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COLOMBA, LUCA
Dipartimento di Automatica e Informatica
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Risultati 1 - 8 di 8 (tempo di esecuzione: 0.007 secondi).
ITALIC: An Italian Intent Classification Dataset
2023 Koudounas, Alkis; LA QUATRA, Moreno; Vaiani, Lorenzo; Colomba, Luca; Attanasio, Giuseppe; Pastor, Eliana; Cagliero, Luca; Baralis, Elena
ViGEO: an Assessment of Vision GNNs in Earth Observation
2023 Colomba, Luca; Garza, Paolo
Vision Transformers for Burned Area Delineation
2023 Rege Cambrin, Daniele; Colomba, Luca; Garza, Paolo
A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery
2022 Colomba, Luca; Farasin, Alessandro; Monaco, Simone; Greco, Salvatore; Garza, Paolo; Apiletti, Daniele; Baralis, Elena; Cerquitelli, Tania
Mining SpatioTemporally Invariant Patterns
2022 Colomba, Luca; Cagliero, Luca; Garza, Paolo
Double-Step deep learning framework to improve wildfire severity classification
2021 Monaco, Simone; Pasini, Andrea; Apiletti, Daniele; Colomba, Luca; Farasin, Alessandro; Garza, Paolo; Baralis, Elena
Improving Wildfire Severity Classification of Deep Learning U-Nets from Satellite Images
2020 Monaco, Simone; Pasini, Andrea; Apiletti, Daniele; Colomba, Luca; Garza, Paolo; Baralis, ELENA MARIA
Supervised Burned Areas delineation by means of Sentinel-2 imagery and Convolutional Neural Networks
2020 Farasin, Alessandro; Colomba, Luca; Palomba, Giulio; Nini, Giovanni; Rossi, Claudio
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| ITALIC: An Italian Intent Classification Dataset / Koudounas, Alkis; LA QUATRA, Moreno; Vaiani, Lorenzo; Colomba, Luca; Attanasio, Giuseppe; Pastor, Eliana; Cagliero, Luca; Baralis, Elena. - ELETTRONICO. - (2023), pp. 2153-2157. (Intervento presentato al convegno INTERSPEECH 2023 tenutosi a Dublin (Ireland) nel 20 August - 24 August 2023) [10.21437/Interspeech.2023-1980]. | 1-gen-2023 | Alkis KoudounasMoreno La QuatraLorenzo VaianiLuca ColombaGiuseppe AttanasioEliana PastorLuca CaglieroElena Baralis | italic_oa.pdf; koudounas23_interspeech.pdf |
| ViGEO: an Assessment of Vision GNNs in Earth Observation / Colomba, Luca; Garza, Paolo. - ELETTRONICO. - (2023), pp. 816-822. (Intervento presentato al convegno International Workshop on Spatial and Spatiotemporal Data Mining (SSTDM workshop at ICDM2023) tenutosi a Shanghai, China nel 01/12/2023 - 04/12/2023) [10.1109/ICDMW60847.2023.00110]. | 1-gen-2023 | Colomba, LucaGarza, Paolo | ViGEO_paper.pdf; ViGEO_an_Assessment_of_Vision_GNNs_in_Earth_Observation.pdf |
| Vision Transformers for Burned Area Delineation / Rege Cambrin, Daniele; Colomba, Luca; Garza, Paolo. - 3343:(2023). (Intervento presentato al convegno MACLEAN: MAChine Learning for EArth ObservatioN (workshop @ECML/PKDD2022) tenutosi a Grenoble (FR) nel 19/09/2022). | 1-gen-2023 | Rege Cambrin,DanieleColomba, LucaGarza, Paolo | MACLEAN2022_paper.pdf; MACLEAN2022_paper_final.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.pdf; BurnedAreaDatasetPaper.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 |
| 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 |
| 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.pdf; 09247550.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 |