Description
Book Synopsis.- 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.
