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Simone Monaco
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2020 – today
- 2024
- [i2]Simone Monaco, Luca Monaco, Daniele Apiletti:
Uncertainty-aware segmentation for rainfall prediction post processing. CoRR abs/2408.16792 (2024) - [i1]Simone Fassio, Simone Monaco, Daniele Apiletti:
Deep Probability Segmentation: Are segmentation models probability estimators? CoRR abs/2409.12535 (2024) - 2023
- [c7]Alkis Koudounas, Flavio Giobergia, Irene Benedetto, Simone Monaco, Luca Cagliero, Daniele Apiletti, Elena Baralis:
ba휌tti at GeoLingIt: Beyond Boundaries, Enhancing Geolocation Prediction and Dialect Classification on Social Media in Italy. EVALITA 2023 - 2022
- [c6]Simone Monaco
, Daniele Apiletti
Experimental Comparison of Theory-Guided Deep Learning Algorithms. ADBIS (Short Papers) 2022: 256-265 - [c5]Luca Colomba, Alessandro Farasin, Simone Monaco
A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery. CIKM 2022: 3893-3897 - [c4]Simone Monaco, Paolo Bethaz, Daniele Apiletti, Fabrizio Pio Baldini, Carlo Caso, Tania Cerquitelli:
Exploring waste-collection fleet data: challenges in a real-world use case. EDBT/ICDT Workshops 2022 - [d1]Luca Colomba
Satellite Burned Area Dataset. Zenodo, 2022 - 2021
- [c3]Simone Monaco
Cyst segmentation on kidney tubules by means of U-Net deep-learning models. IEEE BigData 2021: 3923-3926 - [c2]Simone Monaco, Andrea Pasini, Daniele Apiletti, Luca Colomba, Alessandro Farasin, Paolo Garza, Elena Baralis:
Double-Step deep learning framework to improve wildfire severity classification. EDBT/ICDT Workshops 2021 - 2020
- [c1]Simone Monaco
Improving Wildfire Severity Classification of Deep Learning U-Nets from Satellite Images. IEEE BigData 2020: 5786-5788
Coauthor Index
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last updated on 2024-10-21 21:30 CEST by the dblp team
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