Castelli, MauroManzoni, Luca2022-05-132022-05-132022-05-012076-3417PURE: 43888388PURE UUID: 32669e90-9786-4713-a076-770f144de244Scopus: 85129200603WOS: 000795230600001ORCID: /0000-0002-8793-1451/work/113025577http://hdl.handle.net/10362/137900Castelli, 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/app12094127In 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 creation3160151engevolutionary computationgenetic programminggenerative modelsdata generationdata augmentationimages generationalgorithmic musicreal-world applicationseditorial10.3390/app12094127https://www.scopus.com/pages/publications/85129200603https://www.webofscience.com/wos/woscc/full-record/WOS:000795230600001