Found 18 results
Filters: Author is Paweł Pławiak  [Clear All Filters]
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)
Książek W, Gandor M, Pławiak 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)
Wierzbiński M, Pławiak P, Hammad M, U Acharya R.  2021.  Development of accurate classification of heavenly bodies using novel machine learning techniques. Springer, Soft Computing. 25(2021)
Żelasko D, Pławiak P.  2021.  Ensemble learning techniques for transmission quality classification in Pay&Require multi-layer network. International Journal of Applied Mathematics and Computer Science. 31(1) (1.01 MB)
Tuncer T, Dogan S, Naik G, Pławiak P.  2021.  Epilepsy attacks recognition based on 1D octal pattern, wavelet transform and EEG signals. Springer, Multimedia Tools and Applications .  (1.58 MB)
Zomorodi-Moghadam M, Abdar M, Davarzani Z, Zhou X, Pławiak P, .  2021.  Hybrid particle swarm optimization for rule discovery in the diagnosis of coronary artery disease. Expert Systems. 38 (1.69 MB)
Pałka F, Książek W, Pławiak P, Romaszewski M, Książek K.  2021.  Hyperspectral Classification of Blood-Like Substances Using Machine Learning Methods Combined with Genetic Algorithms in Transductive and Inductive Scenarios. Sensors. 21
Żelasko D, Książek W, Pławiak P.  2021.  Transmission Quality Classification with Use of Fusion of Neural Network and Genetic Algorithm in Pay&Require Multi-Agent Managed Network. MDPI, Sensors. 21 (503.51 KB)
Nasarian E, Abdar M, Fahami MAmin, Alizadehsani R, Hussain S, Basiri MEhsan, Zomorodi-Moghadam M, Zhou X, Pławiak 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, Pławiak 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)
Pławiak P, Abdar M, Pławiak J, Makarenkov V, U Acharya R.  2020.  DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring. Elsevier, Information Sciences. 516:401-418. (1.21 MB)
Tuncer T, Ertam F, Dogan S, Aydemir E, Pławiak P.  2020.  Ensemble residual network-based gender and activity recognition method with signals. Journal of Supercomputing. 76(2020):2119–2138. (2.74 MB)
Alizadehsani R, Roshanzamir M, Abdar M, Beykikhoshk A, Khosravi A, Nahavandi S, Pławiak 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)
Żelasko D, Pławiak P, Kołodziej J.  2020.  Machine learning techniques for transmission parameters classification in multi-agent managed network. 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID).  (877.3 KB)
Samami M, Akbari E, Abdar M, Pławiak P, Nematzadeh H, Basiri MEhsan, Makarenkov V.  2020.  A mixed solution-based high agreement filtering method for class noise detection in binary classification. Elsevier, Physica A: Statistical Mechanics and its Applications. :124219. (5.51 MB)
Tuncer T, Dogan S, Abdar M, Pławiak P.  2020.  A novel facial image recognition method based on perceptual hash using quintet triple binary pattern. Multimedia Tools and Applications. 79(39):29573-29593. (1.69 MB)
Hammad M, Pławiak P, Wang K, Acharya URajendra.  2020.  ResNet‐Attention model for human authentication using ECG signals. Wiley, Expert Systems. :e12547. (2.75 MB)