Enhancing Multi–Class Prediction of Skin Lesions with Feature Importance Assessment
Authors
Agne Paulauskaite-Taraseviciene
agne.paulauskaite-taraseviciene@ktu.lt
Artificial Intelligence Centre Kaunas University of Technology K, Kaunas, Lithuania
Kristina Sutiene
Department of Mathematical Modeling Kaunas University of Technology Studentu g, Kaunas, Lithuania
Nojus Dimsa
Faculty of Informatics Kaunas University of Technology Studentu g, Kaunas, Lithuania
Skaidra Valiukeviciene
skaidra.valiukeviciene@kaunoklinikos.lt
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
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
Related subjects:
© 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.