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Ergebnis der Suche nach: "Machine Learning"
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Link zu diesem Datensatz | https://d-nb.info/1363776940 |
Titel | Artificial Intelligence in Music, Sound, Art and Design : 14th International Conference, EvoMUSART 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23–25, 2025, Proceedings / edited by Penousal Machado, Colin Johnson, Iria Santos |
Person(en) |
Machado, Penousal (Herausgeber) Johnson, Colin (Herausgeber) Santos, Iria (Herausgeber) |
Organisation(en) | SpringerLink (Online service) (Sonstige) |
Ausgabe | 1st ed. 2025 |
Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
Zeitliche Einordnung | Erscheinungsdatum: 2025 |
Umfang/Format | Online-Ressource, XI, 436 p. 151 illus., 128 illus. in color. : online resource. |
Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-90166-9 Printed edition:: ISBN: 978-3-031-90168-3 |
Inhalt | -- Long Talks. -- Yin-Yang: Developing Motifs With Long-Term Structure And Controllability. -- Foundations of LLCM: Labelled Lambek Calculus for Music Analysis. -- Large-image Object Detection for Fine-grained Recognition of Punches Patterns in Medieval Panel Painting. -- Cellular Au-Tonnetz: A Unified Audio-Visual MIDI Generator Using Tonnetz, Cellular Automata, and IoT. -- The Importance of Context in Image Generation: A Case Study for Video Game Sprites. -- Perceptions of AI in Animation Production. -- Search-based Negative Prompt Optimisation for Text-to-Image Generation. -- Exploring the Application of AIGC in Ink-Wash Animation Creation: A Case Study of Dragon Gate. -- AI in Music and Healthcare: A Comparative Survey. -- Combining local search and directed mutation in evolutionary approaches to 4-part harmony. -- Exploiting the Temporal Order of Sound Features for Onset Detection. -- Towards Human-Quality Drum Accompaniment Using Deep Generative Models and Transformers. -- An Ensemble Approach to Music Source Separation: A Comparative Analysis of Conventional and Hierarchical Stem Separation. -- Balancing Indeterminacy and Structure: Neural Text Generation for Artistic Inspiration. -- Exploring Bridges Between Algorithmic and AI-generated Art. -- Future Sight: Fine-tuning Language Models for Dynamic Story Generation. -- Short Talks. -- All YIN No YANG: Geometric abstraction of oil paintings with trained models, noise and self-reference. -- Exploring Multi-Objective Evolution for Aesthetic & Abstract 3D Art. -- Aesthetic biases and opacity tactics in the training of visual artificial intelligence models. -- Music Similarity Through Geometric Overlap. -- Graph Neural Network vs Feature-based Folk Music Evolution Analysis. -- Generating Virtual Landscapes and Environmental Narratives with StyleGAN2. -- EmotioNotes Dataset: Decoding emotions in classical music through Concert Program Notes. -- Towards the Automatic Evaluation of Legibility for Graphic Design Posters. -- Short video interestingness: a machine learning approach to determine creative cues in audiovisual production. -- Automated Selection and Ordering of Clip Sequences for Music Videos based on Tonal Tension and Visual Features. -- Evolving the Embedding Space of Diffusion Models in the Field of Visual Arts. -- Steering Large Text-to-Image Model for Kandinsky Synthesis through Preference-based Prompt Optimization |
Persistent Identifier |
URN: urn:nbn:de:101:1-2504230426441.901776047296 DOI: 10.1007/978-3-031-90167-6 |
URL | https://doi.org/10.1007/978-3-031-90167-6 |
ISBN/Einband/Preis | 978-3-031-90167-6 |
Sprache(n) | Englisch (eng) |
Beziehungen | Lecture Notes in Computer Science ; 15611 |
DDC-Notation | 006.3 (maschinell ermittelte DDC-Kurznotation) |
Sachgruppe(n) | 004 Informatik |
Online-Zugriff | Archivobjekt öffnen |
