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FARASIN, ALESSANDRO
Dipartimento di Automatica e Informatica
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Risultati 1 - 13 di 13 (tempo di esecuzione: 0.004 secondi).
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
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
Real-time object detection and tracking in mixed reality using Microsoft HoloLens
2020 Farasin, Alessandro; Peciarolo, Francesco; Grangetto, Marco; Gianaria, Elena; Garza, Paolo
Sentinel-1 Flood Delineation with Supervised Machine Learning
2020 Palomba, Giulio; Farasin, Alessandro; Rossi, Claudio
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
A Machine Learning Approach to Monitor Air Quality from Traffic and Weather data
2019 Rossi, C.; Farasin, A.; Falcone, G.; Castelluccio, C.
AI-Based Flood Event Understanding and Quantifying Using Online Media and Satellite Data
2019 Zaffaroni, Mirko; Lopez Fuentes, Laura; Farasin, Alessandro; Garza, Paolo; Skinnemoen, Harald
Estimation of Speed and Distance of Surrounding Vehicles from a Single Camera
2019 Zaffaroni, Mirko; Grangetto, Marco; Farasin, Alessandro
uAQE: Urban Air Quality Evaluator
2019 Rossi, C.; Farasin, A.; Falcone, G.; Castelluccio, C.
Unsupervised Burned Area Estimation through Satellite Tiles: A multimodal approach by means of image segmentation over remote sensing imagery
2019 Farasin, Alessandro; Nini, Giovanni; Garza, Paolo; Rossi, Claudio
Deep Learning Models for Passability Detection of Flooded Roads
2018 Lopez-Fuentes, Laura; Farasin, Alessandro; Skinnemoen, Harald; Garza, Paolo
PERCEIVE: Precipitation Data Characterization by means on Frequent Spatio-Temporal Sequences
2018 Farasin, Alessandro; Garza, Paolo
A machine learning approach to GNSS scintillation detection: automatic soft inspection of the events
2017 Favenza, A; Farasin, Alessandro; Linty, N; Dovis, F
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| 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 |
| 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 |
| Real-time object detection and tracking in mixed reality using Microsoft HoloLens / Farasin, Alessandro; Peciarolo, Francesco; Grangetto, Marco; Gianaria, Elena; Garza, Paolo. - ELETTRONICO. - 4:(2020), pp. 165-172. (Intervento presentato al convegno VISIGRAPP 2020 - 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications tenutosi a Valletta (MT) nel 27/02/2020 - 29/02/2020). | 1-gen-2020 | Alessandro FarasinMarco GrangettoPaolo Garza + | VISAPP_2020_21_postprint.pdf |
| Sentinel-1 Flood Delineation with Supervised Machine Learning / Palomba, Giulio; Farasin, Alessandro; Rossi, Claudio. - ELETTRONICO. - (2020), pp. 1072-1083. (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, AlessandroRossi, Claudio + | 2298_GiulioPalomba_etal2020.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 |
| A Machine Learning Approach to Monitor Air Quality from Traffic and Weather data / Rossi, C.; Farasin, A.; Falcone, G.; Castelluccio, C.. - ELETTRONICO. - 2492:(2019), pp. 66-74. (Intervento presentato al convegno 2019 Joint Poster and Workshop Sessions of AmI, AmI 2019 and 2019 European Conference on Ambient Intelligence tenutosi a (IT) nel 2019). | 1-gen-2019 | Rossi C.Farasin A.Castelluccio C. + | AmI_2019_CEURWS_postprint_main.pdf |
| AI-Based Flood Event Understanding and Quantifying Using Online Media and Satellite Data / Zaffaroni, Mirko; Lopez Fuentes, Laura; Farasin, Alessandro; Garza, Paolo; Skinnemoen, Harald. - ELETTRONICO. - 2670:(2019), pp. 1-3. (Intervento presentato al convegno MediaEval 2019 Multimedia Benchmark Workshop tenutosi a EURECOM - Sophia Antipolis nel 27/10/2019). | 1-gen-2019 | Alessandro FarasinPaolo Garza + | MediaEval_19_paper_47_editorial.pdf |
| Estimation of Speed and Distance of Surrounding Vehicles from a Single Camera / Zaffaroni, Mirko; Grangetto, Marco; Farasin, Alessandro. - ELETTRONICO. - LCNS 11751:(2019), pp. 388-398. (Intervento presentato al convegno ICIAP 2019 - International Conference on Image Analysis and Processing tenutosi a Trento (IT) nel 9 - 13 september 2019) [10.1007/978-3-030-30642-7_35]. | 1-gen-2019 | Marco GrangettoAlessandro Farasin + | - |
| uAQE: Urban Air Quality Evaluator / Rossi, C.; Farasin, A.; Falcone, G.; Castelluccio, C.. - ELETTRONICO. - LNCS 11912:(2019), pp. 337-343. (Intervento presentato al convegno AMI2019: European Conference on Ambient Intelligence 2019 tenutosi a Roma nel 13/11/2019 - 15/11/2019) [10.1007/978-3-030-34255-5_25]. | 1-gen-2019 | Rossi C.Farasin A.Castelluccio C. + | AmI_2019_paper_30_camera_ready_main.pdf; Rossi2019_Chapter_UAQEUrbanAirQualityEvaluator.pdf |
| Unsupervised Burned Area Estimation through Satellite Tiles: A multimodal approach by means of image segmentation over remote sensing imagery / Farasin, Alessandro; Nini, Giovanni; Garza, Paolo; Rossi, Claudio. - ELETTRONICO. - 2466:(2019), pp. 1-10. (Intervento presentato al convegno MACLEAN: MAChine Learning for EArth ObservatioN (workshop @ECML/PKDD2019) tenutosi a Wurzburg (DE) nel 20/09/2019). | 1-gen-2019 | Alessandro FarasinPaolo GarzaClaudio Rossi + | MACLEAN2019_paper_7.pdf; paper7.pdf |
| Deep Learning Models for Passability Detection of Flooded Roads / Lopez-Fuentes, Laura; Farasin, Alessandro; Skinnemoen, Harald; Garza, Paolo. - ELETTRONICO. - Vol-2283:(2018). (Intervento presentato al convegno Working Notes Proceedings of the MediaEval 2018 Workshop, Sophia Antipolis, France, 29-31 October 2018 tenutosi a Sophia Antipolis, France. nel 29/10/2018 - 31/10/2018). | 1-gen-2018 | Alessandro FarasinPaolo Garza + | MediaEval_18_paper_48.pdf |
| PERCEIVE: Precipitation Data Characterization by means on Frequent Spatio-Temporal Sequences / Farasin, Alessandro; Garza, Paolo. - ELETTRONICO. - (2018), pp. 1081-1088. (Intervento presentato al convegno 15th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2018), In-Cooperation with ACM SIGCAS tenutosi a Rochester, NY (USA) nel May 20-23, 2018). | 1-gen-2018 | Alessandro FarasinPaolo Garza | 1628_AlessandroFarasin+PaoloGarza2018.pdf |
| A machine learning approach to GNSS scintillation detection: automatic soft inspection of the events / Favenza, A; Farasin, Alessandro; Linty, N; Dovis, F. - ELETTRONICO. - (2017), pp. 4103-4111. (Intervento presentato al convegno 30th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2017) tenutosi a Portland, Oregon nel September 25 - 29, 2017). | 1-gen-2017 | FARASIN, ALESSANDROLinty, NDovis, F + | - |