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Andrew Lensen
Andrew Lensen
Senior Lecturer in Artificial Intelligence | Pūkenga Matua, Victoria University of Wellington
Verifierad e-postadress på ecs.vuw.ac.nz - Startsida
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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
2662019
Explainable artificial intelligence by genetic programming: A survey
Y Mei, Q Chen, A Lensen, B Xue, M Zhang
IEEE Transactions on Evolutionary Computation 27 (3), 621-641, 2022
1092022
Genetic programming for region detection, feature extraction, feature construction and classification in image data
A Lensen, H Al-Sahaf, M Zhang, B Xue
Genetic Programming: 19th European Conference, EuroGP 2016, Porto, Portugal …, 2016
632016
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
542020
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
Applications of Evolutionary Computation: 20th European Conference …, 2017
292017
Genetic programming for evolving similarity functions for clustering: Representations and analysis
A Lensen, B Xue, M Zhang
Evolutionary computation 28 (4), 531-561, 2020
272020
Can genetic programming do manifold learning too?
A Lensen, B Xue, M Zhang
European Conference on Genetic Programming, 114-130, 2019
242019
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
232016
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
212018
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
202020
Genetic programming for manifold learning: Preserving local topology
A Lensen, B Xue, M Zhang
IEEE Transactions on Evolutionary Computation 26 (4), 661-675, 2021
182021
Generating Redundant Features with Unsupervised Multi-Tree Genetic Programming
A Lensen, B Xue, M Zhang
21st European Conference on Genetic Programming, 2018
182018
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
122017
Using genetic programming to find functional mappings for UMAP embeddings
F Schofield, A Lensen
2021 IEEE Congress on Evolutionary Computation (CEC), 704-711, 2021
102021
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
92018
Improving the search of learning classifier systems through interpretable feature clustering
H Andersen, A Lensen, WN Browne
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022
82022
Mining feature relationships in data
A Lensen
Genetic Programming: 24th European Conference, EuroGP 2021, Held as Part of …, 2021
82021
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
72017
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
72015
Explaining genetic programming trees using large language models
P Maddigan, A Lensen, B Xue
arXiv preprint arXiv:2403.03397, 2024
62024
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Artiklar 1–20