Spatio-Temporal Machine Learning for Ecology and Crisis Management

Corso di laurea magistrale

• Business intelligence per big data. A.A. 2022/23, INGEGNERIA GESTIONALE. Collaboratore del corso
• Business intelligence per big data. A.A. 2023/24, INGEGNERIA GESTIONALE. Collaboratore del corso
• Business intelligence per big data. A.A. 2024/25, INGEGNERIA GESTIONALE. Collaboratore del corso
• Data Science and Database Technology. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Data Science e Tecnologie per le Basi di Dati. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Data Science e Tecnologie per le Basi di Dati. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Data Science e Tecnologie per le Basi di Dati. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso

• Rege Cambrin, Daniele (2026)
  Spatio-Temporal Machine Learning for Ecology and Crisis Management. relatore: GARZA, PAOLO; APILETTI, DANIELE; , 38. XXXVIII Ciclo, P.: 139
  Doctoral Thesis
• Rege Cambrin, Daniele; Poeta, Eleonora; Pastor, Eliana; Corley, Isaac; Cerquitelli, ... (2025)
  HydroChronos: Forecasting Decades of Surface Water Change. In: 33rd ACM International Conference on Advances in Geographic Information Systems, Minneapolis (USA), November 3 - 6, 2025, pp. 265-276. ISBN: 979-8-4007-2086-4
  Contributo in Atti di Convegno (Proceeding)
• Pertino, Paolo; Lomolino, Simone; Pavarino, Leonardo; Miotto, Enrico; Cambrin, Daniele ... (2025)
  Dual-Spectrum All-Sky camera Cloud Classifier by means of Computer Vision Models. In: 2025 5th International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Zanzibar (Tza), 16-19 October 2025, pp. 1-6. ISBN: 979-8-3315-3556-8
  Contributo in Atti di Convegno (Proceeding)
• Rege Cambrin, Daniele; Poeta, Eleonora; Pastor, Eliana; Cerquitelli, Tania; Baralis, ... (2025)
  KAN You See It? KANs and Sentinel for Effective and Explainable Crop Field Segmentation. In: European Conference on Computer Vision, Milan (ITA), September 29–October 4, 2024, pp. 115-131. ISSN 0302-9743. ISBN: 978-3-031-91834-6
  Contributo in Atti di Convegno (Proceeding)
• Rege Cambrin, Daniele; Scaffidi Militone, Gabriele; Colomba, Luca; Malnati, Giovanni; ... (2025)
  Level Up Your Tutorials: VLMs for Game Tutorials Quality Assessment. In: CV2: Computer Vision for Videogames Workshop at ECCV2024, Milan (ITA), September 29–October 4, 2024, pp. 374-389. ISSN 0302-9743. ISBN: 978-3-031-92386-9
  Contributo in Atti di Convegno (Proceeding)
• Cambrin, Daniele Rege; Colomba, Luca; Garza, Paolo (2025)
  Magnifier: A Multigrained Neural Network-Based Architecture for Burned Area Delineation. In: IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, vol. 18, pp. 12263-12277. ISSN 1939-1404
  Contributo su Rivista
• Rege Cambrin, Daniele; Corley, Isaac; Garza, Paolo (2025)
  Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height Estimation. In: European Conference on Computer Vision, Milan (ITA), September 29–October 4, 2024, pp. 71-86. ISSN 0302-9743. ISBN: 978-3-031-92386-9
  Contributo in Atti di Convegno (Proceeding)
• Tcaciuc, Claudiu Constantin; Rege Cambrin, Daniele; Garza, Paolo (2025)
  Multi Stage Retrieval for Web Search During Crisis. In: FUTURE INTERNET, vol. 17. ISSN 1999-5903
  Contributo su Rivista
• Rege Cambrin, Daniele; Cagliero, Luca; Garza, Paolo (2024)
  DQNC2S: DQN-based Cross-stream Crisis event Summarizer. In: 46th European Conference on Information Retrieval. ECIR 2024, Glasgow (UK), March 24–28, 2024, pp. 422-430. ISSN 0302-9743. ISBN: 978-3-031-56062-0
  Contributo in Atti di Convegno (Proceeding)
• REGE CAMBRIN, Daniele; Garza, Paolo (2024)
  Paraphrase Loss for Abstractive Summarization. In: International Conference on Learning Representations, Vienna (AUT), May 11, 2024
  Contributo in Atti di Convegno (Proceeding)
• Rege Cambrin, Daniele; Garza, Paolo (2024)
  QuakeSet: A Dataset and Low-Resource Models to Monitor Earthquakes through Sentinel-1. In: Information Systems for Crisis Response and Management Conference, Münster (DEU), May 25-29, 2024
  Contributo in Atti di Convegno (Proceeding)
• Pertino, Paolo; Pavarino, Leonardo; Lomolino, Simone; Miotto, Enrico; Cambrin, Daniele ... (2024)
  Ground-Based Contrail Detection by Means of Computer Vision Models: A Comparison Between Visible and Infrared Images. In: 8th IEEE International Forum on Research and Technologies for Society and Industry Innovation, RTSI 2024, Milan (ITA), 18-20 September 2024, pp. 254-259. ISBN: 979-8-3503-6213-8
  Contributo in Atti di Convegno (Proceeding)
• Rege Cambrin, Daniele; Gallipoli, Giuseppe; Benedetto, Irene; Cagliero, Luca; Garza, ... (2024)
  Beyond Accuracy Optimization: Computer Vision Losses for Large Language Model Fine-Tuning. In: The 2024 Conference on Empirical Methods in Natural Language Processing, Miami, Florida, November 12 –16, 2024, pp. 12060-12079
  Contributo in Atti di Convegno (Proceeding)
• Rege Cambrin, Daniele; Colomba, Luca; Garza, Paolo (2023)
  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)
• Morra, Lia; Azzari, Alberto; Bergamasco, Letizia; Braga, Marco; Capogrosso, Luigi; ... (2023)
  Designing Logic Tensor Networks for Visual Sudoku puzzle classification. In: 17th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2023), Certosa di Pontignano, Siena (Italia), July 3-5, 2023, pp. 223-232. ISSN 1613-0073
  Contributo in Atti di Convegno (Proceeding)
• Rege Cambrin, Daniele; Apiletti, Daniele; Garza, Paolo (2023)
  A Model-based Curriculum Learning Strategy for Training SegFormer. In: IEEE 17th International Conference Application of Information and Communication Technologies, Baku (AZ), 18-20 October 2023, pp. 1-6. ISBN: 979-8-3503-0356-8
  Contributo in Atti di Convegno (Proceeding)
• Gallipoli, Giuseppe; LA QUATRA, Moreno; REGE CAMBRIN, Daniele; Greco, Salvatore; ... (2023)
  DANTE at GeoLingIt: Dialect-Aware Multi-Granularity Pre-training for Locating Tweets within Italy. In: EVALITA 2023, Parma, September 7th-8th 2023
  Contributo in Atti di Convegno (Proceeding)
• Rege Cambrin, Daniele; Colomba, Luca; Garza, Paolo (2023)
  CaBuAr: California burned areas dataset for delineation [Software and Data Sets]. In: IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE, vol. 11, pp. 106-113. ISSN 2168-6831
  Contributo su Rivista