Muhammad Iqbal

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 22

Top Topics

Machine Learning

Underwater Images

Extracted Knowledge

Classifier Systems

Top Venues

Expert Syst. Appl.

IEEE Trans. Evol. Comput.

Publications

Abubakar Siddique, Michael Heider, Muhammad Iqbal, Hiroki Shiraishi
A Survey on Learning Classifier Systems from 2022 to 2024. GECCO Companion (2024)
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)
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 (2022)
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 (2021)
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 (2021)
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 (2021)
Muhammad Irfan, Jiangbin Zheng, Muhammad Iqbal, Muhammad Hassan Arif
Enhancing learning classifier systems through convolutional autoencoder to classify underwater images. Soft Comput. 25 (15) (2021)
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) (2020)
Muhammad Iqbal, Harith Al-Sahaf, Bing Xue, Mengjie Zhang
Genetic programming with transfer learning for texture image classification. Soft Comput. 23 (23) (2019)
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) (2019)
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) (2018)
Muhammad Hassan Arif, Jianxin Li, Muhammad Iqbal
Solving Social Media Text Classification Problems Using Code Fragment-Based XCSR. ICTAI (2017)
Muhammad Hassan Arif, Jianxin Li, Muhammad Iqbal, Hao Peng
Optimizing XCSR for Text Classification. SOSE (2017)
Muhammad Iqbal, Will N. Browne, Mengjie Zhang
Extending XCS with Cyclic Graphs for Scalability on Complex Boolean Problems. Evol. Comput. 25 (2) (2017)
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) (2017)
Muhammad Hassan Arif, Xin Jin, Jianxin Li, Muhammad Iqbal
Text Classification Using Lifelong Machine Learning. ICONIP (1) (2017)
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)
Abubakar Siddique, Muhammad Iqbal, Will N. Browne
A comprehensive strategy for mammogram image classification using learning classifier systems. CEC (2016)
Muhammad Iqbal, Bing Xue, Mengjie Zhang
Reusing Extracted Knowledge in Genetic Programming to Solve Complex Texture Image Classification Problems. PAKDD (2) (2016)
Muhammad Iqbal, Mengjie Zhang, Bing Xue
Improving classification on images by extracting and transferring knowledge in genetic programming. CEC (2016)
Francine Burling-Claridge, Muhammad Iqbal, Mengjie Zhang
Evolutionary algorithms for classification of mammographie densities using local binary patterns and statistical features. CEC (2016)
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 (2016)
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) (2015)
Tim Kovacs, Muhammad Iqbal, Kamran Shafi, Ryan J. Urbanowicz
Special issue on the 20th anniversary of XCS. Evol. Intell. 8 (2-3) (2015)
Muhammad Iqbal, Syed Saud Naqvi, Will N. Browne, Christopher Hollitt, Mengjie Zhang
Salient object detection using learning classifiersystems that compute action mappings. GECCO (2014)
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) (2014)
Muhammad Iqbal, Will N. Browne, Mengjie Zhang
Learning complex, overlapping and niche imbalance Boolean problems using XCS-based classifier systems. Evol. Intell. 6 (2) (2013)
Muhammad Iqbal, Will N. Browne, Mengjie Zhang
Comparison of two methods for computing action values in XCS with code-fragment actions. GECCO (Companion) (2013)
Muhammad Iqbal, Will N. Browne, Mengjie Zhang
Evolving optimum populations with XCS classifier systems - XCS with code fragmented action. Soft Comput. 17 (3) (2013)
Kamran Shafi, Ryan J. Urbanowicz, Muhammad Iqbal
Special issue on advances in Learning Classifier Systems. Evol. Intell. 6 (2) (2013)
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)
Muhammad Iqbal, Will N. Browne, Mengjie Zhang
Extending learning classifier system with cyclic graphs for scalability on complex, large-scale boolean problems. GECCO (2013)
Muhammad Iqbal, Will N. Browne, Mengjie Zhang
XCSR with Computed Continuous Action. Australasian Conference on Artificial Intelligence (2012)
Muhammad Iqbal, Will N. Browne, Mengjie Zhang
Extracting and using building blocks of knowledge in learning classifier systems. GECCO (2012)
Muhammad Iqbal, Mengjie Zhang, Will N. Browne
Automatically defined functions for learning classifier systems. GECCO (Companion) (2011)
Muhammad Sarfraz, Jawad Usman Arshed, Sajjad Ahmad Madani, Muhammad Iqbal
Object Recognition Using Simulated Evolution on Fourier Descriptors. WSC (2009)