Pawel Plawiak

发表

Hand Body Language Gesture Recognition Based on Signals From Specialized Glove and Machine Learning Algorithms

Michal Niedzwiecki, Krzysztof Rzecki, Pawel Plawiak, 2016, IEEE Transactions on Industrial Informatics.

ECG signals (744 fragments)

Pawel Plawiak, 2017 .

ECG signals (1000 fragments)

Pawel Plawiak, Pawel Plawiak, 2017 .

Hyperspectral Classification of Blood-Like Substances Using Machine Learning Methods Combined with Genetic Algorithms in Transductive and Inductive Scenarios pdf

Pawel Plawiak, Filip Palka, Wojciech Ksika.zek, 2020, Sensors.

A new machine learning technique for an accurate diagnosis of coronary artery disease

U. Rajendra Acharya, Moloud Abdar, Ru San Tan, 2019, Comput. Methods Programs Biomed..

Approximation of phenol concentration using novel hybrid computational intelligence methods

Ryszard Tadeusiewicz, Pawel Plawiak, 2014, Int. J. Appl. Math. Comput. Sci..

Novel genetic ensembles of classifiers applied to myocardium dysfunction recognition based on ECG signals

Pawel Plawiak, Pawel Plawiak, 2017, Swarm Evol. Comput..

Person recognition based on touch screen gestures using computational intelligence methods

Michal Niedzwiecki, Krzysztof Rzecki, Pawel Plawiak, 2017, Inf. Sci..

Novel methodology of cardiac health recognition based on ECG signals and evolutionary-neural system

Pawel Plawiak, Pawel Plawiak, 2018, Expert Syst. Appl..

Face Recognition with Triangular Fuzzy Set-Based Local Cross Patterns in Wavelet Domain

Moloud Abdar, Mohammad Ehsan Basiri, Pawel Plawiak, 2019, Symmetry.

Arrhythmia detection using deep convolutional neural network with long duration ECG signals

U. Rajendra Acharya, Ru San Tan, Pawel Plawiak, 2018, Comput. Biol. Medicine.

Comparison of computational intelligence methods on the example of phenol approximation based on signals from metal oxide sensor array

Krzysztof Rzecki, Pawel Plawiak, 2014 .

Application of Computational Intelligence Methods for the Automated Identification of Paper-Ink Samples Based on LIBS

Mateusz Baran, Michal Niedzwiecki, Krzysztof Rzecki, 2018, Sensors.

A novel machine learning approach for early detection of hepatocellular carcinoma patients

U. Rajendra Acharya, Moloud Abdar, Pawel Plawiak, 2019, Cognitive Systems Research.

Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring

U. Rajendra Acharya, Moloud Abdar, Pawel Plawiak, 2019, Appl. Soft Comput..

Approximation of Phenol Concentration Using Computational Intelligence Methods Based on Signals From the Metal-Oxide Sensor Array

Krzysztof Rzecki, Pawel Plawiak, Pawel Plawiak, 2015, IEEE Sensors Journal.

DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring

U. Rajendra Acharya, Moloud Abdar, Vladimir Makarenkov, 2020, Inf. Sci..

IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment

U. Rajendra Acharya, Roohallah Alizadehsani, Moloud Abdar, 2019, Journal of Medical Systems.

An estimation of the state of consumption of a positive displacement pump based on dynamic pressure or vibrations using neural networks

Pawel Plawiak, 2014, Neurocomputing.

Development of accurate classification of heavenly bodies using novel machine learning techniques

Mohamed Hammad, Pawel Plawiak, U. Rajendra Acharya, 2021, Soft Computing.