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 |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (X, 249 p. 113 illus., 78 illus. in color.) |
Disciplina | 005.11 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Algorithms
Artificial intelligence Data mining Computer arithmetic and logic units Artificial Intelligence Data Mining and Knowledge Discovery Arithmetic and Logic Structures |
ISBN | 3-030-16667-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
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. . |
Record Nr. | UNISA-996466274903316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Computational Intelligence in Music, Sound, Art and Design : 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 |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (X, 249 p. 113 illus., 78 illus. in color.) |
Disciplina | 005.11 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Algorithms
Artificial intelligence Data mining Computer arithmetic and logic units Artificial Intelligence Data Mining and Knowledge Discovery Arithmetic and Logic Structures |
ISBN | 3-030-16667-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
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. . |
Record Nr. | UNINA-9910337850703321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|