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Journals
International Journal of Applied Mathematics and Computer Science
Volume 34 (2024): Issue 4 (December 2024)
Open Access
Enhancing Multi–Class Prediction of Skin Lesions with Feature Importance Assessment
Agne Paulauskaite-Taraseviciene
Agne Paulauskaite-Taraseviciene
Artificial Intelligence Centre Kaunas University of Technology K
Kaunas, Lithuania
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Paulauskaite-Taraseviciene, Agne
,
Kristina Sutiene
Kristina Sutiene
Department of Mathematical Modeling Kaunas University of Technology Studentu g
Kaunas, Lithuania
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Sutiene, Kristina
,
Nojus Dimsa
Nojus Dimsa
Faculty of Informatics Kaunas University of Technology Studentu g
Kaunas, Lithuania
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Dimsa, Nojus
and
Skaidra Valiukeviciene
Skaidra Valiukeviciene
Department of Skin and Venereal Diseases Lithuanian University of Health Sciences A
Kaunas, Lithuania
Department of Skin and Venereal Diseases Hospital of Lithuanian University of Health Sciences ‘Kauno klinikos’ Eiveniu g
Lithuania
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Valiukeviciene, Skaidra
Dec 25, 2024
International Journal of Applied Mathematics and Computer Science
Volume 34 (2024): Issue 4 (December 2024)
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Published Online:
Dec 25, 2024
Page range:
617 - 629
Received:
Feb 15, 2024
Accepted:
Aug 23, 2024
DOI:
https://doi.org/10.61822/amcs-2024-0041
Keywords
skin lesion
,
feature extraction
,
graph theory
,
multi-class prediction
,
SHAP values.
© 2024 Agne Paulauskaite-Taraseviciene et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
