Machine learning with limited label availability: algorithms and applications

• First-place winner of the Image Classification Challenge during the International Summer School on Deep Learning 2021 (2021)

• Collegio di Ingegneria Informatica, del Cinema e Meccatronica. Componente

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. 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 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

• DBDM - Database and Data Mining Group

Projects funded by commercial contracts

• Evolution TxM , (2026-2027) - Responsabile Scientifico
  Commercial Research
• “MAD – STANDARD BANKING” , (2025-2026) - Responsabile Scientifico
  Commercial Research
• ImEDA - Improving Efficiency in Detection Analysis , (2023-2024) - Responsabile Scientifico
  Consulting

• Claudio Savelli. Programme in Ingegneria Informatica E Dei Sistemi (cycle 40, 2024-in progress)
  Research subject: Machine Unlearning
  
  Data science, Computer vision and AI

• Giobergia, Flavio (2023)
  Machine learning with limited label availability: algorithms and applications. relatore: BARALIS, ELENA MARIA; , 35. XXXV Ciclo, P.: 137
  Doctoral Thesis
• Giobergia, Flavio; Baralis, Elena (2023)
  Late Fusion-based Distributed Multimodal Learning. In: 2023 IEEE International Conference on Big Data (BigData), Sorrento (ITA), 15-18 December 2023, pp. 2152-2156. ISBN: 979-8-3503-2445-7
  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; 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)
• Tornago, Marta; Giobergia, Flavio; Menzio, Luca; Siviero, Federico; Arcidiacono, ... (2023)
  Silicon sensors with resistive read-out: Machine Learning techniques for ultimate spatial resolution. In: NUCLEAR INSTRUMENTS AND METHODS IN PHYSICS RESEARCH. SECTION A, ACCELERATORS, SPECTROMETERS, DETECTORS AND ASSOCIATED EQUIPMENT, vol. 1047. ISSN 1872-9576
  Contributo su Rivista
• 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)
• 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)
• 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
• 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
• 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
• 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, vol. 180 (115109). ISSN 0957-4174
  Contributo su Rivista
• 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)
• 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; 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)