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Kora P, Ooi CPing, Faust O, Raghavendra U., Gudigar A, Chan WYee, Meenakshi K., Swaraja K., Plawiak P, U. Acharya R.  2022.  Transfer learning techniques for medical image analysis: A review. Biocybernetics and Biomedical Engineering. 42

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)

Abdar M, Fahami MAmin, Chakrabarti S, Khosravi A, Plawiak P, U. Acharya R, Tadeusiewicz R, Nahavandi S.  2021.  BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification. Elsevier, Information Sciences. 577 (4.62 MB)

Roui MBeheshti, Zomorodi M, Sarvelayati M, Abdar M, Noori H, Plawiak P, Tadeusiewicz R, Zhou X, Khosravi A, Nahavandi S et al..  2021.  A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs. Elsevier, Knowledge-Based Systems. 231 (3.12 MB)

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)

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)