| DeepShip: An underwater acoustic benchmark dataset and a separable convolution based autoencoder for classification M Irfan, Z Jiangbin, S Ali, M Iqbal, Z Masood, U Hamid Expert Systems with Applications 183, 115270, 2021 | 327 | 2021 |
| Reusing building blocks of extracted knowledge to solve complex, large-scale boolean problems M Iqbal, WN Browne, M Zhang IEEE Transactions on Evolutionary Computation 18 (4), 465-480, 2013 | 170 | 2013 |
| 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, 1-19, 2017 | 131 | 2017 |
| Sentiment analysis and spam detection in short informal text using learning classifier systems MH Arif, J Li, M Iqbal, K Liu Soft Computing, 1-11, 2017 | 112 | 2017 |
| A Novel Lifelong Learning Model Based on Cross Domain Knowledge Extraction and Transfer to Classify Underwater Images M Irfan, J Zheng, M Iqbal, M Hassan Arif Information Sciences 552 (2021), 80-101, 2020 | 42 | 2020 |
| Knowledge Extraction and Retention Based Continual Learning by Using Convolutional Autoencoder-based Learning Classifier System M Irfan, Z Jiangbin, M Iqbal, Z Masood, M Hassan Arif Information Sciences 591 (April 2022), 287-305, 2022 | 41 | 2022 |
| XCSR with Computed Continuous Action M Iqbal, WN Browne, M Zhang AI 2012: Advances in Artificial Intelligence, 350-361, 2012 | 41 | 2012 |
| Evolving Optimum Populations with XCS Classifier Systems M Iqbal, WN Browne, M Zhang Soft Computing 17 (3), 503-518, 2013 | 38 | 2013 |
| Extracting and using building blocks of knowledge in learning classifier systems M Iqbal, WN Browne, M Zhang Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012 | 37 | 2012 |
| Extending learning classifier system with cyclic graphs for scalability on complex, large-scale boolean problems M Iqbal, WN Browne, M Zhang Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013 | 35 | 2013 |
| Learning Feature Fusion Strategies for Various Image Types to Detect Salient Objects M Iqbal, SS Naqvi, WN Browne, C Hollitt, M Zhang Pattern Recognition 60 (2016), 106-120, 2016 | 33 | 2016 |
| Brain inspired lifelong learning model based on neural based learning classifier system for underwater data classification M Irfan, Z Jiangbin, M Iqbal, Z Masood, MH Arif, SR ul Hassan Expert Systems with Applications 186, 115798, 2021 | 26 | 2021 |
| Enhancing Learning Classifier Systems Through a Convolutional Autoencoder to Classify Underwater Images M Irfan, Z Jiangbin, M Iqbal, M Hassan Arif Soft Computing, https://doi.org/10.1007/s00500-021-05738, 2021 | 22 | 2021 |
| Evolutionary algorithms for classification of mammographie densities using local binary patterns and statistical features F Burling-Claridge, M Iqbal, M Zhang CEC, 3847-3854, 2016 | 19 | 2016 |
| A comprehensive strategy for mammogram image classification using learning classifier systems A Siddique, M Iqbal, WN Browne CEC, 2201-2208, 2016 | 19 | 2016 |
| Reusing Extracted Knowledge in Genetic Programming to Solve Complex Texture Image Classification Problems M Iqbal, B Xue, M Zhang PAKDD 2, 117-129, 2016 | 19 | 2016 |
| Salient Object Detection using Learning Classifier Systems that Compute Action Mappings M Iqbal, SS Naqvi, WN Browne, C Hollitt, M Zhang GECCO, 525-532, 2014 | 19 | 2014 |
| Extending XCS with cyclic graphs for scalability on complex Boolean problems M Iqbal, WN Browne, M Zhang Evolutionary computation 25 (2), 173-204, 2017 | 17 | 2017 |
| Improving classification on images by extracting and transferring knowledge in genetic programming M Iqbal, M Zhang, B Xue CEC, 3582-3589, 2016 | 17 | 2016 |
| Genetic programming with transfer learning for texture image classification M Iqbal, AS Harith, X Bing, Z Mengie Soft Computing, 2019 | 16 | 2019 |
Mengjie Zhang，FRSNZ, FEngNZ, FIE...Professor of Computer Science, Victoria University of WellingtonVerified email at ecs.vuw.ac.nz
