Sheetal Rajpal

Orcid: 0000-0003-1420-8809

According to our database1, Sheetal Rajpal authored at least 14 papers between 2020 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
I-LDD: an interpretable leaf disease detector.
Soft Comput., February, 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

Revealing the Unseen: Explainable AI-Driven Masked Face Recognition.
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

I-FLASH: Interpretable Fake News Detector Using LIME and SHAP.
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

ROSEmark: Robust semi-blind ECG watermarking scheme using SWT-DCT framework.
Digit. Signal Process., 2022

2021
Biomarker Gene Identification for Breast Cancer Classification.
CoRR, 2021

Deep Learning Based Model for Breast Cancer Subtype Classification.
CoRR, 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


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