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2020 – today
- 2024
[i4]Daniele Rege Cambrin, Luca Colomba, Paolo Garza:
CaBuAr: California Burned Areas dataset for delineation. CoRR abs/2401.11519 (2024)- [i3]Luca Colomba, Paolo Garza:
ViGEO: an Assessment of Vision GNNs in Earth Observation. CoRR abs/2402.09962 (2024) - [i2]Daniele Rege Cambrin, Gabriele Scaffidi Militone, Luca Colomba, Giovanni Malnati, Daniele Apiletti, Paolo Garza:
Level Up Your Tutorials: VLMs for Game Tutorials Quality Assessment. CoRR abs/2408.08396 (2024) - 2023
- [j1]Luca Colomba
, Luca Cagliero, Paolo Garza:
Density-Based Clustering by Means of Bridge Point Identification. IEEE Trans. Knowl. Data Eng. 35(11): 11274-11287 (2023) - [c8]Luca Colomba, Paolo Garza:
ViGEO: an Assessment of Vision GNNs in Earth Observation. ICDM (Workshops) 2023: 816-822 - [c7]Alkis Koudounas, Moreno La Quatra, Lorenzo Vaiani, Luca Colomba, Giuseppe Attanasio, Eliana Pastor, Luca Cagliero, Elena Baralis:
ITALIC: An Italian Intent Classification Dataset. INTERSPEECH 2023: 2153-2157 - [i1]Alkis Koudounas, Moreno La Quatra, Lorenzo Vaiani, Luca Colomba, Giuseppe Attanasio, Eliana Pastor, Luca Cagliero, Elena Baralis:
ITALIC: An Italian Intent Classification Dataset. CoRR abs/2306.08502 (2023) - 2022
- [c6]Luca Colomba, Alessandro Farasin, Simone Monaco, Salvatore Greco, Paolo Garza, Daniele Apiletti, Elena Baralis, Tania Cerquitelli:
A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery. CIKM 2022: 3893-3897 - [c5]Luca Colomba, Luca Cagliero, Paolo Garza:
Mining spatiotemporally invariant patterns. SIGSPATIAL/GIS 2022: 63:1-63:4 - [c4]Daniele Rege Cambrin, Luca Colomba, Paolo Garza:
Vision Transformers for Burned Area Delineation. MACLEAN@PKDD/ECML 2022 - [d1]Luca Colomba, Alessandro Farasin, Simone Monaco, Salvatore Greco, Paolo Garza, Daniele Apiletti, Elena Baralis, Tania Cerquitelli:
Satellite Burned Area Dataset. Zenodo, 2022
- 2021
- [c3]Simone Monaco, Andrea Pasini, Daniele Apiletti, Luca Colomba, Alessandro Farasin, Paolo Garza, Elena Baralis:
Double-Step deep learning framework to improve wildfire severity classification. EDBT/ICDT Workshops 2021 - 2020
- [c2]Simone Monaco, Andrea Pasini, Daniele Apiletti, Luca Colomba, Paolo Garza, Elena Baralis:
Improving Wildfire Severity Classification of Deep Learning U-Nets from Satellite Images. IEEE BigData 2020: 5786-5788 - [c1]Alessandro Farasin, Luca Colomba, Giulio Palomba, Giovanni Nini:
Supervised Burned Areas Delineation by Means of Sentinel-2 Imagery and Convolutional Neural Networks. ISCRAM 2020: 1060-1071
Coauthor Index
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