CRIS Current Research Information System

EVANGELISTA, DAVIDE

EVANGELISTA, DAVIDE  

DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA  

Ricercatori a tempo determinato  

Mostra records
Risultati 1 - 10 di 10 (tempo di esecuzione: 0.021 secondi).
Titolo Autore(i) Anno Periodico Editore Tipo File
Enhancing Food Quality Analysis: Deep Neural Network Inversion of NMRD Profiles with Quadrupolar Dips Davide Evangelista, Liwei Hu, Giovanni V. Spinelli, Fabiana Zama 2024-01-01 - - 4.03 Poster -
Enhancing NMR Analysis: Deep Neural Network Inversion of NMRD Profiles with Quadrupolar Dips Spinelli, GIOVANNI VITO; Zama, Fabiana; Evangelista, Davide; Hu, Liwei 2024-01-01 - - 4.02 Riassunto (Abstract) -
Inpainting with style: forcing style coherence to image inpainting with deep image prior Morotti, Elena; Merizzi, Fabio; Evangelista, Davide; Cascarano, Pasquale 2024-01-01 FRONTIERS IN COMPUTER SCIENCE - 1.01 Articolo in rivista fcomp-06-1478233 (1).pdf
Neural network-based inversion of NMR dispersion profiles for enhanced analysis of food systems Spinelli, Giovanni Vito; Evangelista, Davide; Hu, Liwei; Zama, Fabiana 2024-01-01 NEURAL COMPUTING & APPLICATIONS - 1.01 Articolo in rivista NMR_net_springer.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
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
Dissecting FLOPs Along Input Dimensions for GreenAI Cost Estimations Asperti, Andrea; Evangelista, Davide; Marzolla, Moreno 2022-01-01 - Springer 4.01 Contributo in Atti di convegno 2107.11949.pdf
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