| Automatically evolving rotation-invariant texture image descriptors by genetic programming H Al-Sahaf, A Al-Sahaf, B Xue, M Johnston, M Zhang IEEE Transactions on Evolutionary Computation 21 (1), 83-101, 2016 | 77 | 2016 |
| Cross-domain reuse of extracted knowledge in genetic programming for image classification M Iqbal, B Xue, H Al-Sahaf, M Zhang IEEE Transactions on Evolutionary Computation 21 (4), 569-587, 2017 | 74 | 2017 |
| 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 49 (2), 205-228, 2019 | 71 | 2019 |
| Two-tier genetic programming: Towards raw pixel-based image classification H Al-Sahaf, A Song, K Neshatian, M Zhang Expert Systems with Applications 39 (16), 12291-12301, 2012 | 61 | 2012 |
| 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 | 41 | 2016 |
| Image descriptor: A genetic programming approach to multiclass texture classification H Al-Sahaf, M Zhang, M Johnston, B Verma 2015 IEEE Congress on Evolutionary Computation (CEC), 2460-2467, 2015 | 38 | 2015 |
| Extracting image features for classification by two-tier genetic programming H Al-Sahaf, A Song, K Neshatian, M Zhang 2012 IEEE Congress on Evolutionary Computation, 1-8, 2012 | 38 | 2012 |
| Keypoints detection and feature extraction: A dynamic genetic programming approach for evolving rotation-invariant texture image descriptors H Al-Sahaf, M Zhang, A Al-Sahaf, M Johnston IEEE Transactions on Evolutionary Computation 21 (6), 825-844, 2017 | 35 | 2017 |
| Common subtrees in related problems: A novel transfer learning approach for genetic programming D O'Neill, H Al-Sahaf, B Xue, M Zhang 2017 IEEE Congress on Evolutionary Computation (CEC), 1287-1294, 2017 | 24 | 2017 |
| Binary image classification: A genetic programming approach to the problem of limited training instances H Al-Sahaf, M Zhang, M Johnston Evolutionary computation 24 (1), 143-182, 2016 | 20 | 2016 |
| Genetic programming for skin cancer detection in dermoscopic images QU Ain, B Xue, H Al-Sahaf, M Zhang 2017 IEEE Congress on Evolutionary Computation (CEC), 2420-2427, 2017 | 19 | 2017 |
| Evolutionary deep learning: A genetic programming approach to image classification B Evans, H Al-Sahaf, B Xue, M Zhang 2018 IEEE Congress on Evolutionary Computation (CEC), 1-6, 2018 | 18 | 2018 |
| Genetic programming for feature selection and feature construction in skin cancer image classification QU Ain, B Xue, H Al-Sahaf, M Zhang Pacific rim international conference on artificial intelligence, 732-745, 2018 | 15 | 2018 |
| A multitree genetic programming representation for automatically evolving texture image descriptors H Al-Sahaf, B Xue, M Zhang Asia-Pacific Conference on Simulated Evolution and Learning, 499-511, 2017 | 15 | 2017 |
| Genetic Programming for Multiclass Texture Classification Using a Small Number of Instances H Al-Sahaf, M Zhang, M Johnston Proceedings of the 10th International Conference on Simulated Evolution and …, 2014 | 12 | 2014 |
| Automatic feature extraction and image classification using genetic programming H Al-Sahaf, K Neshatian, M Zhang The 5th International Conference on Automation, Robotics and Applications …, 2011 | 12 | 2011 |
| A supervised feature weighting method for salient object detection using particle swarm optimization S Afzali, B Xue, H Al-Sahaf, M Zhang 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017 | 9 | 2017 |
| Hybridisation of genetic programming and nearest neighbour for classification H Al-Sahaf, A Song, M Zhang 2013 IEEE Congress on Evolutionary Computation, 2650-2657, 2013 | 9 | 2013 |
| Modelling and prediction of resource utilization of hadoop clusters: A machine learning approach H Tariq, H Al-Sahaf, I Welch Proceedings of the 12th IEEE/ACM international conference on utility and …, 2019 | 8 | 2019 |
| A comparison of RGB and HSV colour spaces for visual attention models A Ajmal, C Hollitt, M Frean, H Al-Sahaf 2018 International Conference on Image and Vision Computing New Zealand …, 2018 | 8 | 2018 |
Mengjie Zhang，FRSNZ, FIEEEProfessor of Computer Science, Victoria University of WellingtonVerified email at ecs.vuw.ac.nz
