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

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期刊全称Artificial Intelligence in Music, Sound, Art and Design
期刊简称10th International C
影响因子2023Juan Romero,Tiago Martins,Nereida Rodríguez-Fernán
视频video
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Artificial Intelligence in Music, Sound, Art and Design; 10th International C Juan Romero,Tiago Martins,Nereida Rodríguez-Fernán Conference
影响因子.This book constitutes the refereed proceedings of the 10th European Conference on Artificial Intelligence in Music, Sound, Art and Design, EvoMUSART 2021, held as part of Evo* 2021, as Virtual Event, in April 2021, co-located with the Evo* 2021 events, EvoCOP, EvoApplications, and EuroGP. .The 24 revised full papers and 7 short papers presented in this book were carefully reviewed and selected from 66 submissions. They cover a wide range of topics and application areas, including generative approaches to music and visual art, deep learning, and architecture..
Pindex Conference proceedings 2021
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https://doi.org/10.1007/978-3-030-72914-1artificial intelligence; artificial neural network; evolutionary computation; swarm; music; sound; art; des
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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.
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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 properties
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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
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