Simone Monaco

According to our database, Simone Monaco authored at least 17 papers between 2020 and 2026.

Collaborative distances:

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

2026

Enforcing domain constraints through Lagrangian primal-dual learning.

Simone Monaco, Flavio Giobergia, Alkis Koudounas, Daniele Apiletti

Neural Comput. Appl., April, 2026

From Human to Scalable Annotation: Teaching LLMs to mimic experts labeling on Economic News Sentiment.

Michele Petrocelli, Andrea Rollin, Matteo Berta, Francesca Zafonte, Simone Monaco, Salvatore Lo Sardo, Daniele Apiletti, Daria Scacciatelli, Tania Cerquitelli

Proceedings of the Workshops of the EDBT/ICDT 2026 Joint Conference co-located with the EDBT/ICDT 2025 Joint Conference, 2026

2025

A comparative study of neural ordinary differential equations and neural operators for modeling temporal dynamics.

Matteo Celia, Simone Monaco, Daniele Apiletti

Neural Comput. Appl., October, 2025

Assessing the Geographic Generalization and Physical Consistency of Generative Models for Climate Downscaling.

Carlo Saccardi, Maximilian Pierzyna, Haitz Sáez de Ocáriz Borde, Simone Monaco, Cristian Meo, Pietro Liò, Rudolf Saathof, Geethu Joseph, Justin Dauwels

CoRR, October, 2025

Uncertainty-aware methods for enhancing rainfall prediction with deep-learning based post-processing segmentation.

Simone Monaco, Luca Monaco, Daniele Apiletti, Roberto Cremonini, Secondo Barbero

Comput. Geosci., 2025

Quantify production planning efficiency through predictive modeling in manufacturing systems.

Simone Monaco, Daniele Apiletti, Andrea Francica, Tania Cerquitelli

Comput. Ind. Eng., 2025

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

Lorentz-Invariant Augmentation for High-Energy Physics Deep Learning Models.

Simone Monaco, Sebastiano Barresi, Daniele Apiletti

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 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