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Alessandro Farasin
Titolo
Citata da
Citata da
Anno
Detection of GNSS ionospheric scintillations based on machine learning decision tree
N Linty, A Farasin, A Favenza, F Dovis
IEEE Transactions on Aerospace and Electronic Systems 55 (1), 303-317, 2018
762018
Double-step u-net: A deep learning-based approach for the estimation of wildfire damage severity through sentinel-2 satellite data
A Farasin, L Colomba, P Garza
Applied Sciences 10 (12), 4332, 2020
432020
Real-time object detection and tracking in mixed reality using Microsoft HoloLens
A Farasin, F Peciarolo, M Grangetto, E Gianaria, P Garza
VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on …, 2020
242020
A comparative analysis for air quality estimation from traffic and meteorological data
E Arnaudo, A Farasin, C Rossi
Applied Sciences 10 (13), 4587, 2020
192020
Attention to fires: Multi-channel deep learning models for wildfire severity prediction
S Monaco, S Greco, A Farasin, L Colomba, D Apiletti, P Garza, ...
Applied Sciences 11 (22), 11060, 2021
152021
Deep learning models for road passability detection during flood events using social media data
L Lopez-Fuentes, A Farasin, M Zaffaroni, H Skinnemoen, P Garza
Applied Sciences 10 (24), 8783, 2020
132020
Supervised Burned Areas Delineation by Means of Sentinel-2 Imagery and Convolutional Neural Networks.
A Farasin, L Colomba, G Palomba, G Nini, C Rossi
ISCRAM, 1060-1071, 2020
92020
Deep Learning models for passability detection of flooded roads
L Lopez-Fuentes, A Farasin, H Skinnemoen, P Garza
MediaEval 2018 Multimedia Benchmark Workshop 2283, 2018
82018
A machine learning approach to GNSS scintillation detection: automatic soft inspection of the events
A Favenza, A Farasin, N Linty, F Dovis
ION GNSS+ 2017, 4103, 2017
72017
Sentinel-1 Flood Delineation with Supervised Machine Learning
G Palomba, A Farasin, C Rossi
Proceedings of the 17th International Conference on Information Systems for …, 2020
62020
A dataset for burned area delineation and severity estimation from satellite imagery
L Colomba, A Farasin, S Monaco, S Greco, P Garza, D Apiletti, E Baralis, ...
Proceedings of the 31st ACM International Conference on Information …, 2022
52022
Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
A Farasin, F Peciarolo, M Grangetto, E Gianaria, P Garza
SciTePress, 2020
52020
A Machine Learning Approach to Monitor Air Quality from Traffic and Weather data
C Rossi, A Farasin, G Falcone, C Castelluccio
CEUR-WS 2492 (66-74), 2019
52019
Unsupervised Burned Area Estimation through Satellite Tiles: A Multimodal Approach by Means of Image Segmentation over Remote Sensing Imagery.
A Farasin, G Nini, P Garza, C Rossi
MACLEAN@ PKDD/ECML, 2019
52019
Double-Step deep learning framework to improve wildfire severity classification.
S Monaco, A Pasini, D Apiletti, L Colomba, A Farasin, P Garza, E Baralis
EDBT/ICDT Workshops, 2021
42021
AI-based flood event understanding and quantification using online media and satellite data
M Zaffaroni, L Lopez-Fuentes, A Farasin, P Garza, H Skinnemoen
CEUR WORKSHOP PROCEEDINGS 2670, 2019
42019
UAQE: Urban air quality evaluator
C Rossi, A Farasin, G Falcone, C Castelluccio
Ambient Intelligence: 15th European Conference, AmI 2019, Rome, Italy …, 2019
22019
Estimation of speed and distance of surrounding vehicles from a single camera
M Zaffaroni, M Grangetto, A Farasin
Image Analysis and Processing–ICIAP 2019: 20th International Conference …, 2019
12019
PERCEIVE: Precipitation Data Characterization by means on Frequent Spatio-Temporal Sequences
A Farasin, P Garza
ISCRAM, 1081, 2018
12018
Data science for geo-referenced and heterogeneous data analysis with applications in the emergency management domain
A Farasin
Politecnico di Torino, 2021
2021
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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