2023

  • D. Wood, T. Mu, A Unified Theory of Diversity in Ensemble Learning, JMLR 2023

2021

  • C. Shand, R. Allmendinger et al., HAWKS: Evolving Challenging Benchmark Sets for Cluster Analysis, preprint arXiv:2102.06940 PDF

2020

  • A. M. Webb, C. Reynolds et al, To Ensemble or Not Ensemble: When does End-To-End Training Fail?, ECML PKDD 2020, arXiv:1902.04422 PDF

2019

  • C. Shand, R. Allmendinger et al., Evolving Controllably Difficult Datasets for Clustering, GECCO 2019
  • A. M. Webb, G. Brown, and M. Lujan, ORB-SLAM-CNN: Lessons in Adding Semantic Map Construction to Feature-Based SLAM, TAROS 2019 PDF
  • S. Saeedi, B. Bodin et al, Navigating the Landscape for Real-Time Localization and Mapping for Robotics and Virtual and Augmented Reality, Proceedings of the IEEE Vol. 106 PDF

2015

  • A. M. Webb, On Selection for Evolvability. PhD thesis. School of Computer Science, University of Manchester, UK. Supervisors: Prof. Joshua Knowles and Dr Julia Handl PDF
  • A. M. Webb, J. Handl, and J. Knowles, How Much Should You Select for Evolvability?, ECAL 2015 PDF

2014

  • A. M. Webb and J. Knowles, Studying the Evolvability of Self-Encoding Genotype-Phenotype Maps, ALIFE 2014 PDF

2011

  • A. M. Webb, S. Davies, and D. Lester, Spiking Neural PID Controllers, ICONIP 2011