informed 发表于 2025-3-21 16:33:16
书目名称Artificial Intelligence in Music, Sound, Art and Design影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0162508<br><br> <br><br>书目名称Artificial Intelligence in Music, Sound, Art and Design影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0162508<br><br> <br><br>书目名称Artificial Intelligence in Music, Sound, Art and Design网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0162508<br><br> <br><br>书目名称Artificial Intelligence in Music, Sound, Art and Design网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0162508<br><br> <br><br>书目名称Artificial Intelligence in Music, Sound, Art and Design被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0162508<br><br> <br><br>书目名称Artificial Intelligence in Music, Sound, Art and Design被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0162508<br><br> <br><br>书目名称Artificial Intelligence in Music, Sound, Art and Design年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0162508<br><br> <br><br>书目名称Artificial Intelligence in Music, Sound, Art and Design年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0162508<br><br> <br><br>书目名称Artificial Intelligence in Music, Sound, Art and Design读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0162508<br><br> <br><br>书目名称Artificial Intelligence in Music, Sound, Art and Design读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0162508<br><br> <br><br>阻塞 发表于 2025-3-21 21:40:26
https://doi.org/10.1007/978-3-030-72914-1artificial intelligence; artificial neural network; evolutionary computation; swarm; music; sound; art; descontrast-medium 发表于 2025-3-22 01:23:48
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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 发表于 2025-3-22 12:25:03
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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 propertieshermitage 发表于 2025-3-23 07:56:37
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