Edoardo Arnaudo

Thesis title

Semantic Image Segmentation in Remote Sensing Scenarios

Tutors

• Barbara Caputo
• Fabrizio Dominici

Master of Science

• Applied data science project. A.A. 2023/24, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
• Applied data science project. A.A. 2022/23, DATA SCIENCE AND ENGINEERING. Collaboratore del corso

• VANDAL - Visual and Multimodal Applied Learning Laboratory (DAUIN)

• Arnaudo, Edoardo; Barco, Luca; Merlo, Matteo; Rossi, Claudio (In stampa)
  Robust Burned Area Delineation through Multitask Learning. In: International Workshops of ECML PKDD 2023, Torino (IT), September 18 -22 2023
  Contributo in Atti di Convegno (Proceeding)
• Arnaudo, Edoardo; Lungo Vaschetti, Jacopo; Innocenti, Lorenzo; Barco, Luca; Lisi, ... (2024)
  FMARS: Annotating Remote Sensing Images for Disaster Management using Foundation Models. In: IEEE International Symposium on Geoscience and Remote Sensing (IGARSS) 2024, Athens (GR), 7-12 July 2024, pp. 3920-3924. ISBN: 979-8-3503-6032-5
  Contributo in Atti di Convegno (Proceeding)
• Rossi, Claudio; Arnaudo, Edoardo; Salza, Dario; Blanco, Giacomo; Bongiovanni, Lorenzo (2024)
  Transforming Data Coming from Social Media Streams into Disaster-Related Information. In: Responding to Extreme Weather Events / Sempere-Torres D., Karakostas A., Rossi C., Quevauviller P., S.L., Wiley, pp. 326-367. ISBN: 978-1-119-74158-9
  Contributo in Volume
• Urbanelli, Angelica; Barco, Luca; Arnaudo, Edoardo; Rossi, Claudio (2023)
  A Multimodal Supervised Machine Learning Approach for Satellite-based Wildfire Identification in Europe. In: 2023 IEEE International Symposium on Geoscience and Remote Sensing (IGARSS 2023), Pasadena (USA), 16 - 21 July, 2023, pp. 608-611. ISBN: 979-8-3503-2010-7
  Contributo in Atti di Convegno (Proceeding)
• Arnaudo, Edoardo; Blanco, Giacomo; Monti, Antonino; Bianco, Gabriele; Monaco, Cristina; ... (2023)
  A Comparative Evaluation of Deep Learning Techniques for Photovoltaic Panel Detection From Aerial Images. In: IEEE ACCESS, vol. 11, pp. 47579-47594. ISSN 2169-3536
  Contributo su Rivista