Corso di laurea magistrale

• Big data processing and analytics. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Big data: architectures and data analytics. A.A. 2020/21, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Big data: architectures and data analytics. A.A. 2021/22, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Big data: architectures and data analytics. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Distributed architectures for big data processing and analytics. A.A. 2020/21, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
• Distributed architectures for big data processing and analytics. A.A. 2021/22, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
• Distributed architectures for big data processing and analytics. A.A. 2022/23, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
• Applied data science project. A.A. 2021/22, DATA SCIENCE AND ENGINEERING. Collaboratore del corso

• Rege Cambrin, Daniele; Colomba, Luca; Garza, Paolo (In stampa)
  Vision Transformers for Burned Area Delineation. In: MACLEAN: MAChine Learning for EArth ObservatioN (workshop @ECML/PKDD2022), Grenoble (FR), 19/09/2022
  Contributo in Atti di Convegno (Proceeding)
• Colomba, Luca; Cagliero, Luca; Garza, Paolo (2023)
  Density-based Clustering by Means of Bridge Point Identification. In: IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, pp. 1-14. ISSN 1041-4347
  Contributo su Rivista
• Colomba, Luca; Cagliero, Luca; Garza, Paolo (2022)
  Mining SpatioTemporally Invariant Patterns. In: International Conference on Advances in Geographic Information Systems (SIGSPATIAL) 2022, Seattle, Washington (USA), 01/11/2022 - 04/11/2022. ISBN: 978-1-4503-9529-8
  Contributo in Atti di Convegno (Proceeding)
• 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)
• Monaco, Simone; Greco, Salvatore; Farasin, Alessandro; Colomba, Luca; Apiletti, Daniele; ... (2021)
  Attention to Fires: Multi-Channel Deep Learning Models for Wildfire Severity Prediction. In: APPLIED SCIENCES, vol. 11. ISSN 2076-3417
  Contributo su Rivista