Sheetal Rajpal
Orcid: 0000-0003-1420-8809
  According to our database1,
  Sheetal Rajpal
  authored at least 15 papers
  between 2020 and 2024.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
  2024
    Soft Comput., October, 2024
    
  
<i>XL<sub>1</sub>R-Net</i>: Explainable AI-driven improved L1-regularized deep neural architecture for NSCLC biomarker identification.
    
  
    Comput. Biol. Chem., February, 2024
    
  
Enlightening the path to NSCLC biomarkers: Utilizing the power of XAI-guided deep learning.
    
  
    Comput. Methods Programs Biomed., January, 2024
    
  
    Proceedings of the International Joint Conference on Neural Networks, 2024
    
  
  2023
XAI-MethylMarker: Explainable AI approach for biomarker discovery for breast cancer subtype classification using methylation data.
    
  
    Expert Syst. Appl., September, 2023
    
  
XAI-CNVMarker: Explainable AI-based copy number variant biomarker discovery for breast cancer subtypes.
    
  
    Biomed. Signal Process. Control., July, 2023
    
  
An explainable AI-driven biomarker discovery framework for Non-Small Cell Lung Cancer classification.
    
  
    Comput. Biol. Medicine, February, 2023
    
  
    Wirel. Pers. Commun., 2023
    
  
  2022
COV-ELM classifier: An extreme learning machine based identification of COVID-19 using chest X-ray images.
    
  
    Intell. Decis. Technol., 2022
    
  
    Digit. Signal Process., 2022
    
  
  2021
Triphasic DeepBRCA-A Deep Learning-Based Framework for Identification of Biomarkers for Breast Cancer Stratification.
    
  
    IEEE Access, 2021
    
  
  2020
COV-ELM classifier: An Extreme Learning Machine based identification of COVID-19 using Chest-Ray Images.
    
  
    CoRR, 2020