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Computational Intelligence in Music, Sound, Art and Design

Overview of attention for book
Cover of 'Computational Intelligence in Music, Sound, Art and Design'

Table of Contents

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    Book Overview
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    Chapter 1 Visual Art Inspired by the Collective Feeding Behavior of Sand-Bubbler Crabs
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    Chapter 2 Dynamical Music with Musical Boolean Networks
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    Chapter 3 Non-photorealistic Rendering with Cartesian Genetic Programming Using Graphics Processing Units
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    Chapter 4 Construction of a Repertoire of Analog Form-Finding Techniques as a Basis for Computational Morphological Exploration in Design and Architecture
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    Chapter 5 Medical Art Therapy of the Future: Building an Interactive Virtual Underwater World in a Children’s Hospital
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    Chapter 6 Expressive Piano Music Playing Using a Kalman Filter
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    Chapter 7 Generative Solid Modelling Employing Natural Language Understanding and 3D Data
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    Chapter 8 evoExplore : Multiscale Visualization of Evolutionary Histories in Virtual Reality
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    Chapter 9 Musical Organisms
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    Chapter 10 Generating Drum Rhythms Through Data-Driven Conceptual Blending of Features and Genetic Algorithms
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    Chapter 11 RoboJam: A Musical Mixture Density Network for Collaborative Touchscreen Interaction
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    Chapter 12 Towards a General Framework for Artistic Style Transfer
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    Chapter 13 Adaptive Interface for Mapping Body Movements to Sounds
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    Chapter 14 On Collaborator Selection in Creative Agent Societies: An Evolutionary Art Case Study
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    Chapter 15 Towards Partially Automatic Search of Edge Bundling Parameters
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    Chapter 16 Co-evolving Melodies and Harmonization in Evolutionary Music Composition
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    Chapter 17 Learning as Performance: Autoencoding and Generating Dance Movements in Real Time
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    Chapter 18 Deep Interactive Evolution
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    Chapter 19 The Light Show: Flashing Fireflies Gathering and Flying over Digital Images
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    Chapter 20 Evotype: Towards the Evolution of Type Stencils
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Title
Computational Intelligence in Music, Sound, Art and Design
Published by
Springer International Publishing, March 2018
DOI 10.1007/978-3-319-77583-8
ISBNs
978-3-31-977582-1, 978-3-31-977583-8
Editors

Liapis, Antonios, Romero Cardalda, Juan Jesús, Ekárt, Anikó

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X Demographics

The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 28%
Student > Bachelor 11 17%
Student > Ph. D. Student 9 14%
Student > Doctoral Student 7 11%
Researcher 4 6%
Other 7 11%
Unknown 8 13%
Readers by discipline Count As %
Computer Science 22 34%
Engineering 14 22%
Arts and Humanities 9 14%
Social Sciences 3 5%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 4 6%
Unknown 11 17%