| 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 | 266 | 2019 |
| 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 | 111 | 2022 |
| 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 | 63 | 2016 |
| 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 | 54 | 2020 |
| 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 | 29 | 2017 |
| Genetic programming for evolving similarity functions for clustering: Representations and analysis A Lensen, B Xue, M Zhang Evolutionary computation 28 (4), 531-561, 2020 | 27 | 2020 |
| Can genetic programming do manifold learning too? A Lensen, B Xue, M Zhang European Conference on Genetic Programming, 114-130, 2019 | 24 | 2019 |
| 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 | 23 | 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 | 21 | 2018 |
| 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 | 20 | 2020 |
| Genetic programming for manifold learning: Preserving local topology A Lensen, B Xue, M Zhang IEEE Transactions on Evolutionary Computation 26 (4), 661-675, 2021 | 18 | 2021 |
| Generating Redundant Features with Unsupervised Multi-Tree Genetic Programming A Lensen, B Xue, M Zhang 21st European Conference on Genetic Programming, 2018 | 18 | 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 | 12 | 2017 |
| Using genetic programming to find functional mappings for UMAP embeddings F Schofield, A Lensen 2021 IEEE Congress on Evolutionary Computation (CEC), 704-711, 2021 | 10 | 2021 |
| 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 | 9 | 2018 |
| 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 | 8 | 2022 |
| Mining feature relationships in data A Lensen Genetic Programming: 24th European Conference, EuroGP 2021, Held as Part of …, 2021 | 8 | 2021 |
| 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 | 7 | 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 | 7 | 2015 |
| Explaining genetic programming trees using large language models P Maddigan, A Lensen, B Xue arXiv preprint arXiv:2403.03397, 2024 | 6 | 2024 |
Bing Xue, Fellow of IEEE, Fellow of En...Professor of Artificial Intelligence, Victoria University of WellingtonEmail được xác minh tại ecs.vuw.ac.nz
