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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

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Juan Romero

    1. University of A Coruña, A Coruña, Spain

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  2. Anikó Ekárt

    1. Aston University, Birmingham, UK

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  3. Tiago Martins

    1. University of Coimbra, Coimbra, Portugal

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  4. João Correia

    1. University of Coimbra, Coimbra, Portugal

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12103)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: EvoMUSART 2020.

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Table of contents (15 papers)

  1. Front Matter

    Pages i-xii
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  2. A Deep Learning Neural Network for Classifying Good and Bad Photos

    • Stephen Lou Banal, Vic Ciesielski
    Pages 1-16

  3. Adapting and Enhancing Evolutionary Art for Casual Creation

    • Simon Colton, Jon McCormack, Sebastian Berns, Elena Petrovskaya, Michael Cook
    Pages 17-34

  4. Comparing Fuzzy Rule Based Approaches for Music Genre Classification

    • Frederik Heerde, Igor Vatolkin, Günter Rudolph
    Pages 35-48

  5. Quantum Zentanglement: Combining Picbreeder and Wave Function Collapse to Create Zentangles®

    • Anna Krolikowski, Sarah Friday, Alice Quintanilla, Jacob Schrum
    Pages 49-65

  6. Emerging Technology System Evolution

    • Matthew Lewis
    Pages 66-79

  7. Fusion of Hilbert-Huang Transform and Deep Convolutional Neural Network for Predominant Musical Instruments Recognition

    • Xiaoquan Li, Kaiqi Wang, John Soraghan, Jinchang Ren
    Pages 80-89

  8. Genetic Reverb: Synthesizing Artificial Reverberant Fields via Genetic Algorithms

    • Edward Ly, Julián Villegas
    Pages 90-103

  9. Portraits of No One: An Interactive Installation

    • Tiago Martins, João Correia, Sérgio Rebelo, João Bicker, Penousal Machado
    Pages 104-117

  10. Understanding Aesthetic Evaluation Using Deep Learning

    • Jon McCormack, Andy Lomas
    Pages 118-133

  11. An Aesthetic-Based Fitness Measure and a Framework for Guidance of Evolutionary Design in Architecture

    • Manuel Muehlbauer, Jane Burry, Andy Song
    Pages 134-149

  12. Objective Evaluation of Tonal Fitness for Chord Progressions Using the Tonal Interval Space

    • María Navarro-Cáceres, Marcelo Caetano, Gilberto Bernardes
    Pages 150-164

  13. Coevolving Artistic Images Using OMNIREP

    • Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz
    Pages 165-178

  14. Sound Cells in Genetic Improvisation: An Evolutionary Model for Improvised Music

    • Sebastian Trump
    Pages 179-193

  15. Controlling Self-organization in Generative Creative Systems

    • Jonathan Young, Simon Colton
    Pages 194-209

  16. Emulation Games

    • Augusto Zubiaga, Lourdes Cilleruelo
    Pages 210-225

  17. Back Matter

    Pages 227-227
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  1. Artificial Intelligence in Music, Sound, Art and Design

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About this book

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.

Editors and Affiliations

  • University of A Coruña, A Coruña, Spain

    Juan Romero

  • Aston University, Birmingham, UK

    Anikó Ekárt

  • University of Coimbra, Coimbra, Portugal

    Tiago Martins, João Correia

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