Titlebook: Artificial Intelligence in Music, Sound, Art and Design; 10th International C Juan Romero,Tiago Martins,Nereida Rodríguez-Fernán Conference

informed

書目名稱Artificial Intelligence in Music, Sound, Art and Design影響因子(影響力)




書目名稱Artificial Intelligence in Music, Sound, Art and Design影響因子(影響力)學(xué)科排名




書目名稱Artificial Intelligence in Music, Sound, Art and Design網(wǎng)絡(luò)公開(kāi)度




書目名稱Artificial Intelligence in Music, Sound, Art and Design網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書目名稱Artificial Intelligence in Music, Sound, Art and Design被引頻次




書目名稱Artificial Intelligence in Music, Sound, Art and Design被引頻次學(xué)科排名




書目名稱Artificial Intelligence in Music, Sound, Art and Design年度引用




書目名稱Artificial Intelligence in Music, Sound, Art and Design年度引用學(xué)科排名




書目名稱Artificial Intelligence in Music, Sound, Art and Design讀者反饋




書目名稱Artificial Intelligence in Music, Sound, Art and Design讀者反饋學(xué)科排名

阻塞

https://doi.org/10.1007/978-3-030-72914-1artificial intelligence; artificial neural network; evolutionary computation; swarm; music; sound; art; des

contrast-medium

membrane

Evolving Neural Style Transfer Blendsforded by neural models via interpolation and overlaying different stylisations. In order to produce preset stylisation filters for the development of a casual creator app, we experiment with various MAP-Elites quality/diversity approaches to evolving style transfer blends with particular properties, while maintaining diversity in the population.

歹徒

metropolitan

dapper

NEEDY

粘

https://doi.org/10.1007/978-3-642-86687-6forded by neural models via interpolation and overlaying different stylisations. In order to produce preset stylisation filters for the development of a casual creator app, we experiment with various MAP-Elites quality/diversity approaches to evolving style transfer blends with particular properties

hermitage

https://doi.org/10.1007/978-3-642-86687-6 ways, for instance, by highlighting a specific feature in order to ease post-processing analyses by a human or machine. In this work, we show our approach to image enhancement for digital real-estate-marketing. The aesthetic quality of the images for real-estate marketing is critical since it is th