Multi-objective feature selection in classification: A differential evolution approach B Xue, W Fu, M Zhang Simulated Evolution and Learning: 10th International Conference, SEAL 2014 …, 2014 | 64 | 2014 |
Low-level feature extraction for edge detection using genetic programming W Fu, M Johnston, M Zhang IEEE Transactions on Cybernetics 44 (8), 1459-1472, 2013 | 63 | 2013 |
Genetic programming for edge detection: a global approach W Fu, M Johnston, M Zhang 2011 IEEE Congress of Evolutionary Computation (CEC), 254-261, 2011 | 41 | 2011 |
Differential evolution (DE) for multi-objective feature selection in classification B Xue, W Fu, M Zhang Proceedings of the companion publication of the 2014 annual conference on …, 2014 | 35 | 2014 |
Distribution-based invariant feature construction using genetic programming for edge detection W Fu, M Johnston, M Zhang Soft computing 19, 2371-2389, 2015 | 20 | 2015 |
Transductive transfer learning in genetic programming for document classification W Fu, B Xue, M Zhang, X Gao Simulated Evolution and Learning: 11th International Conference, SEAL 2017 …, 2017 | 19 | 2017 |
Hybrid particle swarm optimisation algorithms based on differential evolution and local search W Fu, M Johnston, M Zhang AI 2010: Advances in Artificial Intelligence: 23rd Australasian Joint …, 2011 | 19 | 2011 |
Genetic programming for edge detection: a Gaussian-based approach W Fu, M Johnston, M Zhang Soft Computing 20, 1231-1248, 2016 | 17 | 2016 |
Soft edge maps from edge detectors evolved by genetic programming W Fu, M Johnston, M Zhang 2012 IEEE Congress on Evolutionary Computation, 1-8, 2012 | 15 | 2012 |
Automatic construction of invariant features using genetic programming for edge detection W Fu, M Johnston, M Zhang AI 2012: Advances in Artificial Intelligence: 25th Australasian Joint …, 2012 | 15 | 2012 |
Genetic programming for edge detection based on accuracy of each training image W Fu, M Johnston, M Zhang AI 2011: Advances in Artificial Intelligence: 24th Australasian Joint …, 2011 | 10 | 2011 |
Unsupervised learning for edge detection using genetic programming W Fu, M Johnston, M Zhang 2014 IEEE Congress on Evolutionary Computation (CEC), 117-124, 2014 | 9 | 2014 |
Automatic construction of gaussian-based edge detectors using genetic programming W Fu, M Johnston, M Zhang Applications of Evolutionary Computation: 16th European Conference …, 2013 | 8 | 2013 |
Genetic programming for edge detection via balancing individual training images W Fu, M Johnston, M Zhang 2012 IEEE Congress on Evolutionary Computation, 1-8, 2012 | 8 | 2012 |
Analysis of diagonal derivatives in edge detectors evolved by genetic programming W Fu, M Johnston, M Zhang Proceedings of the twenty-sixth international conference on image and vision …, 2011 | 8 | 2011 |
Transductive transfer learning based genetic programming for balanced and unbalanced document classification using different types of features W Fu, B Xue, X Gao, M Zhang Applied Soft Computing 103, 107172, 2021 | 7 | 2021 |
Output-based transfer learning in genetic programming for document classification W Fu, B Xue, X Gao, M Zhang Knowledge-Based Systems 212, 106597, 2021 | 7 | 2021 |
Bayesian genetic programming for edge detection W Fu, M Zhang, M Johnston Soft Computing 23, 4097-4112, 2019 | 7 | 2019 |
Genetic programming for edge detection using blocks to extract features W Fu, M Johnston, M Zhang Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012 | 7 | 2012 |
A hybrid particle swarm optimisation with differential evolution approach to image segmentation W Fu, M Johnston, M Zhang Applications of Evolutionary Computation: EvoApplications 2011: EvoCOMPLEX …, 2011 | 7 | 2011 |