Ph.D. candidate
in Ingegneria Informatica E Dei Sistemi , 36th cycle (2020-2023)
Department of Control and Computer Engineering (DAUIN)
Research Assistant
Department of Control and Computer Engineering (DAUIN)
Docente esterno e/o collaboratore didattico
Department of Control and Computer Engineering (DAUIN)
Profile
PhD
Thesis title
Robust machine learning models for high dimensional data interpretation
Research topic
Robust machine learning models for high dimensional data interpretation
Tutors
Research presentation
Research interests
Biography
By allowing the incorporation of prior knowledge in the training process, neuro-symbolic applications can enhance multiple image analysis tasks in various real-life scenarios. The additional possibility to represent the model uncertainty is particularly relevant when coping with limited training data.
Starting from different computer vision tasks like image classification, the research aims at comparing the neural-symbolic architectures with traditional convolutional neural network in terms of accuracy, generalizability, and interpretability.
Awards and Honors
Teaching
Teachings
Master of Science
- 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
- 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
Publications
Latest publications View all publications in Porto@Iris
- 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, ... (2021)
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)
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