Muhammad Iqbal

Orcid: 0000-0001-9004-5453

Affiliations:
  • Higher Colleges of Technology, UAE
  • Xtracta Limited, Auckland, NZ (former)
  • Victoria University, Wellington, NZ (former)


According to our database1, Muhammad Iqbal authored at least 37 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
A Survey on Learning Classifier Systems from 2022 to 2024.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023
Attention in Rule-Based Machine Learning: Exploiting Learning Classifier Systems' Generalization for Image Classification.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022
Knowledge extraction and retention based continual learning by using convolutional autoencoder-based learning classifier system.
Inf. Sci., 2022

2021
Enhancing learning classifier systems through convolutional autoencoder to classify underwater images.
Soft Comput., 2021

A novel lifelong learning model based on cross domain knowledge extraction and transfer to classify underwater images.
Inf. Sci., 2021

Brain inspired lifelong learning model based on neural based learning classifier system for underwater data classification.
Expert Syst. Appl., 2021

DeepShip: An underwater acoustic benchmark dataset and a separable convolution based autoencoder for classification.
Expert Syst. Appl., 2021

2020
Learning Regular Expressions Using XCS-Based Classifier System.
Int. J. Pattern Recognit. Artif. Intell., 2020

2019
Genetic programming with transfer learning for texture image classification.
Soft Comput., 2019

Extracting and reusing blocks of knowledge in learning classifier systems for text classification: a lifelong machine learning approach.
Soft Comput., 2019

2018
Sentiment analysis and spam detection in short informal text using learning classifier systems.
Soft Comput., 2018

2017
Cross-Domain Reuse of Extracted Knowledge in Genetic Programming for Image Classification.
IEEE Trans. Evol. Comput., 2017

Extending XCS with Cyclic Graphs for Scalability on Complex Boolean Problems.
Evol. Comput., 2017

Optimizing XCSR for Text Classification.
Proceedings of the 2017 IEEE Symposium on Service-Oriented System Engineering, 2017

Solving Social Media Text Classification Problems Using Code Fragment-Based XCSR.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Text Classification Using Lifelong Machine Learning.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
Learning feature fusion strategies for various image types to detect salient objects.
Pattern Recognit., 2016

Reusing Extracted Knowledge in Genetic Programming to Solve Complex Texture Image Classification Problems.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

A comprehensive strategy for mammogram image classification using learning classifier systems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Integration of code-fragment based learning classifier systems for multiple domain perception and learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Evolutionary algorithms for classification of mammographie densities using local binary patterns and statistical features.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Improving classification on images by extracting and transferring knowledge in genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Improving genetic search in XCS-based classifier systems through understanding the evolvability of classifier rules.
Soft Comput., 2015

Special issue on the 20th anniversary of XCS.
Evol. Intell., 2015

2014
Improving the Scalability of XCS-Based Learning Classifier Systems.
PhD thesis, 2014

Reusing Building Blocks of Extracted Knowledge to Solve Complex, Large-Scale Boolean Problems.
IEEE Trans. Evol. Comput., 2014

Salient object detection using learning classifiersystems that compute action mappings.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013
Evolving optimum populations with XCS classifier systems - XCS with code fragmented action.
Soft Comput., 2013

Special issue on advances in Learning Classifier Systems.
Evol. Intell., 2013

Learning complex, overlapping and niche imbalance Boolean problems using XCS-based classifier systems.
Evol. Intell., 2013

Comparison of two methods for computing action values in XCS with code-fragment actions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Extending learning classifier system with cyclic graphs for scalability on complex, large-scale boolean problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Learning overlapping natured and niche imbalance boolean problems using XCS classifier systems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
Extracting and using building blocks of knowledge in learning classifier systems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

XCSR with Computed Continuous Action.
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

2011
Automatically defined functions for learning classifier systems.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2009
Object Recognition Using Simulated Evolution on Fourier Descriptors.
Proceedings of the Soft Computing in Industrial Applications, 2009


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