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Artificial Intelligence in Music, So...
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Correia, João.
Artificial Intelligence in Music, Sound, Art and Design = 9th International Conference, EvoMUSART 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15–17, 2020, Proceedings /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Artificial Intelligence in Music, Sound, Art and Design/ edited by Juan Romero, Anikó Ekárt, Tiago Martins, João Correia.
其他題名:
9th International Conference, EvoMUSART 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15–17, 2020, Proceedings /
其他作者:
Correia, João.
面頁冊數:
XII, 227 p. 114 illus., 86 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Signal, Image and Speech Processing. -
電子資源:
https://doi.org/10.1007/978-3-030-43859-3
ISBN:
9783030438593
Artificial Intelligence in Music, Sound, Art and Design = 9th International Conference, EvoMUSART 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15–17, 2020, Proceedings /
Artificial Intelligence in Music, Sound, Art and Design
9th International Conference, EvoMUSART 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15–17, 2020, Proceedings /[electronic resource] :edited by Juan Romero, Anikó Ekárt, Tiago Martins, João Correia. - 1st ed. 2020. - XII, 227 p. 114 illus., 86 illus. in color.online resource. - Theoretical Computer Science and General Issues ;12103. - Theoretical Computer Science and General Issues ;9163.
A deep learning neural network for classifying good and bad photos -- Adapting and Enhancing Evolutionary Art for Casual Creation -- Comparing Fuzzy Rule Based Approaches for Music Genre Classification -- Quantum Zentanglement: Combining Picbreeder and Wave Function Collapse to Create Zentangles -- Emerging Technology System Evolution -- Fusion of Hilbert-Huang Transform and Deep Convolutional Neural Network for Predominant Musical Instruments Recognition -- Genetic Reverb: Synthesizing Artificial Reverberant Fields Via Genetic Algorithms -- Portraits of No One: An Interactive Installation -- Understanding Aesthetic Evaluation with Deep Learning -- An Aesthetic-Based Fitness Measure and a Framework for Guidance of Evolutionary Design in Architecture -- Objective Evaluation of Tonal Fitness for Chord Progressions -- Coevolving Artistic Images Using OMNIREP -- Sound Cells in Genetic Improvisation: An Evolutionary Model for Improvised Music -- Controlling Self-Organization in Generative Creative Systems -- Emulation Games. See and Be Seen, a Subjective Approach to Analog Computational Neuroscience.
This book constitutes the refereed proceedings of the 9th European Conference on Artificial Intelligence in Music, Sound, Art and Design, EvoMUSART 2020, held as part of Evo*2020, in Seville, Spain, in April 2020, co-located with the Evo*2020 events EuroGP, EvoCOP and EvoApplications. The 15 revised full papers presented were carefully reviewed and selected from 31 submissions. The papers cover a wide spectrum of topics and application areas, including generative approaches to music and visual art, deep learning, and architecture.
ISBN: 9783030438593
Standard No.: 10.1007/978-3-030-43859-3doiSubjects--Topical Terms:
670837
Signal, Image and Speech Processing.
LC Class. No.: QA75.5-76.95
Dewey Class. No.: 004.0151
Artificial Intelligence in Music, Sound, Art and Design = 9th International Conference, EvoMUSART 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15–17, 2020, Proceedings /
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