Publicação
Special Issue: Generative Models in Artificial Intelligence and Their Applications
| dc.contributor.author | Castelli, Mauro | |
| dc.contributor.author | Manzoni, Luca | |
| dc.contributor.institution | Information Management Research Center (MagIC) - NOVA Information Management School | |
| dc.contributor.institution | NOVA Information Management School (NOVA IMS) | |
| dc.contributor.pbl | MDPI - Multidisciplinary Digital Publishing Institute | |
| dc.date.accessioned | 2022-05-13T22:35:31Z | |
| dc.date.available | 2022-05-13T22:35:31Z | |
| dc.date.issued | 2022-05-01 | |
| dc.description | Castelli, M. (Guest ed.), & Manzoni, L. (Guest ed.) (2022). Special Issue: Generative Models in Artificial Intelligence and Their Applications. Applied Sciences (Switzerland), 12(9), [4127]. https://doi.org/10.3390/app12094127 | |
| dc.description.abstract | In recent years, artificial intelligence has been used to generate a significant amount of high-quality data, such as images, music, and videos. The creation of such a vast amount of synthetic data was made possible due to the improved performance of different machine learning techniques, such as artificial neural networks. Considering the increased interest in this area, new techniques for automatic data generation and augmentation have recently been proposed. For instance, generative adversarial networks (GANs) and their variants are nowadays popular techniques in this research field. The creation of synthetic data was also achieved with evolutionary-based techniques, for instance, in the context of multimedia artifacts creation | en |
| dc.description.version | publishersversion | |
| dc.description.version | published | |
| dc.format.extent | 3 | |
| dc.format.extent | 160151 | |
| dc.identifier.doi | 10.3390/app12094127 | |
| dc.identifier.issn | 2076-3417 | |
| dc.identifier.other | PURE: 43888388 | |
| dc.identifier.other | PURE UUID: 32669e90-9786-4713-a076-770f144de244 | |
| dc.identifier.other | Scopus: 85129200603 | |
| dc.identifier.other | WOS: 000795230600001 | |
| dc.identifier.other | ORCID: /0000-0002-8793-1451/work/113025577 | |
| dc.identifier.uri | http://hdl.handle.net/10362/137900 | |
| dc.identifier.url | https://www.scopus.com/pages/publications/85129200603 | |
| dc.identifier.url | https://www.webofscience.com/wos/woscc/full-record/WOS:000795230600001 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.subject | evolutionary computation | |
| dc.subject | genetic programming | |
| dc.subject | generative models | |
| dc.subject | data generation | |
| dc.subject | data augmentation | |
| dc.subject | images generation | |
| dc.subject | algorithmic music | |
| dc.subject | real-world applications | |
| dc.title | Special Issue: Generative Models in Artificial Intelligence and Their Applications | en |
| dc.type | editorial | |
| degois.publication.firstPage | 1 | |
| degois.publication.issue | 9 | |
| degois.publication.lastPage | 3 | |
| degois.publication.title | Applied Sciences | |
| degois.publication.volume | 12 | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess |
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