Paweł Pławiak

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Citations	5093	4956
h-index	34	32
i10-index	67	67

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Rajendra AcharyaProfessor of Artificial Intelligence and Computing, University of Southern Queensland, AustraliaVerified email at usq.edu.au
Mohamed HammadAssistant Professor at FCI, Menoufia University, Prince Sultan UniversityVerified email at psu.edu.sa
Ryszard TadeusiewiczAGH University of Science and TechnologyVerified email at agh.edu.pl
Moloud AbdarAlfred Deakin Postdoctoral Research Fellow, Deakin University, AustraliaVerified email at deakin.edu.au
Dr. Jaya Prakash AllamVellore Institute of Technology University Vellore; (Stanford: Top 2% Scientists-2024)Verified email at vit.ac.in
Ru San TanConsultant, National Heart Centre;Duke-NUS Medical SchoolVerified email at nhc.com.sg
Özal YILDIRIMFırat ÜniversitesiVerified email at firat.edu.tr
Dr. Kiran Kumar PatroAssistant Professor, AITAM, TekkaliVerified email at adityatekkali.edu.in
Wojciech KsiążekPolitechnika KrakowskaVerified email at pk.edu.pl
Mariam ZomorodiCracow University of TechnologyVerified email at pk.edu.pl
Ahmed A. Abd El-Latif, Ph.D, Full Profe...Prince Sultan University, Menoufia University, Head of MEGANETLAB 6G, Deputy Director of QICVerified email at psu.edu.sa
Vladimir MakarenkovUniversité du Québec à MontréalVerified email at uqam.ca
roohallah alizadehsaniResearch Fellow, IISRI, Deakin UniversityVerified email at deakin.edu.au
Türker TUNCERFırat Üniversitesi, Associate Professor of Digital Forensics EngineeringVerified email at firat.edu.tr
Sengul DOGANProfessor of Digital Forensics Engineering, Firat UniversityVerified email at firat.edu.tr
Krzysztof RzeckiAGH University of KrakowVerified email at agh.edu.pl
Tomasz SośnickiAGH University of Science and TechnologyVerified email at agh.edu.pl
Michał NiedźwieckiCracow University of TechnologyVerified email at pk.edu.pl
Saeed Mian QaisarElectrical and Computer Engineering, Effat UniversityVerified email at effatuniversity.edu.sa
Distinguished Professor Saeid Nahav...IEEE Fellow, Swinburne University of Technology, Harvard UniversityVerified email at ieee.org

Paweł Pławiak

Cracow University of Technology

Verified email at pk.edu.pl - Homepage

Machine Learning Ensemble Learning Deep Learning Evolutionary Computation Data Science


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Arrhythmia detection using deep convolutional neural network with long duration ECG signals Ö Yıldırım, P Pławiak, RS Tan, UR Acharya Elsevier Computers in Biology and Medicine 102 (11), 411-420, 2018	815	2018
A New Machine Learning Technique for an Accurate Diagnosis of Coronary Artery Disease M Abdar, W Książek, UR Acharya, RS Tan, V Makarenkov, P Pławiak Elsevier Computer Methods and Programs in Biomedicine 179 (2019), 104992, 2019	336	2019
Novel Methodology of Cardiac Health Recognition Based on ECG Signals and Evolutionary-Neural System P Pławiak Elsevier Expert Systems with Applications 92 (2018), 334-349, 2018	273	2018
Novel Deep Genetic Ensemble of Classifiers for Arrhythmia Detection Using ECG Signals P Pławiak, UR Acharya Springer Neural Computing and Applications 32 (2020), 11137–11161, 2020	262	2020
Transfer learning techniques for medical image analysis: A review P Kora, CP Ooi, O Faust, U Raghavendra, A Gudigar, WY Chan, ... Elsevier Biocybernetics and Biomedical Engineering 42 (1), 79-107, 2022	226	2022
Automated arrhythmia detection using novel hexadecimal local pattern and multilevel wavelet transform with ECG signals T Tuncer, S Dogan, P Pławiak, UR Acharya Elsevier Knowledge-Based Systems 186 (2019), 104923, 2019	216	2019
Novel Genetic Ensembles of Classifiers Applied to Myocardium Dysfunction Recognition Based on ECG Signals P Pławiak Elsevier Swarm and Evolutionary Computation 39 (2018), 192-208, 2018	172	2018
Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring P Pławiak, M Abdar, UR Acharya Elsevier Applied Soft Computing 84 (2019), 105740, 2019	169	2019
DGHNL: A New Deep Genetic Hierarchical Network of Learners for Prediction of Credit Scoring P Pławiak, M Abdar, J Pławiak, V Makarenkov, UR Acharya Elsevier Information Sciences 516 (2020), 401-418, 2020	145	2020
A Novel Machine Learning Approach for Early Detection of Hepatocellular Carcinoma Patients W Książek, M Abdar, UR Acharya, P Pławiak Elsevier Cognitive Systems Research 54 (2019), 116-127, 2019	131	2019
ResNet‐Attention model for human authentication using ECG signals M Hammad, P Pławiak, K Wang, UR Acharya Wiley Expert Systems, e12547, 2020	124	2020
Hand Body Language Gesture Recognition Based on Signals From Specialized Glove and Machine Learning Algorithms P Plawiak, T Sosnicki, M Niedzwiecki, Z Tabor, K Rzecki IEEE Transactions on Industrial Informatics 12 (3), 1104 - 1113, 2016	124	2016
Association between work-related features and coronary artery disease: a heterogeneous hybrid feature selection integrated with balancing approach E Nasarian, M Abdar, MA Fahami, R Alizadehsani, S Hussain, ME Basiri, ... Elsevier Pattern Recognition Letters 133 (2020), 33-40, 2020	117	2020
Real-Time Hand Gesture Recognition Using Fine-Tuned Convolutional Neural Network JP Sahoo, AJ Prakash, P Pławiak, S Samantray MDPI Sensors 22 (3), 706, 2022	108	2022
Hybrid particle swarm optimization for rule discovery in the diagnosis of coronary artery disease M Zomorodi‐moghadam, M Abdar, Z Davarzani, X Zhou, P Pławiak, ... Wiley Expert Systems 38 (1), 1-17, 2021	79	2021
BARF: A New Direct and Cross-based Binary Residual Feature Fusion with Uncertainty-Aware Module for Medical Image Classification M Abdar, MA Fahami, S Chakrabarti, A Khosravi, P Pławiak, UR Acharya, ... Elsevier Information Sciences 577 (2021), 353-378, 2021	75	2021
Comparison of various approaches to combine logistic regression with genetic algorithms in survival prediction of hepatocellular carcinoma W Książek, M Gandor, P Pławiak Elsevier Computers in Biology and Medicine 134 (2021), 104431, 2021	69	2021
Internet of medical things and healthcare 4.0: Trends, requirements, challenges, and research directions M Osama, AA Ateya, MS Sayed, M Hammad, P Pławiak, AA Abd El-Latif, ... Sensors 23 (17), 7435, 2023	60	2023
Ensemble Residual Networks based Gender and Activity Recognition Method with Signals T Tuncer, F Ertam, S Dogan, E Aydemir, P Pławiak Springer The Journal of Supercomputing 76 (2020), 2119–2138, 2020	56	2020
AI-powered diagnosis of skin cancer: a contemporary review, open challenges and future research directions N Melarkode, K Srinivasan, SM Qaisar, P Plawiak Cancers 15 (4), 1183, 2023	55	2023

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