Simone Monaco

According to our database, Simone Monaco authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Deep Probability Segmentation: Are segmentation models probability estimators?

Simone Fassio, Simone Monaco, Daniele Apiletti

CoRR, 2024

Uncertainty-aware segmentation for rainfall prediction post processing.

Simone Monaco, Luca Monaco, Daniele Apiletti

CoRR, 2024

2023

ba휌tti at GeoLingIt: Beyond Boundaries, Enhancing Geolocation Prediction and Dialect Classification on Social Media in Italy.

Alkis Koudounas, Flavio Giobergia, Irene Benedetto, Simone Monaco, Luca Cagliero, Daniele Apiletti, Elena Baralis

Proceedings of the Eighth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2023), 2023

2022

Satellite Burned Area Dataset.

Luca Colomba, Alessandro Farasin, Simone Monaco, Salvatore Greco, Paolo Garza, Daniele Apiletti, Elena Baralis, Tania Cerquitelli

Dataset, May, 2022

Exploring waste-collection fleet data: challenges in a real-world use case.

Simone Monaco, Paolo Bethaz, Daniele Apiletti, Fabrizio Pio Baldini, Carlo Caso, Tania Cerquitelli

Proceedings of the Workshops of the EDBT/ICDT 2022 Joint Conference, 2022

A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery.

Luca Colomba, Alessandro Farasin, Simone Monaco, Salvatore Greco, Paolo Garza, Daniele Apiletti, Elena Baralis, Tania Cerquitelli

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Experimental Comparison of Theory-Guided Deep Learning Algorithms.

Simone Monaco, Daniele Apiletti

Proceedings of the New Trends in Database and Information Systems, 2022

2021

Double-Step deep learning framework to improve wildfire severity classification.

Simone Monaco, Andrea Pasini, Daniele Apiletti, Luca Colomba, Alessandro Farasin, Paolo Garza, Elena Baralis

Proceedings of the Workshops of the EDBT/ICDT 2021 Joint Conference, 2021

Cyst segmentation on kidney tubules by means of U-Net deep-learning models.

Simone Monaco, Nicole Bussola, Sara Buttò, Diego Sona, Daniele Apiletti, Giuseppe Jurman, Elisa Viola, Marco Chierici, Christodoulos Xinaris, Vincenzo Viola

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Improving Wildfire Severity Classification of Deep Learning U-Nets from Satellite Images.

Simone Monaco, Andrea Pasini, Daniele Apiletti, Luca Colomba, Paolo Garza, Elena Baralis

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020