EvoMUSART Accepted Papers

Long Talks

  • Sculpture Inspired Musical Composition, One Possible Approach
    Francisco Braga and H. Sofia Pinto
  • Network Bending: Expressive Manipulation of Deep Generative Models
    Terence Broad, Frederic Fol Leymarie and Mick Grierson
  • SyVMO: Synchronous Variable Markov Oracle for modeling and predicting multi-part musical structures
    Nádia Carvalho and Gilberto Bernardes
  • Identification of Pure Painting Pigment using Machine Learning algorithms
    Ailin Chen, Rui Jesus and Marcia Vilarigues
  • Evolving Neural Style Transfer Blends
    Simon Colton
  • Evolving Image Enhancement Pipelines
    João Correia, Leonardo Vieira, Nereida Rodriguez-Fernandez, Juan Romero and Penousal Machado
  • Genre Recognition from Symbolic Music with CNNs
    Edmund Dervakos, Natalia Kotsani and Giorgos Stamou
  • Axial Generation: A Concretism-inspired Method for Synthesizing Highly Varied Artworks
    Edward Easton, Aniko Ekart and Ulysses Bernardet
  • Interactive, Efficient and Creative Image Generation Using Compositional Pattern-Producing Networks
    Erlend Gjesteland Ekern and Björn Gambäck
  • Aesthetic Evaluation of Cellular Automata Configurations using Spatial Complexity and Kolmogorov Complexity
    Mohammad Ali Javaheri Javid
  • Auralization of three-dimensional cellular automata
    Yuta Kariyado, Camilo Arevalo and Julián Villegas
  • Chord Embeddings: Analyzing What They Capture and Their Role for Next Chord Prediction and Artist Attribute Prediction
    Allison Lahnala, Gauri Kambhatla, Jiajun Peng, Matthew Whitehead, Gillian Minnehan, Eric Guldan, Jonathan K. Kummerfeld, Anil Çamci and Rada Mihalcea
  • Convolutional Generative Adversarial Network, via Transfer Learning, for Traditional Scottish Music Generation
    Francesco Marchetti, Callum Wilson, Cheyenne Powell, Edmondo Minisci and Annalisa Riccardi
  • The Enigma of Complexity
    Jon McCormack, Camilo Cruz Gambardella and Andy Lomas
  • SerumRNN: Step by Step Audio VST Effect Programming
    Christopher Mitcheltree and Hideki Koike
  • Parameter tuning for wavelet-based sound event detection using Neural Networks
    Pallav Raval and Jabez Christopher
  • Raga Recognition in Indian Classical Music using Deep Learning
    Devansh Shah, Nikhil Jagtap, Prathmesh Talekar and Kiran Gawande
  • The Simulated Emergence of Chord Function
    Yui Uehara and Satoshi Tojo
  • Incremental Evolution of Stylized Images
    Florian Uhde
  • Dissecting Neural Networks Filter Responses for Artistic Style Transfer
    Florian Uhde and Sanaz Mostaghim
  • A Fusion of Deep and Shallow Learning to Predict Genres Based on Instrument and Timbre Features
    Igor Vatolkin, Benedikt Adrian and Jurij Kuzmic
  • A Multi-Objective Evolutionary Approach to Identify Relevant Audio Features for Music Segmentation
    Igor Vatolkin, Marcel Koch and Meinard Müller
  • Exploring the Effect of Sampling Strategy on Movement Generation with Generative Neural Networks
    Benedikte Wallace, Charles P. Martin, Jim Torresen and Kristian Nymoen
  • “A Good Algorithm Does Not Steal – It Imitates”: The Originality Report as a Means of Measuring When a Music Generation Algorithm Copies Too Much
    Zongyu Yin, Federico Reuben, Susan Stepney and Tom Collins

Short Talks

  • From Music to Image – A Computational Creativity Approach
    Luís Aleixo, H. Sofia Pinto and Nuno Correia
  • “What is human?” A Turing Test for artistic creativity
    Antonio Daniele, Caroline Di Bernardi Luft and Nick Bryan-Kinns
  • Mixed-Initiative Level Design with RL Brush
    Omar Delarosa, Hang Dong, Mindy Ruan, Ahmed Khalifa and Julian Togelius
  • Creating a Digital Mirror of Creative Practice
    Colin Johnson
  • An Application for Evolutionary Music Composition using Autoencoders
    Robert Neil McArthur and Charles Patrick Martin
  • A Swarm Grammar-Based Approach to Virtual World Generation
    Yasin Raies and Sebastian von Mammen
  • Co-Creative Drawing with One-Shot Generative Models
    Sabine Wieluch and Friedhelm Schwenker