Wierzbiński M, Plawiak 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, Plawiak 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, Plawiak 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, Plawiak P, .  2021.  Hybrid particle swarm optimization for rule discovery in the diagnosis of coronary artery disease. Wiley, Expert Systems. 38 (1.69 MB)

Pałka F, Książek W, Plawiak 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

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)

Hammad M, Plawiak P, Wang K, Acharya URajendra.  2021.  ResNet‐Attention model for human authentication using ECG signals. Wiley, Expert Systems. 38(6):e12547. (2.75 MB)

Sinha VKumar, Patro KKumar, Plawiak P, Prakash AJaya.  2021.  Smartphone-Based Human Sitting Behaviors Recognition Using Inertial Sensor. MDPI, Sensors. 21(19)

Żelasko D, Książek W, Plawiak 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, 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)

Plawiak 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, Plawiak 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, 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)

Żelasko D, Plawiak 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, Plawiak 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, Plawiak 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)

Kandala RNVPS, Dhuli R, Plawiak P, Naik GR, Moeinzadeh H, Gargiulo GD, Gunnam S.  2019.  Towards Real-Time Heartbeat Classification: Evaluation of Nonlinear Morphological Features and Voting Method. MDPI, Sensors. 23(19):5079. (1.3 MB)

Kandala RNVPS, Dhuli R, Plawiak P, Naik GR, Moeinzadeh H, Gargiulo GD, Gunnam S.  2019.  Towards Real-Time Heartbeat Classification: Evaluation of Nonlinear Morphological Features and Voting Method. MDPI Sensors. 19:5079.