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Andrew Lensen
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A survey on evolutionary machine learning
H Al-Sahaf, Y Bi, Q Chen, A Lensen, Y Mei, Y Sun, B Tran, B Xue, ...
Journal of the Royal Society of New Zealand, 2019
1082019
Genetic programming for region detection, feature extraction, feature construction and classification in image data
A Lensen, H Al-Sahaf, M Zhang, B Xue
European conference on genetic programming, 51-67, 2016
472016
Using particle swarm optimisation and the silhouette metric to estimate the number of clusters, select features, and perform clustering
A Lensen, B Xue, M Zhang
European Conference on the Applications of Evolutionary Computation, 538-554, 2017
212017
Genetic programming for evolving a front of interpretable models for data visualization
A Lensen, B Xue, M Zhang
IEEE transactions on cybernetics 51 (11), 5468-5482, 2020
192020
Particle swarm optimisation representations for simultaneous clustering and feature selection
A Lensen, B Xue, M Zhang
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016
172016
Particle swarm optimisation for feature selection and weighting in high-dimensional clustering
D O'Neill, A Lensen, B Xue, M Zhang
2018 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2018
132018
Genetic programming for evolving similarity functions for clustering: Representations and analysis
A Lensen, B Xue, M Zhang
Evolutionary computation 28 (4), 531-561, 2020
122020
Generating Redundant Features with Unsupervised Multi-Tree Genetic Programming
A Lensen, B Xue, M Zhang
21st European Conference on Genetic Programming, 2018
122018
Can genetic programming do manifold learning too?
A Lensen, B Xue, M Zhang
European Conference on Genetic Programming, 114-130, 2019
112019
Multi-objective genetic programming for manifold learning: balancing quality and dimensionality
A Lensen, M Zhang, B Xue
Genetic Programming and Evolvable Machines 21 (3), 399-431, 2020
92020
GPGC: Genetic Programming for Automatic Clustering using a Flexible Non-Hyper-Spherical Graph-Based Approach
A Lensen, B Xue, M Zhang
Proceedings of the Genetic and Evolutionary Computation Conference, 449-456, 2017
92017
Automatically evolving difficult benchmark feature selection datasets with genetic programming
A Lensen, B Xue, M Zhang
Proceedings of the Genetic and Evolutionary Computation Conference, 458-465, 2018
72018
New Representations in Genetic Programming for Feature Construction in k-Means Clustering
A Lensen, B Xue, M Zhang
Asia-Pacific Conference on Simulated Evolution and Learning, 543-555, 2017
52017
Improving k-means Clustering with Genetic Programming for Feature Construction
A Lensen, B Xue, M Zhang
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017
52017
A hybrid genetic programming approach to feature detection and image classification
A Lensen, H Al-Sahaf, M Zhang, B Xue
2015 International Conference on Image and Vision Computing New Zealand …, 2015
42015
Evolving simpler constructed features for clustering problems with genetic programming
F Schofield, A Lensen
2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020
32020
Mining Feature Relationships in Data
A Lensen
European Conference on Genetic Programming (Part of EvoStar), 247-262, 2021
12021
Improving the Search of Learning Classifier Systems Through Interpretable Feature Clustering
H Andersen, A Lensen, WN Browne
2022
Large Scale Image Classification Using GPU-based Genetic Programming
P Zeng, A Lensen, Y Sun
2022
Genetic Programming for Manifold Learning: Preserving Local Topology
A Lensen, B Xue, M Zhang
IEEE Transactions on Evolutionary Computation, 2021
2021
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