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Institute of Theoretical and Applied Informatics, Polish Academy of Sciences

Institute of Theoretical and Applied Informatics,
Polish Academy of Sciences

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Found 3 results
Filters: Author is Wojciech Książek and Keyword is Machine learning  [Clear All Filters]
2022
Książek W, Turza F, Plawiak P.  2022.  NCA-GA-SVM: A new two-level feature selection method based on neighborhood component analysis and genetic algorithm in hepatocellular carcinoma fatality prognosis. International Journal for Numerical Methods in Biomedical Engineering. 38
2021
Książek W, Gandor M, Plawiak P.  2021.  Comparison of various approaches to combine logistic regression with genetic algorithms in survival prediction of hepatocellular carcinoma. Elsevier, Computers in Biology and Medicine. 134 (4.14 MB)
2020
Książek W, Hammad M, Plawiak P, U. Acharya R, Tadeusiewicz R.  2020.  Development of novel ensemble model using stacking learning and evolutionary computation techniques for automated hepatocellular carcinoma detection. Biocybernetics and Biomedical Engineering. 40(4):1512-1524. (1.1 MB)

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