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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 Saeid Nahavandi  [Clear All Filters]
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)
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)
2020
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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