FARASIN, ALESSANDRO

FARASIN, ALESSANDRO  

Dipartimento di Automatica e Informatica  

041561  

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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
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
Data science for geo-referenced and heterogeneous data analysis with applications in the emergency management domain / Farasin, Alessandro. - (2021 Sep 02), pp. 1-157. 2-set-2021 FARASIN, ALESSANDRO conv__phd_thesis_final__alessandro_farasin_pdfa.pdfphd_thesis__summary.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
A Comparative Analysis for Air Quality Estimation from Traffic and Meteorological Data / Arnaudo, Edoardo; Farasin, Alessandro; Rossi, Claudio. - In: APPLIED SCIENCES. - ISSN 2076-3417. - ELETTRONICO. - 10:13(2020). [10.3390/app10134587] 1-gen-2020 Edoardo ArnaudoAlessandro FarasinClaudio Rossi applsci-10-04587.pdf
Deep learning models for road passability detection during flood events using social media data / Lopez Fuentes, Laura; Farasin, Alessandro; Zaffaroni, Mirko; Skinnemoen, Harald; Garza, Paolo. - In: APPLIED SCIENCES. - ISSN 2076-3417. - ELETTRONICO. - 10:24(2020). [10.3390/app10248783] 1-gen-2020 Farasin, AlessandroGarza, Paolo + applsci-10-08783.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
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
Detection of GNSS Ionospheric Scintillations based on Machine Learning Decision Tree / Linty, Nicola; Farasin, Alessandro; Favenza, Alfredo; Dovis, Fabio. - In: IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS. - ISSN 0018-9251. - ELETTRONICO. - 55:1(2019), pp. 303-317. [10.1109/TAES.2018.2850385] 1-gen-2019 Linty, NicolaFarasin, AlessandroDovis, Fabio + 08398529.pdflinty2018detection.pdf
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]. 1-gen-2019 Rossi C.Farasin A.Castelluccio C. + AmI_2019_paper_30_camera_ready_main.pdfRossi2019_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.pdfpaper7.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 + -