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EVANGELISTA, DAVIDE

EVANGELISTA, DAVIDE  

DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA  

Assegnisti  

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Risultati 1 - 6 di 6 (tempo di esecuzione: 0.009 secondi).
Titolo Autore(i) Anno Periodico Editore Tipo File
A green prospective for learned post-processing in sparse-view tomographic reconstruction Morotti E.; Evangelista D.; Loli Piccolomini E. 2021-01-01 JOURNAL OF IMAGING - 1.01 Articolo in rivista jimaging-07-00139-v2.pdf
A Survey on Variational Autoencoders from a Green AI Perspective Asperti, Andrea; Evangelista, Davide; Loli Piccolomini, Elena 2021-01-01 SN COMPUTER SCIENCE - 1.01 Articolo in rivista Asperti2021_Article_ASurveyOnVariationalAutoencode.pdf
Ambiguity in Solving Imaging Inverse Problems with Deep-Learning-Based Operators Evangelista D.; Morotti E.; Piccolomini E.L.; Nagy J. 2023-01-01 JOURNAL OF IMAGING - 1.01 Articolo in rivista jimaging23.pdf
Dissecting FLOPs Along Input Dimensions for GreenAI Cost Estimations Asperti, Andrea; Evangelista, Davide; Marzolla, Moreno 2021-01-01 - Springer 4.01 Contributo in Atti di convegno 2107.11949.pdf
Image embedding for denoising generative models Asperti, Andrea; Evangelista, Davide; Marro, Samuele; Merizzi, Fabio 2023-01-01 ARTIFICIAL INTELLIGENCE REVIEW - 1.01 Articolo in rivista s10462-023-10504-5.pdf
RISING: A new framework for model-based few-view CT image reconstruction with deep learning Evangelista D.; Morotti E.; Loli Piccolomini E. 2023-01-01 COMPUTERIZED MEDICAL IMAGING AND GRAPHICS - 1.01 Articolo in rivista main - RISING.pdf