Simone Monaco - RankMe

16 papers A 1Journal 7Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enforcing domain constraints through Lagrangian primal-dual learning. Neural Comput. Appl. Simone Monaco, Flavio Giobergia, Alkis Koudounas, Daniele Apiletti
2026	—	`conf`	From Human to Scalable Annotation: Teaching LLMs to mimic experts labeling on Economic News Sentiment. EDBT/ICDT Workshops Michele Petrocelli, Andrea Rollin, Matteo Berta, Francesca Zafonte, Simone Monaco, Salvatore Lo Sardo, Daniele Apiletti, Daria Scacciatelli, Tania Cerquitelli
2025	J	`jnl`	A comparative study of neural ordinary differential equations and neural operators for modeling temporal dynamics. Neural Comput. Appl. Matteo Celia, Simone Monaco, Daniele Apiletti
2025	J	`jnl`	Assessing the Geographic Generalization and Physical Consistency of Generative Models for Climate Downscaling. CoRR Carlo Saccardi, Maximilian Pierzyna, Haitz Sáez de Ocáriz Borde, Simone Monaco, Cristian Meo, Pietro Liò, Rudolf Saathof, Geethu Joseph, Justin Dauwels
2025	J	`jnl`	Quantify production planning efficiency through predictive modeling in manufacturing systems. Comput. Ind. Eng. Simone Monaco, Daniele Apiletti, Andrea Francica, Tania Cerquitelli
2025	J	`jnl`	Uncertainty-aware methods for enhancing rainfall prediction with deep-learning based post-processing segmentation. Comput. Geosci. Simone Monaco, Luca Monaco, Daniele Apiletti, Roberto Cremonini, Secondo Barbero
2024	J	`jnl`	Deep Probability Segmentation: Are segmentation models probability estimators? CoRR Simone Fassio, Simone Monaco, Daniele Apiletti
2024	J	`jnl`	Uncertainty-aware segmentation for rainfall prediction post processing. CoRR Simone Monaco, Luca Monaco, Daniele Apiletti
2023	—	`conf`	Lorentz-Invariant Augmentation for High-Energy Physics Deep Learning Models. PKDD/ECML Workshops (3) Simone Monaco, Sebastiano Barresi, Daniele Apiletti
2023	—	`conf`	ba휌tti at GeoLingIt: Beyond Boundaries, Enhancing Geolocation Prediction and Dialect Classification on Social Media in Italy. EVALITA Alkis Koudounas, Flavio Giobergia, Irene Benedetto, Simone Monaco, Luca Cagliero, Daniele Apiletti, Elena Baralis
2022	A	`conf`	A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery. CIKM Luca Colomba, Alessandro Farasin, Simone Monaco, Salvatore Greco, Paolo Garza, Daniele Apiletti, Elena Baralis, Tania Cerquitelli
2022	—	`conf`	Experimental Comparison of Theory-Guided Deep Learning Algorithms. ADBIS (Short Papers) Simone Monaco, Daniele Apiletti
2022	—	`conf`	Exploring waste-collection fleet data: challenges in a real-world use case. EDBT/ICDT Workshops Simone Monaco, Paolo Bethaz, Daniele Apiletti, Fabrizio Pio Baldini, Carlo Caso, Tania Cerquitelli
2021	—	`conf`	Cyst segmentation on kidney tubules by means of U-Net deep-learning models. IEEE BigData Simone Monaco, Nicole Bussola, Sara Buttò, Diego Sona, Daniele Apiletti, Giuseppe Jurman, Elisa Viola, Marco Chierici, Christodoulos Xinaris, Vincenzo Viola
2021	—	`conf`	Double-Step deep learning framework to improve wildfire severity classification. EDBT/ICDT Workshops Simone Monaco, Andrea Pasini, Daniele Apiletti, Luca Colomba, Alessandro Farasin, Paolo Garza, Elena Baralis
2020	—	`conf`	Improving Wildfire Severity Classification of Deep Learning U-Nets from Satellite Images. IEEE BigData Simone Monaco, Andrea Pasini, Daniele Apiletti, Luca Colomba, Paolo Garza, Elena Baralis