Dottorando in Ingegneria Informatica E Dei Sistemi , 37o ciclo (2021-2024)
Dipartimento di Automatica e Informatica (DAUIN)
Docente esterno e/o collaboratore didattico
Dipartimento di Automatica e Informatica (DAUIN)
Profilo
Dottorato di ricerca
Argomento di ricerca
theory-based machine learning strategies, graph neural networks, machine learning
Tutori
- Daniele Apiletti
Presentazione della ricerca
Interessi di ricerca
Biografia
Simone is a PhD student at the Department of Control and Computer Engineering. He obtained the Master’s degree jointly at Politecnico di Torino and Université Paris-Saclay (Paris Sud) on Physics of Complex Systems. He is currently working on Graph and Convolutional neural network applications to different domains. His research interest relates to theory-based machine learning strategies, i.e. the integration of data-agnostic prior knowledge to deep learning models to enhance their predictions.
Didattica
Insegnamenti
Corso di laurea magistrale
- Big data: architectures and data analytics. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Data management and visualization. A.A. 2023/24, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
- Challenge@PoliTo by Firms - Enertech. A.A. 2022/23, INGEGNERIA GESTIONALE (ENGINEERING AND MANAGEMENT). Collaboratore del corso
- Big data: architectures and data analytics. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Data management and visualization. A.A. 2022/23, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
- Data management and visualization. A.A. 2021/22, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
Corso di laurea di 1° livello
- Introduction to databases. A.A. 2021/22, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Pubblicazioni
Coautori PoliTO
Pubblicazioni più recenti Vedi tutte le pubblicazioni su Porto@Iris
- Monaco, Simone; Barresi, Sebastiano; Apiletti, Daniele (In stampa)
Lorentz-invariant augmentation for high-energy physics. In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Torino, September 18-22 2023
Contributo in Atti di Convegno (Proceeding) - Monaco, Simone; Apiletti, Daniele (2023)
Training physics-informed neural networks: One learning to rule them all?. In: RESULTS IN ENGINEERING, vol. 18. ISSN 2590-1230
Contributo su Rivista - Koudounas, Alkis; Giobergia, Flavio; Benedetto, Irene; Monaco, Simone; Cagliero, Luca; ... (2023)
baρtti at GeoLingIt: Beyond Boundaries, Enhancing Geolocation Prediction and Dialect Classification on Social Media in Italy. In: EVALITA 2023, Parma (ITA), September 7th - 8th, 2023. ISSN 1613-0073
Contributo in Atti di Convegno (Proceeding) - Monaco, Simone; Apiletti, Daniele; Malnati, Giovanni (2022)
Theory-Guided Deep Learning Algorithms: An Experimental Evaluation. In: ELECTRONICS, vol. 11. ISSN 2079-9292
Contributo su Rivista - Colomba, Luca; Farasin, Alessandro; Monaco, Simone; Greco, Salvatore; Garza, Paolo; ... (2022)
A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery. In: International Conference on Information and Knowledge Management (CIKM) 2022, Atlanta (Georgia, USA), 17/10/2022 - 21/10/2022, pp. 3893-3897. ISBN: 978-1-4503-9236-5
Contributo in Atti di Convegno (Proceeding)