Ph.D. in Ingegneria Informatica E Dei Sistemi , 35th cycle (2019-2022)
Ph.D. obtained in 2023
Dissertation:
Machine learning with limited label availability: algorithms and applications (Abstract)
Tutors:
Elena Maria Baralis
Research presentation:
Video presentation PosterProfile
Research topic
Machine learning with limited label availability: algorithms and applications
Research interests
Biography
Flavio Giobergia is a PhD candidate at Politecnico di Torino. Flavio's main research interests cover situations where only limited supervision can be provided, in particular unsupervised learning, semi-supervised learning, and domain transfer, with a focus on their applications in solving real-world problems. As a TA for the Data Science Lab course, Flavio is dedicated to helping students understand the applied aspects of data science, with a practical approach: he believes that the ability to analyze and interpret data is becoming increasingly important in today's world and thus finds it invaluable to teach adopting a hands-on approach to the field.
Scientific branch
(Area 0009 - Industrial and information engineering)
Awards and Honors
Teaching
Collegi of the degree programmes
- Collegio di Ingegneria Civile. Componente invitato
- Collegio di Ingegneria Gestionale e della Produzione. Componente invitato
- Collegio di Ingegneria Informatica, del Cinema e Meccatronica. Componente invitato
Teachings
Master of Science
- Data Science e Tecnologie per le Basi di Dati. A.A. 2019/20, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Data Science e Tecnologie per le Basi di Dati. A.A. 2020/21, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Data Science e Tecnologie per le Basi di Dati. A.A. 2021/22, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Data Science e Tecnologie per le Basi di Dati. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Data science lab: process and methods. A.A. 2019/20, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
- Data science lab: process and methods. A.A. 2020/21, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
- Data science lab: process and methods. A.A. 2021/22, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
- Data science lab: process and methods. A.A. 2022/23, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
Research
Research projects
Projects funded by commercial contracts
- ImEDA - Improving Efficiency in Detection Analysis , (2023-2024) - Responsabile Scientifico
Consulting
Publications
Works published during the Ph.D. View all publications in Porto@Iris
- Giobergia, Flavio; Koudounas, Alkis; Baralis, Elena Maria (2023)
Reconstructing Atmospheric Parameters of Exoplanets Using Deep Learning. In: 2023 IEEE 17th International Conference on Application of Information and Communication Technologies (AICT), Baku (AZE), 18-20 October 2023. ISBN: 979-8-3503-0356-8
Contributo in Atti di Convegno (Proceeding) - 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) - Giobergia, Flavio (2023)
Machine learning with limited label availability: algorithms and applications. relatore: BARALIS, ELENA MARIA; , 35. XXXV Ciclo, P.: 137
Doctoral Thesis - Siviero, Federico; Giobergia, Flavio; Menzio, Luca; Miserocchi, F; Tornago, Marta; ... (2022)
First experimental results of the spatial resolution of RSD pad arrays read out with a 16-ch board. In: NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH. SECTION A, ACCELERATORS, SPECTROMETERS, DETECTORS AND ASSOCIATED EQUIPMENT, vol. 1041. ISSN 0168-9002
Contributo su Rivista - Koudounas, Alkis; Giobergia, Flavio; Baralis, Elena (2022)
Time-of-Flight Cameras in Space: Pose Estimation with Deep Learning Methodologies. In: IEEE International Conference Application of Information and Communication Technologies, Washington DC (USA), 12-14 October 2022
Contributo in Atti di Convegno (Proceeding) - Giobergia, Flavio; Baralis, Elena (2022)
RECLAIM: Reverse Engineering Classification Metrics. In: IEEE International Conference on AI and Knowledge Engineering, 19-21 September 2022, Laguna Hills, CA (USA), pp. 106-113
Contributo in Atti di Convegno (Proceeding) - Pasini, Andrea; Giobergia, Flavio; Pastor, Eliana; Baralis, ELENA MARIA (2022)
Semantic Image Collection Summarization with Frequent Subgraph Mining. In: IEEE ACCESS, vol. 10, pp. 131747-131764. ISSN 2169-3536
Contributo su Rivista - Giordano, Danilo; Giobergia, Flavio; Pastor, Eliana; La Macchia, Antonio; Cerquitelli, ... (2022)
Data-driven strategies for predictive maintenance: Lesson learned from an automotive use case. In: COMPUTERS IN INDUSTRY, vol. 134. ISSN 0166-3615
Contributo su Rivista - Giordano, Danilo; Pastor, Eliana; Giobergia, Flavio; Cerquitelli, Tania; Baralis, Elena; ... (2021)
Dissecting a Data-driven Prognostic Pipeline: A Powertrain use case. In: EXPERT SYSTEMS WITH APPLICATIONS. ISSN 0957-4174
Contributo su Rivista - Attanasio, Giuseppe; Giobergia, Flavio; Pasini, Andrea; Ventura, Francesco; Baralis, ... (2020)
DSLE: A Smart Platform for Designing Data Science Competitions. In: 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC), Madrid (Spain), July 13-17, pp. 133-142. ISBN: 978-1-7281-7303-0
Contributo in Atti di Convegno (Proceeding) - Giobergia, Flavio; Cagliero, Luca; Garza, Paolo; Baralis, Elena (2020)
Cross-Lingual Propagation of Sentiment Information Based on Bilingual Vector Space Alignment. In: Data Analytics solutions for Real-LIfe APplications (DARLI-AP). 2020 Workshops of the EDBT/ICDT Joint Conference, EDBT/ICDT-WS 2020
Contributo in Atti di Convegno (Proceeding) - Giobergia, Flavio; Baralis, ELENA MARIA (2019)
Fast Self-Organizing Maps Training. In: IEEE International Conference on Big Data, Los Angeles (USA), December 9-12, 2019, pp. 2257-2266
Contributo in Atti di Convegno (Proceeding)