics and INtelligent Systems

• Manigrasso, Francesco (2024)
  Robust machine learning models for high dimensional data interpretation. relatore: LAMBERTI, FABRIZIO; , 36. XXXVI Ciclo, P.: 108
  Doctoral Thesis
• 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; 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)
• 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)
• Manigrasso, Francesco; Morra, Lia; Lamberti, Fabrizio (2023)
  Fuzzy Logic Visual Network (FLVN): A neuro-symbolic approach for visual features matching. In: 22nd International Conference on IMAGE ANALYSIS AND PROCESSING (ICIAP 2023), Udine, 11-15 settembre 2023, pp. 456-467. ISSN 0302-9743. ISBN: 978-3-031-43152-4
  Contributo in Atti di Convegno (Proceeding)
• Martone, Simone; Manigrasso, Francesco; Lamberti, Fabrizio; Morra, Lia (2022)
  PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero Shot Learning. In: 26th International Conference on Pattern Recognition (ICPR 2022), Montreal, 21-25 Agosto 2022, pp. 4427-4433. ISBN: 978-1-6654-9062-7
  Contributo in Atti di Convegno (Proceeding)
• Ardito, Luca; Bottino, Andrea; Coppola, Riccardo; Lamberti, Fabrizio; Manigrasso, ... (2022)
  Feature Matching-based Approaches to Improve the Robustness of Android Visual GUI Testing. In: ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY, vol. 31, pp. 1-32. ISSN 1049-331X
  Contributo su Rivista
• Manigrasso, Francesco; Davide Miro, Filomeno; Morra, Lia; Lamberti, Fabrizio (2021)
  Faster-LTN: a neuro-symbolic, end-to-end object detection architecture. In: 30th International Conference on Artificial Neural Networks (ICANN 2021), Fully online event, 14-17 September 2021, pp. 40-52. ISSN 0302-9743. ISBN: 978-3-030-86339-5
  Contributo in Atti di Convegno (Proceeding)
• Morra, Lia; Manigrasso, Francesco; Canto, Giuseppe; Gianfrate, Claudio; Guarino, Enrico; ... (2020)
  Slicing and dicing soccer: automatic detection of complex events from spatio-temporal data. In: Proc. 17th International Conference on Image Analysis and Recognition (ICIAR 2020), Póvoa de Varzim, Portugal, 24-26 June, 2020, pp. 107-121
  Contributo in Atti di Convegno (Proceeding)
• Morra, Lia; Manigrasso, Francesco; Lamberti, Fabrizio (2020)
  SoccER: Computer graphics meets sports analytics for soccer event recognition. In: SOFTWAREX, vol. 12. ISSN 2352-7110
  Contributo su Rivista

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