Luca Colomba

According to our database, Luca Colomba authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Level Up Your Tutorials: VLMs for Game Tutorials Quality Assessment.

Daniele Rege Cambrin, Gabriele Scaffidi Militone, Luca Colomba, Giovanni Malnati, Daniele Apiletti, Paolo Garza

CoRR, 2024

CaBuAr: California Burned Areas dataset for delineation.

Daniele Rege Cambrin, Luca Colomba, Paolo Garza

CoRR, 2024

2023

Density-Based Clustering by Means of Bridge Point Identification.

Luca Colomba, Luca Cagliero, Paolo Garza

IEEE Trans. Knowl. Data Eng., November, 2023

ITALIC: An Italian Intent Classification Dataset.

Alkis Koudounas, Moreno La Quatra, Lorenzo Vaiani, Luca Colomba, Giuseppe Attanasio, Eliana Pastor, Luca Cagliero, Elena Baralis

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

ViGEO: an Assessment of Vision GNNs in Earth Observation.

Luca Colomba, Paolo Garza

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Satellite Burned Area Dataset.

Luca Colomba, Alessandro Farasin, Simone Monaco, Salvatore Greco, Paolo Garza, Daniele Apiletti, Elena Baralis, Tania Cerquitelli

Dataset, May, 2022

Vision Transformers for Burned Area Delineation.

Daniele Rege Cambrin, Luca Colomba, Paolo Garza

Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2022), 2022

Mining spatiotemporally invariant patterns.

Luca Colomba, Luca Cagliero, Paolo Garza

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery.

Luca Colomba, Alessandro Farasin, Simone Monaco, Salvatore Greco, Paolo Garza, Daniele Apiletti, Elena Baralis, Tania Cerquitelli

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Double-Step deep learning framework to improve wildfire severity classification.

Simone Monaco, Andrea Pasini, Daniele Apiletti, Luca Colomba, Alessandro Farasin, Paolo Garza, Elena Baralis

Proceedings of the Workshops of the EDBT/ICDT 2021 Joint Conference, 2021

2020

Supervised Burned Areas Delineation by Means of Sentinel-2 Imagery and Convolutional Neural Networks.

Alessandro Farasin, Luca Colomba, Giulio Palomba, Giovanni Nini

Proceedings of the 17th International Conference on Information Systems for Crisis Response and Management, 2020

Improving Wildfire Severity Classification of Deep Learning U-Nets from Satellite Images.

Simone Monaco, Andrea Pasini, Daniele Apiletti, Luca Colomba, Paolo Garza, Elena Baralis

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020