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ORCIDMuhammad Iqbal 0001
Person information
- affiliation: Higher Colleges of Technology, UAE
- affiliation (former): Xtracta Limited, Auckland, NZ
- affiliation (former): Victoria University, Wellington, NZ
Other persons with the same name
- Muhammad Iqbal — disambiguation page
- Muhammad Iqbal 0002 — Center for Advanced Studies in Engineering, Islamabad, Pakistan
- Muhammad Iqbal 0003
![[0000-0002-8691-094X]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-8691-094X")
— COMSATS Institute of Information Technology, Islamabad, Pakistan - Muhammad Iqbal 0004 — University of Malakand, Department of Mathematics, Pakistan
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2020 – today
- 2023
[c17]Abubakar Siddique, Muhammad Iqbal, Shahab Din, Will N. Browne:
Attention in Rule-Based Machine Learning: Exploiting Learning Classifier Systems' Generalization for Image Classification. GECCO Companion 2023: 323-326- 2022
- [j18]Muhammad Irfan, Jiangbin Zheng, Muhammad Iqbal, Zafar Masood, Muhammad Hassan Arif:
Knowledge extraction and retention based continual learning by using convolutional autoencoder-based learning classifier system. Inf. Sci. 591: 287-305 (2022) - 2021
- [j17]Muhammad Irfan, Jiangbin Zheng, Shahid Ali, Muhammad Iqbal, Zafar Masood, Umar Hamid:
DeepShip: An underwater acoustic benchmark dataset and a separable convolution based autoencoder for classification. Expert Syst. Appl. 183: 115270 (2021) - [j16]Muhammad Irfan, Jiangbin Zheng, Muhammad Iqbal, Zafar Masood, Muhammad Hassan Arif, Syed Rauf ul Hassan:
Brain inspired lifelong learning model based on neural based learning classifier system for underwater data classification. Expert Syst. Appl. 186: 115798 (2021) - [j15]Muhammad Irfan, Jiangbin Zheng, Muhammad Iqbal, Muhammad Hassan Arif:
A novel lifelong learning model based on cross domain knowledge extraction and transfer to classify underwater images. Inf. Sci. 552: 80-101 (2021) - [j14]Muhammad Irfan, Jiangbin Zheng, Muhammad Iqbal, Muhammad Hassan Arif:
Enhancing learning classifier systems through convolutional autoencoder to classify underwater images. Soft Comput. 25(15): 10423-10440 (2021) - 2020
- [j13]Hafiz Asadul Rehman, Muhammad Iqbal, Irfan Younas, Maryam Bashir:
Learning Regular Expressions Using XCS-Based Classifier System. Int. J. Pattern Recognit. Artif. Intell. 34(10): 2051011:1-2051011:32 (2020)
2010 – 2019
- 2019
- [j12]Muhammad Hassan Arif, Muhammad Iqbal, Jianxin Li:
Extracting and reusing blocks of knowledge in learning classifier systems for text classification: a lifelong machine learning approach. Soft Comput. 23(23): 12673-12682 (2019) - [j11]Muhammad Iqbal, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
Genetic programming with transfer learning for texture image classification. Soft Comput. 23(23): 12859-12871 (2019) - 2018
- [j10]Muhammad Hassan Arif, Jianxin Li, Muhammad Iqbal, Kaixu Liu:
Sentiment analysis and spam detection in short informal text using learning classifier systems. Soft Comput. 22(21): 7281-7291 (2018) - 2017
- [j9]Muhammad Iqbal, Will N. Browne, Mengjie Zhang:
Extending XCS with Cyclic Graphs for Scalability on Complex Boolean Problems. Evol. Comput. 25(2): 173-204 (2017) - [j8]Muhammad Iqbal, Bing Xue, Harith Al-Sahaf, Mengjie Zhang:
Cross-Domain Reuse of Extracted Knowledge in Genetic Programming for Image Classification. IEEE Trans. Evol. Comput. 21(4): 569-587 (2017) - [c16]Muhammad Hassan Arif, Xin Jin, Jianxin Li, Muhammad Iqbal:
Text Classification Using Lifelong Machine Learning. ICONIP (1) 2017: 394-404 - [c15]Muhammad Hassan Arif, Jianxin Li, Muhammad Iqbal:
Solving Social Media Text Classification Problems Using Code Fragment-Based XCSR. ICTAI 2017: 485-492 - [c14]Muhammad Hassan Arif, Jianxin Li, Muhammad Iqbal, Hao Peng:
Optimizing XCSR for Text Classification. SOSE 2017: 86-95 - 2016
- [j7]Muhammad Iqbal, Syed Saud Naqvi, Will N. Browne, Christopher Hollitt, Mengjie Zhang:
Learning feature fusion strategies for various image types to detect salient objects. Pattern Recognit. 60: 106-120 (2016) - [c13]Yi Liu, Muhammad Iqbal, Isidro M. Alvarez, Will N. Browne:
Integration of code-fragment based learning classifier systems for multiple domain perception and learning. CEC 2016: 2177-2184 - [c12]Abubakar Siddique, Muhammad Iqbal, Will N. Browne:
A comprehensive strategy for mammogram image classification using learning classifier systems. CEC 2016: 2201-2208 - [c11]Muhammad Iqbal, Mengjie Zhang, Bing Xue:
Improving classification on images by extracting and transferring knowledge in genetic programming. CEC 2016: 3582-3589 - [c10]Francine Burling-Claridge, Muhammad Iqbal, Mengjie Zhang:
Evolutionary algorithms for classification of mammographie densities using local binary patterns and statistical features. CEC 2016: 3847-3854 - [c9]Muhammad Iqbal, Bing Xue, Mengjie Zhang:
Reusing Extracted Knowledge in Genetic Programming to Solve Complex Texture Image Classification Problems. PAKDD (2) 2016: 117-129 - 2015
- [j6]Tim Kovacs, Muhammad Iqbal, Kamran Shafi, Ryan J. Urbanowicz:
Special issue on the 20th anniversary of XCS. Evol. Intell. 8(2-3): 51-53 (2015) - [j5]Muhammad Iqbal, Will N. Browne, Mengjie Zhang:
Improving genetic search in XCS-based classifier systems through understanding the evolvability of classifier rules. Soft Comput. 19(7): 1863-1880 (2015) - 2014
- [b1]Muhammad Iqbal:
Improving the Scalability of XCS-Based Learning Classifier Systems. Victoria University of Wellington, New Zealand, 2014 - [j4]Muhammad Iqbal, Will N. Browne, Mengjie Zhang:
Reusing Building Blocks of Extracted Knowledge to Solve Complex, Large-Scale Boolean Problems. IEEE Trans. Evol. Comput. 18(4): 465-480 (2014) - [c8]Muhammad Iqbal, Syed Saud Naqvi, Will N. Browne, Christopher Hollitt, Mengjie Zhang:
Salient object detection using learning classifiersystems that compute action mappings. GECCO 2014: 525-532 - 2013
- [j3]Kamran Shafi, Ryan J. Urbanowicz, Muhammad Iqbal:
Special issue on advances in Learning Classifier Systems. Evol. Intell. 6(2): 55-56 (2013) - [j2]Muhammad Iqbal, Will N. Browne, Mengjie Zhang:
Learning complex, overlapping and niche imbalance Boolean problems using XCS-based classifier systems. Evol. Intell. 6(2): 73-91 (2013) - [j1]Muhammad Iqbal, Will N. Browne, Mengjie Zhang:
Evolving optimum populations with XCS classifier systems - XCS with code fragmented action. Soft Comput. 17(3): 503-518 (2013) - [c7]Muhammad Iqbal, Will N. Browne, Mengjie Zhang:
Learning overlapping natured and niche imbalance boolean problems using XCS classifier systems. IEEE Congress on Evolutionary Computation 2013: 1818-1825 - [c6]Muhammad Iqbal, Will N. Browne, Mengjie Zhang:
Extending learning classifier system with cyclic graphs for scalability on complex, large-scale boolean problems. GECCO 2013: 1045-1052 - [c5]Muhammad Iqbal, Will N. Browne, Mengjie Zhang:
Comparison of two methods for computing action values in XCS with code-fragment actions. GECCO (Companion) 2013: 1235-1242 - 2012
- [c4]Muhammad Iqbal, Will N. Browne, Mengjie Zhang:
XCSR with Computed Continuous Action. Australasian Conference on Artificial Intelligence 2012: 350-361 - [c3]Muhammad Iqbal, Will N. Browne, Mengjie Zhang:
Extracting and using building blocks of knowledge in learning classifier systems. GECCO 2012: 863-870 - 2011
- [c2]Muhammad Iqbal, Mengjie Zhang, Will N. Browne:
Automatically defined functions for learning classifier systems. GECCO (Companion) 2011: 375-382
2000 – 2009
- 2009
- [c1]Muhammad Sarfraz, Jawad Usman Arshed, Sajjad Ahmad Madani, Muhammad Iqbal:
Object Recognition Using Simulated Evolution on Fourier Descriptors. WSC 2009: 205-213
Coauthor Index
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