Pawel Plawiak - Citegraph

Author Info

Name	Affiliation	Papers
PAWEL PLAWIAK	Cracow Univ Technol, Inst Telecomp, Ul Warszawska 24,F-5, PL-31155 Krakow, Poland	19
Collaborators	Citations	PageRank
50	99	8.84
Referers	Referees	References
264	834	298

Search Limit

100834

Publications (19 rows)

Collaborators (50 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Smartphone-Based Human Sitting Behaviors Recognition Using Inertial Sensor	0	0.34	2021
Resnet-Attention Model For Human Authentication Using Ecg Signals	1	0.35	2021
Development Of Accurate Classification Of Heavenly Bodies Using Novel Machine Learning Techniques	0	0.34	2021
Automated detection of shockable ECG signals: A review	0	0.34	2021
A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs	0	0.34	2021
BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification	1	0.43	2021
Hybrid Particle Swarm Optimization For Rule Discovery In The Diagnosis Of Coronary Artery Disease	3	0.40	2021
Epilepsy Attacks Recognition Based On 1d Octal Pattern, Wavelet Transform And Eeg Signals	0	0.34	2021
Machine learning techniques for transmission parameters classification in multi-agent managed network	0	0.34	2020
Novel deep genetic ensemble of classifiers for arrhythmia detection using ECG signals	15	0.53	2020
DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring.	7	0.40	2020
Ensemble residual network-based gender and activity recognition method with signals	1	0.35	2020
Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach	2	0.36	2020
A novel facial image recognition method based on perceptual hash using quintet triple binary pattern	1	0.35	2020
Automated arrhythmia detection using novel hexadecimal local pattern and multilevel wavelet transform with ECG signals.	10	0.45	2019
Novel methodology of cardiac health recognition based on ECG signals and evolutionary-neural system.	29	0.85	2018
Person recognition based on touch screen gestures using computational intelligence methods.	7	0.48	2017
Hand Body Language Gesture Recognition Based on Signals From Specialized Glove and Machine Learning Algorithms.	11	0.73	2016
Approximation Of Phenol Concentration Using Novel Hybrid Computational Intelligence Methods	11	1.14	2014

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