COLOMBA, LUCA

COLOMBA, LUCA  

Dipartimento di Automatica e Informatica  

040225  

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Attention to Fires: Multi-Channel Deep Learning Models for Wildfire Severity Prediction / Monaco, Simone; Greco, Salvatore; Farasin, Alessandro; Colomba, Luca; Apiletti, Daniele; Garza, Paolo; Cerquitelli, Tania; Baralis, Elena. - In: APPLIED SCIENCES. - ISSN 2076-3417. - ELETTRONICO. - 11:22(2021). [10.3390/app112211060] 1-gen-2021 Monaco, SimoneGreco, SalvatoreFarasin, AlessandroColomba, LucaApiletti, DanieleGarza, PaoloCerquitelli, TaniaBaralis, Elena applsci-11-11060.pdf
A Data-Driven Based Dynamic Rebalancing Methodology for Bike Sharing Systems / Cipriano, Marco; Colomba, Luca; Garza, Paolo. - In: APPLIED SCIENCES. - ISSN 2076-3417. - ELETTRONICO. - 11:15(2021). [10.3390/app11156967] 1-gen-2021 Luca ColombaPaolo Garza + applsci-11-06967.pdf
A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery / Colomba, Luca; Farasin, Alessandro; Monaco, Simone; Greco, Salvatore; Garza, Paolo; Apiletti, Daniele; Baralis, Elena; Cerquitelli, Tania. - ELETTRONICO. - (2022), pp. 3893-3897. ((Intervento presentato al convegno International Conference on Information and Knowledge Management (CIKM) 2022 tenutosi a Atlanta (Georgia, USA) nel 17/10/2022 - 21/10/2022 [10.1145/3511808.3557528]. 1-gen-2022 Colomba,LucaFarasin,AlessandroMonaco,SimoneGreco,SalvatoreGarza,PaoloApiletti,DanieleBaralis,ElenaCerquitelli,Tania 3511808.3557528.pdfBurnedAreaDatasetPaper.pdf
Double-Step deep learning framework to improve wildfire severity classification / Monaco, Simone; Pasini, Andrea; Apiletti, Daniele; Colomba, Luca; Farasin, Alessandro; Garza, Paolo; Baralis, Elena. - ELETTRONICO. - (2021). ((Intervento presentato al convegno Workshops of the 24th International Conference on Extending Database Technology/24th International Conference on Database Theory, EDBT-ICDT 2021 tenutosi a Nicosia (Cyprus) nel March 23-26, 2021. 1-gen-2021 Monaco, SimonePasini, AndreaApiletti, DanieleColomba, LucaFarasin, AlessandroGarza, PaoloBaralis, Elena Rescue_DarliAP2020.pdf
Double-Step U-Net: A Deep Learning-Based Approach for the Estimation of Wildfire Damage Severity through Sentinel-2 Satellite Data / Farasin, Alessandro; Colomba, Luca; Garza, Paolo. - In: APPLIED SCIENCES. - ISSN 2076-3417. - ELETTRONICO. - 10:12(2020). [10.3390/app10124332] 1-gen-2020 Alessandro FarasinLuca ColombaPaolo Garza applsci-10-04332.pdf
Improving Wildfire Severity Classification of Deep Learning U-Nets from Satellite Images / Monaco, Simone; Pasini, Andrea; Apiletti, Daniele; Colomba, Luca; Garza, Paolo; Baralis, ELENA MARIA. - ELETTRONICO. - (2020), pp. 5786-5788. ((Intervento presentato al convegno 2020 IEEE International Conference on Big Data tenutosi a Atlanta (US) nel December 10-13, 2020 [10.1109/BigData50022.2020.9377867]. 1-gen-2020 Simone MonacoAndrea PasiniDaniele ApilettiLuca ColombaPaolo GarzaElena Baralis IEEE_Conference_BigData_2020.pdf09247550.pdf
Mining SpatioTemporally Invariant Patterns / Colomba, Luca; Cagliero, Luca; Garza, Paolo. - ELETTRONICO. - (2022). ((Intervento presentato al convegno International Conference on Advances in Geographic Information Systems (SIGSPATIAL) 2022 tenutosi a Seattle, Washington (USA) nel 01/11/2022 - 04/11/2022 [10.1145/3557915.3560998]. 1-gen-2022 Colomba,LucaCagliero,LucaGarza,Paolo 3557915.3560998.pdf
Supervised Burned Areas delineation by means of Sentinel-2 imagery and Convolutional Neural Networks / Farasin, Alessandro; Colomba, Luca; Palomba, Giulio; Nini, Giovanni; Rossi, Claudio. - ELETTRONICO. - (2020), pp. 1060-1071. ((Intervento presentato al convegno 17th International Conference on Information Systems for Crisis Response And Management (ISCRAM 2020) tenutosi a Blacksburg, Virginia (USA) nel May 24-27, 2020. 1-gen-2020 Farasin, AlessandroColomba, LucaRossi, Claudio + 2297_AlessandroFarasin_etal2020.pdf
Vision Transformers for Burned Area Delineation / Rege Cambrin, Daniele; Colomba, Luca; Garza, Paolo. - (In corso di stampa). ((Intervento presentato al convegno MACLEAN: MAChine Learning for EArth ObservatioN (workshop @ECML/PKDD2022) tenutosi a Grenoble (FR) nel 19/09/2022. In corso di stampa Rege Cambrin,DanieleColomba, LucaGarza, Paolo MACLEAN2022_paper.pdf