MACHINE LEARNING ALGORITHMS FOR ERYTHEMATO-SQUAMOUS DISEASE CLASSIFICATION: FEATURE RANKINGS AND PERFORMANCE ANALYSIS
- DOI
- 10.24874/pes.si.24.03.009
- Published
- 12
- Container
- Proceedings on Engineering Sciences
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- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.24874/pes.si.24.03.009,
title = {MACHINE LEARNING ALGORITHMS FOR ERYTHEMATO-SQUAMOUS DISEASE CLASSIFICATION: FEATURE RANKINGS AND PERFORMANCE ANALYSIS},
author = {M. Venkata Subbarao and S. Lakshmi Praveena and T. Naga Sharmila and Praveen Kumar Nalli and G. Challa Ram and D. Ramesh Varma and Srinivasarao Alluri and Tabassum Nazeer Syed},
year = {2024},
journal = {Proceedings on Engineering Sciences},
doi = {10.24874/pes.si.24.03.009},
url = {https://doi.org/10.24874/pes.si.24.03.009}
}RIS
TY - JOUR TI - MACHINE LEARNING ALGORITHMS FOR ERYTHEMATO-SQUAMOUS DISEASE CLASSIFICATION: FEATURE RANKINGS AND PERFORMANCE ANALYSIS AU - M. Venkata Subbarao AU - S. Lakshmi Praveena AU - T. Naga Sharmila AU - Praveen Kumar Nalli AU - G. Challa Ram AU - D. Ramesh Varma AU - Srinivasarao Alluri AU - Tabassum Nazeer Syed PY - 2024 JO - Proceedings on Engineering Sciences DO - 10.24874/pes.si.24.03.009 UR - https://doi.org/10.24874/pes.si.24.03.009 ER -
APA
Subbarao, M. V., Praveena, S. L., Sharmila, T. N., Nalli, P. K., Ram, G. C., Varma, D. R., Alluri, S., & Syed, T. N. (2024). MACHINE LEARNING ALGORITHMS FOR ERYTHEMATO-SQUAMOUS DISEASE CLASSIFICATION: FEATURE RANKINGS AND PERFORMANCE ANALYSIS. Proceedings on Engineering Sciences. https://doi.org/10.24874/pes.si.24.03.009
Source records
- doaj · retrieved 2026-09-26T18:45:33.776Z