Sheetal Rajpal
Orcid: 0000-0003-1420-8809
According to our database1,
Sheetal Rajpal
authored at least 14 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
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