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Generating Knowledge-Guided Discriminative Features Using Genetic Programming for Melanoma Detection

  • Published:2021-08 Issue:4 Volume:5 Page:554-569
  • ISSN:2471-285X
  • Container-title:IEEE Transactions on Emerging Topics in Computational Intelligence
  • language:
  • Short-container-title:IEEE Trans. Emerg. Top. Comput. Intell.

Author:

Ain Qurrat UlORCID,Al-Sahaf HarithORCID,Xue BingORCID,Zhang MengjieORCID

Funder

New Zealand Government

Science for Technological Innovation Challenge

University Research Fund

Victoria University of Wellington

MBIE Data Science SSIF Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computational Mathematics,Control and Optimization,Computer Science Applications

Cited by 37 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A genetic programming approach with adaptive region detection to skin cancer image classification;Journal of Automation and Intelligence;2024-09

2. Automatically Evolving Interpretable Feature Vectors Using Genetic Programming for an Ensemble Classifier in Skin Cancer Detection;IEEE Computational Intelligence Magazine;2024-08

3. Dimensionality Reduction for Classification Using Divide-and-Conquer Based Genetic Programming;2024 IEEE Congress on Evolutionary Computation (CEC);2024-06-30

4. Deep Learning Technique for Dermoscopy Image Processing Model for Early Melanoma Detection;2024 International Conference on Expert Clouds and Applications (ICOECA);2024-04-18

5. Deep Variational Inference Network for Single Image Reflection Removal;IEEE Transactions on Emerging Topics in Computational Intelligence;2024-04
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