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Ihr Team von Sack Fachmedien
Ekárt / Liapis / Castro Pena Computational Intelligence in Music, Sound, Art and Design
1. Auflage 2019
ISBN: 978-3-030-16667-0
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
8th International Conference, EvoMUSART 2019, Held as Part of EvoStar 2019, Leipzig, Germany, April 24–26, 2019, Proceedings
E-Book, Englisch, 249 Seiten
Reihe: Springer Nature Proceedings Computer Science
ISBN: 978-3-030-16667-0
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
This book constitutes the refereed proceedings of the 8th International Conference on Evolutionary Computation in Combinatorial Optimization, EvoMUSART 2019, held in Leipzig, Germany, in April 2019, co-located with the Evo*2019 events EuroGP, EvoCOP and EvoApplications.
The 16 revised full papers presented were carefully reviewed and selected from 24 submissions. The papers cover a wide range of topics and application areas, including: visual art and music generation, analysis, and interpretation; sound synthesis; architecture; video; poetry; design; and other creative tasks.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Deep Learning Concepts for Evolutionary Art.- Adversarial Evolution and Deep Learning – How Does An Artist Play with Our Visual System.- Autonomy, Authenticity, Authorship and Intention in Computer Generated Art.- Camera Obscurer: Generative Art for Design Inspiration.- Swarm-Based Identification of Animation Key Points from 2D-medialness Maps.- Paintings, Polygons and Plant Propagation.- Evolutionary Games for Audiovisual Works: Exploring the Demographic Prisoner's Dilemma.- Emojinating: Evolving Emoji Blends.- Automatically Generating Engaging Presentation Slide Decks.- Tired of choosing? Just Add Structure and Virtual Reality.- EvoChef: Show Me What to Cook! Artificial Evolution of Culinary Arts.- Comparing Models for Harmony Prediction in An Interactive Audio Looper.- Stochastic Synthesizer Patch Exploration in Edisyn.- Evolutionary Multi-Objective Training Set Selection of Data Instances and Augmentations for Vocal Detection.- Automatic Jazz Melody Composition Through a Learning-Based Genetic Algorithm.- Exploring Transfer Functions in Evolved CTRNNs for Music Generation.
