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Enhancing Multi–Class Prediction of Skin Lesions with Feature Importance Assessment Cover

Enhancing Multi–Class Prediction of Skin Lesions with Feature Importance Assessment

International Journal of Applied Mathematics and Computer Science
Volume 34 (2024): Issue 4 (December 2024)
By: Agne Paulauskaite-Taraseviciene,  Kristina Sutiene,  Nojus Dimsa and  Skaidra Valiukeviciene  
Open Access
|Dec 2024

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DOI: https://doi.org/10.61822/amcs-2024-0041 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 617 - 629
Submitted on: Feb 15, 2024
Accepted on: Aug 23, 2024
Published on: Dec 25, 2024
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
skin lesion,
feature extraction,
graph theory,
multi-class prediction,
SHAP values.
Related subjects:
Mathematics,
Applied mathematics

© 2024 Agne Paulauskaite-Taraseviciene, Kristina Sutiene, Nojus Dimsa, Skaidra Valiukeviciene, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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