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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 4 results
Filters: Author is Pawel Plawiak and Keyword is Feature selection  [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
Hammad M, Kandala RNVPS, Abdelatey A, Abdar M, Zomorodi‐Moghadam M, San Tan R, U. Acharya R, Pławiak J, Tadeusiewicz R, Makarenkov V et al..  2021.  Automated detection of shockable ECG signals: A review. Elsevier, Information Sciences.  (3.76 MB)
2020
Nasarian E, Abdar M, Fahami MAmin, Alizadehsani R, Hussain S, Basiri MEhsan, Zomorodi-Moghadam M, Zhou X, Plawiak P, U. Acharya R et al..  2020.  Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach. Elsevier, Pattern Recognition Letters. 133:33-40. (913.08 KB)
Alizadehsani R, Roshanzamir M, Abdar M, Beykikhoshk A, Khosravi A, Nahavandi S, Plawiak P, San Tan R, U Acharya R.  2020.  Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries. Wiley, Expert Systems.  (2.36 MB)

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