Evolutionary Machine Learning Accepted Papers

Long talks

  • Social Interpretable Reinforcement Learning
    Leonardo Lucio Custode and Giovanni Iacca
  • EDCA – An Evolutionary Data-Centric AutoML Framework for Efficient Pipelines
    Joana Simões and João Correia
  • Generate more than one child in your co-evolutionary semi-supervised learning GAN
    Francisco José Sedeño, Jamal Toutouh and Francisco Chicano
  • Evolving RNNs for Stock Forecasting: A Low Parameter Efficient Alternative to Transformers
    Zimeng Lyu, Devroop Kar, Matthew Simoni, Rohaan Nadeem, Avinash Bhojanapalli, Hao Zhang and Travis Desell
  • Into the Black Box: Mining Variable Importance with XAI
    Kelly Hunter, Sarah L. Thomson and Emma Hart
  • Short talk

  • Micro-Step Time-Series Regression: Insights from System Identification Using Symbolic Regression
    Hengzhe Zhang, Alberto Tonda, Qi Chen, Bing Xue, Evelyne Lutton and Mengjie Zhang