Improving Wildfire Severity Classification of Deep Learning U-Nets from Satellite Images. - Simone Monaco; Andrea Pasini; Daniele Apiletti; Luca Colomba; Paolo Garza; Elena Baralis (IEEE BigData, 2020)

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 (IEEE BigData, 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 (EDBT/ICDT Workshops, 2021)

Experimental Comparison of Theory-Guided Deep Learning Algorithms. - Simone Monaco; Daniele Apiletti (ADBIS (Short Papers), 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 (CIKM, 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 (EDBT/ICDT Workshops, 2022)

Satellite Burned Area Dataset. - Luca Colomba; Alessandro Farasin; Simone Monaco; Salvatore Greco; Paolo Garza; Daniele Apiletti; Elena Baralis; Tania Cerquitelli (Zenodo, 2022)

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 (EVALITA, 2023)

Lorentz-Invariant Augmentation for High-Energy Physics Deep Learning Models. - Simone Monaco; Sebastiano Barresi; Daniele Apiletti (PKDD/ECML Workshops (3), 2023)

Uncertainty-aware segmentation for rainfall prediction post processing. - Simone Monaco; Luca Monaco; Daniele Apiletti (CoRR, 2024)

Deep Probability Segmentation: Are segmentation models probability estimators? - Simone Fassio; Simone Monaco; Daniele Apiletti (CoRR, 2024)

Quantify production planning efficiency through predictive modeling in manufacturing systems. - Simone Monaco; Daniele Apiletti; Andrea Francica; Tania Cerquitelli (Comput. Ind. Eng., 2025)

Uncertainty-aware methods for enhancing rainfall prediction with deep-learning based post-processing segmentation. - Simone Monaco; Luca Monaco; Daniele Apiletti; Roberto Cremonini 001; Secondo Barbero (Comput. Geosci., 2025)