LEADER 05553nam 22007335 450 001 996655266903316 005 20250422130221.0 010 $a3-031-90167-3 024 7 $a10.1007/978-3-031-90167-6 035 $a(CKB)38537972700041 035 $a(DE-He213)978-3-031-90167-6 035 $a(MiAaPQ)EBC32019097 035 $a(Au-PeEL)EBL32019097 035 $a(EXLCZ)9938537972700041 100 $a20250422d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence in Music, Sound, Art and Design $e14th International Conference, EvoMUSART 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23?25, 2025, Proceedings /$fedited by Penousal Machado, Colin Johnson, Iria Santos 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (XI, 436 p. 151 illus., 128 illus. in color.) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15611 311 08$a3-031-90166-5 327 $a -- 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. 330 $aThis book constitutes the refereed proceedings of the 14th International Conference on Artificial Intelligence in Music, Sound, Art and Design, EvoMUSART 2025, held as part of EvoStar 2025, in Trieste, Itlay, during April 23?25, 2024. The 28 full papers presented in this book were carefully reviewed and selected from 52 submissions. They present a broad selection of topics and applications, including systems that create music, art, and design. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v15611 606 $aComputer science 606 $aMachine learning 606 $aEducation$xData processing 606 $aSignal processing 606 $aInformation storage and retrieval systems 606 $aComputer vision 606 $aTheory of Computation 606 $aMachine Learning 606 $aComputers and Education 606 $aSignal, Speech and Image Processing 606 $aInformation Storage and Retrieval 606 $aComputer Vision 615 0$aComputer science. 615 0$aMachine learning. 615 0$aEducation$xData processing. 615 0$aSignal processing. 615 0$aInformation storage and retrieval systems. 615 0$aComputer vision. 615 14$aTheory of Computation. 615 24$aMachine Learning. 615 24$aComputers and Education. 615 24$aSignal, Speech and Image Processing. 615 24$aInformation Storage and Retrieval. 615 24$aComputer Vision. 676 $a004.0151 702 $aMachado$b Penousal$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aJohnson$b Colin$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSantos$b Iria$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996655266903316 996 $aArtificial Intelligence in Music, Sound, Art and Design$92257587 997 $aUNISA