Autori: Joya Gonzalo
| Naslov | Computational framework for the evaluation of the composition and degradation state of metal heritage assets by deep learning (Article) |
| Autori | Stoean Ruxandra Bacanin Nebojsa  Stoean Catalin Ionescu Leonard Atencia Miguel Joya Gonzalo
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| Info | JOURNAL OF CULTURAL HERITAGE, (2023), vol. 64 br. , str. 198-206 |
| Projekat | Romanian Ministry of Research and Innovation [178PCE/2021, PN-III-P4-ID-PCE-2020-0788]; Object PErception and Reconstruction with deep neural Architectures ( OPERA ), within PNCDI III |
| Ispravka | Web of Science Članak Elečas Rang časopisa |
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| Naslov | On Using Perceptual Loss within the U-Net Architecture for the Semantic Inpainting of Textile Artefacts with Traditional Motifs (Proceedings Paper) |
| Autori | Stoean Catalin Bacanin Nebojsa Stoean Ruxandra Ionescu Leonard Alecsa Cristian Hotoleanu Mircea Atencia Miguel Joya Gonzalo
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| Info | 2022 24TH INTERNATIONAL SYMPOSIUM ON SYMBOLIC AND NUMERIC ALGORITHMS FOR SCIENTIFIC COMPUTING, SYNASC, (2022), vol. br. , str. 276-283 |
| Projekat | Romanian Ministry of Research and Innovation, CCCDI - UEFISCDI [178PCE/2021, PN-III-P4-ID-PCE-2020-0788]; "Plan Propio de la Universidad de Malaga" and "Integrated Engineering Systems group" [TIC-125] |
| Ispravka | Web of Science Članak |
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