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Computational Intelligence in Music, Sound, Art and Design

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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 Deep Learning Concepts for Evolutionary Art
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    Chapter 2 Adversarial Evolution and Deep Learning – How Does an Artist Play with Our Visual System?
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    Chapter 3 Autonomy, Authenticity, Authorship and Intention in Computer Generated Art
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    Chapter 4 Camera Obscurer: Generative Art for Design Inspiration
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    Chapter 5 Swarm-Based Identification of Animation Key Points from 2D-medialness Maps
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    Chapter 6 Paintings, Polygons and Plant Propagation
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    Chapter 7 Evolutionary Games for Audiovisual Works: Exploring the Demographic Prisoner’s Dilemma
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    Chapter 8 Emojinating: Evolving Emoji Blends
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    Chapter 9 Automatically Generating Engaging Presentation Slide Decks
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    Chapter 10 Tired of Choosing? Just Add Structure and Virtual Reality
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    Chapter 11 EvoChef: Show Me What to Cook! Artificial Evolution of Culinary Arts
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    Chapter 12 Comparing Models for Harmony Prediction in an Interactive Audio Looper
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    Chapter 13 Stochastic Synthesizer Patch Exploration in Edisyn
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    Chapter 14 Evolutionary Multi-objective Training Set Selection of Data Instances and Augmentations for Vocal Detection
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    Chapter 15 Automatic Jazz Melody Composition Through a Learning-Based Genetic Algorithm
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    Chapter 16 Exploring Transfer Functions in Evolved CTRNNs for Music Generation
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Title
Computational Intelligence in Music, Sound, Art and Design
Published by
Springer International Publishing, June 2019
DOI 10.1007/978-3-030-16667-0
ISBNs
978-3-03-016666-3, 978-3-03-016667-0
Editors

Ekárt, Anikó, Liapis, Antonios, Castro Pena, María Luz

Twitter Demographics

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