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ORCID14th EvoMUSART 2025: Trieste, Italy
- Penousal Machado
, Colin G. Johnson, Iria Santos:
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. Lecture Notes in Computer Science 15611, Springer 2025, ISBN 978-3-031-90166-9 - Keshav Bhandari, Geraint A. Wiggins, Simon Colton:
Yin-Yang: Developing Motifs with Long-Term Structure and Controllability. 1-17 - Matteo Bizzarri, Satoshi Tojo:
Foundations of LLCM: Labelled Lambek Calculus for Music Analysis. 18-33 - Josh Bruegger, Diana Ioana Catana, Vanja Macovaz, Matias Valdenegro-Toro, Matthia Sabatelli, Marco Zullich:
Large-Image Object Detection for Fine-Grained Recognition of Punches Patterns in Medieval Panel Painting. 34-50 - Tom Didiot-Cook:
Cellular Au-Tonnetz: A Unified Audio-Visual MIDI Generator Using Tonnetz, Cellular Automata, and IoT. 51-65 - Roberto Gallotta, Antonios Liapis, Georgios N. Yannakakis:
The Importance of Context in Image Generation: A Case Study for Video Game Sprites. 66-81 - Dalong Hu, Minsoo Choi, Nandhini Giri, Christos Mousas, Nicoletta Adamo-Villani:
Perceptions of AI in Animation Production. 82-93 - Guillermo Iglesias, Mar Zamorano, Federica Sarro:
Search-Based Negative Prompt Optimisation for Text-to-Image Generation. 94-110 - Youchun Liu, Lei Wang, Danqi Zheng:
Exploring the Application of AIGC in Ink-Wash Animation Creation:A Case Study of Dragon Gate. 111-124 - Róisín Loughran, Ceara Treacy:
AI in Music and Healthcare: A Comparative Survey. 125-140 - Elia Pacioni, Francisco Fernández de Vega:
Combining Local Search and Directed Mutation in Evolutionary Approaches to 4-Part Harmony. 141-155 - João Ramos, Rolando Miragaia, Gustavo Reis, Patrício Domingues, Carlos Grilo:
Exploiting the Temporal Order of Sound Features for Onset Detection. 156-169 - Arash Sadeghi Amjadi, Andrew Vardy, Andrew Staniland:
Towards Human-Quality Drum Accompaniment Using Deep Generative Models and Transformers. 170-185 - Saarth Vardhan, Pavani R. Acharya, Samarth S. Rao, Oorjitha Ratna Jasthi, S. Natarajan:
An Ensemble Approach to Music Source Separation: A Comparative Analysis of Conventional and Hierarchical Stem Separation. 186-201 - Olga Vechtomova, Gaurav Sahu:
Balancing Indeterminacy and Structure: Neural Text Generation for Artistic Inspiration. 202-217 - Jiaqi Wu, Eytan Adar:
Exploring Bridges Between Algorithmic and AI-Generated Art. 218-232 - Brian D. Zimmerman, Gaurav Sahu, Olga Vechtomova:
Future Sight: Fine-Tuning Language Models for Dynamic Story Generation. 233-248 - Luís Arandas, Iulia Ionescu, Murad Khan, Mick Grierson, Miguel Carvalhais:
All YIN No YANG: Geometric Abstraction of Oil Paintings with Trained Models, Noise and Self-reference. 249-260 - Veeramanohar Avudaiappan, Ritwik Murali:
Exploring Multi-objective Evolution for Aesthetic and Abstract 3D Art. 261-277 - Bruno Caldas Vianna:
Aesthetic Biases and Opacity Tactics in the Training of Visual Artificial Intelligence Models. 278-293 - Raymond Conlin, Colm O'Riordan:
Music Similarity Through Geometric Overlap. 294-307 - Adam Deedman, Mathieu Barthet:
Graph Neural Network vs Feature-Based Folk Music Evolution Analysis. 308-323 - Amalia F. Foka:
Generating Virtual Landscapes and Environmental Narratives with StyleGAN2. 324-338 - Pratik Khanal, Patrick J. Donnelly:
EmotioNotes Dataset: Decoding Emotions in Classical Music Through Concert Program Notes. 339-356 - Daniel Lopes, João Macedo, Iria Santos, Alvaro Torrente-Patiño, João Correia, Penousal Machado:
Towards the Automatic Evaluation of Legibility for Graphic Design Posters. 357-372 - Claudia Rabaioli, Alessandra Grossi, Francesca Gasparini:
Short Video Interestingness: A Machine Learning Approach to Determine Creative Cues in Audiovisual Production. 373-386 - Nicolás Rojas-Morales:
Automated Selection and Ordering of Clip Sequences for Music Videos Based on Tonal Tension and Visual Features. 387-401 - Marcel Salvenmoser, Michael Affenzeller:
Evolving the Embedding Space of Diffusion Models in the Field of Visual Arts. 402-416 - Aven Le Zhou, Wei Wu, Yu-Ao Wang, Kang Zhang:
Steering Large Text-to-Image Model for Kandinsky Synthesis Through Preference-Based Prompt Optimization. 417-433
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