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