Paweł Pławiak researcher, ORCID id # 0000-0002-4317-2801
Pławiak, Paweł.
VIAF ID: 117148449964715692827 (Personal)
Permalink: http://viaf.org/viaf/117148449964715692827
Preferred Forms
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Works
Title | Sources |
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Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach | |
Automated arrhythmia detection using novel hexadecimal local pattern and multilevel wavelet transform with ECG signals | |
Automated detection of shockable ECG signals: A review | |
Automatyczne diagnozowanie dysfunkcji mięśnia sercowego na podstawie analizy sygnału elektrokardiograficznego (EKG) przy wykorzystaniu systemu ewolucyjno-neuronowego | |
BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification | |
A Brief Review on EEG Signal Pre-processing Techniques for Real-Time Brain-Computer Interface Applications | |
Classification of tea specimens using novel hybrid artificial intelligence methods | |
Comparison of computational intelligence methods on the example of phenol approximation based on signals from metal oxide sensor array | |
Comparison of various approaches to combine logistic regression with genetic algorithms in survival prediction of hepatocellular carcinoma | |
Connectivity matrix model of quantum circuits and its application to distributed quantum circuit optimization | |
Design of a Gabor Filter-Based Image Denoising Hardware Model | |
Development of accurate classification of heavenly bodies using novel machine learning techniques | |
Development of novel ensemble model using stacking learning and evolutionary computation techniques for automated hepatocellular carcinoma detection | |
DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring | |
Ensemble residual network-based gender and activity recognition method with signals | |
Epilepsy attacks recognition based on 1D octal pattern, wavelet transform and EEG signals | |
An estimation of the state of consumption of a positive displacement pump based on dynamic pressure or vibrations using neural networks | |
Face Recognition with Triangular Fuzzy Set-Based Local Cross Patterns in Wavelet Domain | |
Hand Body Language Gesture Recognition Based on Signals From Specialized Glove and Machine Learning Algorithms | |
Hybrid genetic‐discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries | |
Hyperspectral Classification of Blood-Like Substances Using Machine Learning Methods Combined with Genetic Algorithms in Transductive and Inductive Scenarios | |
IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment | |
Improved Reference Image Encryption Methods Based on 2K Correction in the Integer Wavelet Domain | |
A mixed solution-based high agreement filtering method for class noise detection in binary classification | |
A new machine learning technique for an accurate diagnosis of coronary artery disease | |
A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs | |
A novel facial image recognition method based on perceptual hash using quintet triple binary pattern | |
Novel genetic ensembles of classifiers applied to myocardium dysfunction recognition based on ECG signals | |
Novel methodology of cardiac health recognition based on ECG signals and evolutionary-neural system | |
Person recognition based on touch screen gestures using computational intelligence methods | |
Przewidywanie przeżywalności pacjentów chorych na nowotwór wątrobokomórkowy z wykorzystaniem metod uczenia maszynowego = Predicting the survival of patients with hepatocellular carcinoma using machine learning methods | |
ResNet‐Attention model for human authentication using ECG signals | |
Smartphone-Based Human Sitting Behaviors Recognition Using Inertial Sensor | |
Towards Real-Time Heartbeat Classification: Evaluation of Nonlinear Morphological Features and Voting Method | |
Transmission Quality Classification with Use of Fusion of Neural Network and Genetic Algorithm in Pay&Require Multi-Agent Managed Network |