CAPONE, VINCENZO
CAPONE, VINCENZO
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Risultati 1 - 8 di 8 (tempo di esecuzione: 0.002 secondi).
CDGAT: A conditioned diffusion-based graph attention network for spatio-temporal prediction
2026-01-01 Casolaro, Angelo; Orsini, Massimiliano Giordano; Capone, Vincenzo; Lettiero, Marco; Camastra, Francesco
Continuous Super-Resolution of Copernicus Atmosphere Images Using a Graph-Based Diffusion Model
2026-01-01 Casolaro, A.; Giordano Orsini, M.; Capone, V.; Lettiero, M.; Bouwmans, T.; Zakharova, A.; Camastra, F.
Deep Learning for Regular Raster Spatio-Temporal Prediction: An Overview
2025-01-01 Capone, Vincenzo; Casolaro, Angelo; Camastra, Francesco
Deep Learning for Time Series Forecasting: Advances and Open Problems
2023-01-01 Casolaro, A.; Capone, V.; Iannuzzo, G.; Camastra, F.
Environmental Spatiotemporal prediction with a Conditioned Diffusion-based Graph Attention model
2025-01-01 Casolaro, A.; Capone, V.; Giordano Orsini, M.; Camastra, F.
Predicting ground-level nitrogen dioxide concentrations using the BaYesian attention-based deep neural network
2025-01-01 Casolaro, A.; Capone, V.; Camastra, F.
Smart Traffic Lights System with Multi-agent Reinforcement Learning for Road Traffic Management
2026-01-01 Iannuzzo, G.; Casolaro, A.; Capone, V.; Ciaramella, A.; Camastra, F.; Di Capua, M.
Spatio-temporal prediction using graph neural networks: A survey
2025-01-01 Capone, V.; Casolaro, A.; Camastra, F.