| 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 | 42 | 2019 |
| 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 | 36 | 2016 |
| 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 | 16 | 2017 |
| 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 | 14 | 2016 |
| 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 | 11 | 2018 |
| Can genetic programming do manifold learning too? A Lensen, B Xue, M Zhang European Conference on Genetic Programming, 114-130, 2019 | 10 | 2019 |
| Genetic programming for evolving a front of interpretable models for data visualization A Lensen, B Xue, M Zhang IEEE transactions on cybernetics, 2020 | 9 | 2020 |
| Generating Redundant Features with Unsupervised Multi-Tree Genetic Programming A Lensen, B Xue, M Zhang 21st European Conference on Genetic Programming, 2018 | 9 | 2018 |
| 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 | 8 | 2017 |
| 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 | 6 | 2018 |
| Genetic programming for evolving similarity functions for clustering: Representations and analysis A Lensen, B Xue, M Zhang Evolutionary computation 28 (4), 531-561, 2020 | 5 | 2020 |
| Multi-objective genetic programming for manifold learning: balancing quality and dimensionality A Lensen, M Zhang, B Xue Genetic Programming and Evolvable Machines, 1-33, 2020 | 5 | 2020 |
| 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 | 4 | 2017 |
| 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 | 4 | 2015 |
| 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 | 3 | 2017 |
| Mining Feature Relationships in Data A Lensen arXiv preprint arXiv:2102.01355, 2021 | 1 | 2021 |
| Evolving Simpler Constructed Features for Clustering Problems with Genetic Programming F Schofield, A Lensen 2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020 | 1 | 2020 |
| Evolutionary Feature Manipulation in Unsupervised Learning A Lensen Victoria University of Wellington, 2019 | | 2019 |
| Genetic programming for algae detection in river images A Lensen, H Al-Sahaf, M Zhang, B Verma 2015 IEEE Congress on Evolutionary Computation (CEC), 2468-2475, 2015 | | 2015 |
| Using Genetic Programming to Find Functional Mappings for UMAP Embeddings F Schofield, A Lensen | | |
Bing XueSchool of Engineering and Computer Science, Victoria University of WellingtonVerified email at ecs.vuw.ac.nz
