Overview
- Editors:
- Juan Romero
University of A Coruña, A Coruña, Spain
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- Anikó Ekárt
Aston University, Birmingham, UK
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- Tiago Martins
University of Coimbra, Coimbra, Portugal
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- João Correia
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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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.
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Keywords
- acoustic signal processing
- artificial intelligence
- audio acoustics
- computer networks
- computer programming
- computer systems
- computer vision
- engineering
- evolutionary algorithms
- genetic algorithms
- Human-Computer Interaction (HCI)
- image analysis
- image processing
- image quality
- internet
- machine learning
- mathematics
- pattern recognition
- signal processing
- user interfaces
Table of contents (15 papers)
Front Matter
Pages i-xiiA Deep Learning Neural Network for Classifying Good and Bad Photos
- Stephen Lou Banal, Vic Ciesielski
Pages 1-16Adapting and Enhancing Evolutionary Art for Casual Creation
- Simon Colton, Jon McCormack, Sebastian Berns, Elena Petrovskaya, Michael Cook
Pages 17-34Comparing Fuzzy Rule Based Approaches for Music Genre Classification
- Frederik Heerde, Igor Vatolkin, Günter Rudolph
Pages 35-48Quantum Zentanglement: Combining Picbreeder and Wave Function Collapse to Create Zentangles®
- Anna Krolikowski, Sarah Friday, Alice Quintanilla, Jacob Schrum
Pages 49-65Fusion of Hilbert-Huang Transform and Deep Convolutional Neural Network for Predominant Musical Instruments Recognition
- Xiaoquan Li, Kaiqi Wang, John Soraghan, Jinchang Ren
Pages 80-89Genetic Reverb: Synthesizing Artificial Reverberant Fields via Genetic Algorithms
- Edward Ly, Julián Villegas
Pages 90-103Portraits of No One: An Interactive Installation
- Tiago Martins, João Correia, Sérgio Rebelo, João Bicker, Penousal Machado
Pages 104-117An Aesthetic-Based Fitness Measure and a Framework for Guidance of Evolutionary Design in Architecture
- Manuel Muehlbauer, Jane Burry, Andy Song
Pages 134-149Objective Evaluation of Tonal Fitness for Chord Progressions Using the Tonal Interval Space
- María Navarro-Cáceres, Marcelo Caetano, Gilberto Bernardes
Pages 150-164Coevolving Artistic Images Using OMNIREP
- Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz
Pages 165-178Sound Cells in Genetic Improvisation: An Evolutionary Model for Improvised Music
- Sebastian Trump
Pages 179-193Controlling Self-organization in Generative Creative Systems
- Jonathan Young, Simon Colton
Pages 194-209Back Matter
Pages 227-227
Other volumes
Artificial Intelligence in Music, Sound, Art and Design
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
Bibliographic Information
Book Title:Artificial Intelligence in Music, Sound, Art and Design
Book Subtitle:9th International Conference, EvoMUSART 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15–17, 2020, Proceedings
Editors:Juan Romero, Anikó Ekárt, Tiago Martins, João Correia
Series Title:Lecture Notes in Computer Science
DOI:https://doi.org/10.1007/978-3-030-43859-3
Publisher:Springer Cham
eBook Packages:Computer Science,Computer Science (R0)
Copyright Information:Springer Nature Switzerland AG 2020
Softcover ISBN:978-3-030-43858-6Published: 10 April 2020
eBook ISBN:978-3-030-43859-3Published: 09 April 2020
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number:1
Number of Pages:XII, 227
Number of Illustrations:28 b/w illustrations, 86 illustrations in colour
Topics:Theory of Computation,Computer Communication Networks,Programming Languages, Compilers, Interpreters,Information Systems and Communication Service,Computer Imaging, Vision, Pattern Recognition and Graphics,Signal, Image and Speech Processing