Evolutionary Machine Learning Accepted Papers

Long Talks

  • Graph Networks as Inductive Bias for Genetic Programming: Symbolic Models for Particle-Laden Flows
    Julia Reuter, Sanaz Mostaghim, Hani Elmestikawy, Fabien Evrard and Berend van Wachem
  • A Genetic Programming Encoder for Increasing Autoencoder Interpretability
    Finn Schofield, Andrew Lensen and Luis Slyfield
  • MAP-Elites with Cosine-Similarity for Evolutionary Ensemble Learning
    Hengzhe Zhang, Qi Chen, Alberto Tonda, Bing Xue, Wolfgang Banzhaf and Mengjie Zhang
  • A Boosting Approach to Constructing an Ensemble Stack
    Zhilei Zhou, Ziyu Qiu, Brad Niblett, Andrew Johnston, Jeffrey Schwartzentruber, Nur Zincir-Heywood and Malcolm Heywood
  • AMTEA-based Multi-task Optimisation for Multi-objective Feature Selection in Classification
    Jiabin Lin, Qi Chen, Bing Xue and Mengjie Zhang
  • Under the Hood of Transfer Learning for Deep Neuroevolution
    Stefano Sarti, Nuno Lourenço, Jason Adair, Penousal Machado and Gabriela Ochoa
  • Feature Selection on Epistatic Problems using Genetic Algorithms with Nested Classifiers
    Pedro Carvalho, Bruno Ribeiro, Nuno Rodrigues, João Batista, Sara Silva and Leonardo Vanneschi

Short Talks

  • Evolving Neural Networks for Robotic Arm Control
    Anthony Horgan and Karl Mason
  • Centroid-based Differential Evolution with Composite Trial Vector Generation Strategies for Neural Network Training
    Sahar Rahmani, Seyed Jalaleddin Mousavirad, Mohammed El-Abd, Gerald Schaefer and Diego Oliva
  • Grammar-Guided Evolution of the U-Net
    Mahsa Mahdinejad, Aidan Murphy, Michael Tetteh, Allan de Lima, Patrick Healy and Conor Ryan
  • Explaining Recommender Systems by Evolutionary Interests Mix Modeling
    Piotr Lipinski
  • Spatial Genetic Programming
    Iliya Miralavy and Wolfgang Banzhaf