A novel beach litter analysis system based on UAV images and Convolutional Neural Networks. - Vincenzo Mariano Scarrica; Pietro Patrizio Ciro Aucelli; Cosimo Cagnazzo; Angelo Casolaro; Pierpaolo Fiore; Marco La Salandra; Angela Rizzo; Giovanni Scardino; Giovanni Scicchitano; Antonino Staiano (Ecol. Informatics, 2022)

Time Series Prediction with Missing Data by an Iterated Deep Gaussian Process. - Francesco Camastra; Angelo Casolaro; Gennaro Iannuzzo (WIRN, 2023)

Intelligent Management of Video-Monitored Parking Areas. - Vincenzo Mariano Scarrica; Angelo Casolaro; Gennaro Iannuzzo; Antonino Staiano (WIRN, 2023)

Deep Learning for Time Series Forecasting: Advances and Open Problems. - Angelo Casolaro; Vincenzo Capone; Gennaro Iannuzzo; Francesco Camastra (Inf., 2023)

Manifold learning by a deep Gaussian process autoencoder. - Francesco Camastra; Angelo Casolaro; Gennaro Iannuzzo (Neural Comput. Appl., 2023)

Federated Learning and Crowdsourced Weather Data: Practice and Experience. - Ciro Giuseppe De Vita; Gennaro Mellone; Angelo Casolaro; Massimiliano Giordano Orsini; José Luis González 002; Angelo Ciaramella (e-Science, 2024)

An integrated intelligent surveillance system for Industrial areas. - Francesco Camastra; Angelo Ciaramella; Angelo Casolaro; Pasquale De Trino; Alessio Ferone; Giovanni Hauber; Gennaro Iannuzzo; Vincenzo Mariano Scarrica; Antonio Junior Spoleto; Antonino Staiano; Maria Concetta Vitale (Ital-IA, 2024)

Flow Matching Posterior Estimation for Simulation-Based Atmospheric Retrieval of Exoplanets. - Massimiliano Giordano Orsini; Alessio Ferone; Laura Inno; Angelo Casolaro; Antonio Maratea (IEEE Access, 2025)

Predicting ground-level nitrogen dioxide concentrations using the BaYesian attention-based deep neural network. - Angelo Casolaro; Vincenzo Capone; Francesco Camastra (Ecol. Informatics, 2025)

Spatio-temporal prediction using graph neural networks: A survey. - Vincenzo Capone; Angelo Casolaro; Francesco Camastra (Neurocomputing, 2025)