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Computational Intelligence in Music, Sound, Art and Design [[electronic resource] ] : 8th International Conference, EvoMUSART 2019, Held as Part of EvoStar 2019, Leipzig, Germany, April 24–26, 2019, Proceedings / / edited by Anikó Ekárt, Antonios Liapis, María Luz Castro Pena



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Titolo: Computational Intelligence in Music, Sound, Art and Design [[electronic resource] ] : 8th International Conference, EvoMUSART 2019, Held as Part of EvoStar 2019, Leipzig, Germany, April 24–26, 2019, Proceedings / / edited by Anikó Ekárt, Antonios Liapis, María Luz Castro Pena Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Edizione: 1st ed. 2019.
Descrizione fisica: 1 online resource (X, 249 p. 113 illus., 78 illus. in color.)
Disciplina: 005.11
Soggetto topico: Algorithms
Artificial intelligence
Data mining
Computer arithmetic and logic units
Artificial Intelligence
Data Mining and Knowledge Discovery
Arithmetic and Logic Structures
Persona (resp. second.): EkártAnikó
LiapisAntonios
Castro PenaMaría Luz
Nota di contenuto: 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. .
Sommario/riassunto: 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.
Titolo autorizzato: Computational Intelligence in Music, Sound, Art and Design  Visualizza cluster
ISBN: 3-030-16667-8
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996466274903316
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Serie: Theoretical Computer Science and General Issues, . 2512-2029 ; ; 11453