Special Issue: Generative Models in Artificial Intelligence and Their Applications

Mauro Castelli (Guest editor), Luca Manzoni (Guest editor)

Research output: Contribution to journalEditorialpeer-review

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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
Original languageEnglish
Article number4127
Pages (from-to)1-3
Number of pages3
JournalApplied Sciences (Switzerland)
Volume12
Issue number9
DOIs
Publication statusPublished - 1 May 2022

Keywords

  • evolutionary computation
  • genetic programming
  • generative models
  • data generation
  • data augmentation
  • images generation
  • algorithmic music
  • real-world applications

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