Francesco Manigrasso

Ph.D. in Ingegneria Informatica E Dei Sistemi , 36^th cycle (2020-2023)

Ph.D. obtained in 2024

Profile

Research topic

Robust machine learning models for high dimensional data interpretation

Research interests

Data science, Computer vision and AI

Biography

The integration of symbolic knowledge representation and learning has the potential to improve traditional deep learning models adding capabilities in terms of inference, reasoning, and representation of high-level concepts. The present research proposal concerns techniques that incorporate deep learning and statistical relational learning (neuro-symbolic models) for the interpretation of multi-dimensional data, such as images.

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

PhD Quality Awards 2023 (2023)

Teaching

Teachings

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

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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

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Publications

Works published during the Ph.D. View all publications in Porto@Iris

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)
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)
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
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)
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

More publicationsLess publications

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 Alessandro Sebastian Russo