dr hab. inż. Paweł Pławiak

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Orcid ID: 

0000-0002-4317-2801

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profesor instytutu
Zespół badawczy

Zainteresowania: 

Machine Learning; Ensemble Learning; Deep Learning; Evolutionary Computation; Data Science

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Publikacje
Biblio RSS

2022

26. Mohammed, Y. Salaheldin, H. Abdelkader, P. Plawiak, and M. Hammad, "A novel model to optimize multiple imputation algorithm for missing data using evolution methods.", Biomedical Signal Processing and Control, vol. 76, 2022.
27. Dakshayani, V., G. Rao Locharla, P. Plawiak, V. Datti, and C. Karri, "Design of a Gabor Filter-Based Image Denoising Hardware Model", Electronics, vol. 11, 2022.
28. Plawiak, P., N. Salankar, S. Mian Qaisar, R. Tadeusiewicz, and M. Hammad, "EEG based alcoholism detection by oscillatory modes decomposition second order difference plots and machine learning.", Biocybernetics and Biomedical Engineering, vol. 42, 2022.
29. Sahoo, J. Prakash, A. Jaya Prakash, P. Plawiak, and S. Samantray, "Real-Time Hand Gesture Recognition Using Fine-Tuned Convolutional Neural Network.", Sensors, vol. 22, 2022.
30. Kora, P., C. Ping Ooi, O. Faust, U. Raghavendra, A. Gudigar, W. Yee Chan, K. Meenakshi, K. Swaraja, P. Plawiak, and R. U. Acharya, "Transfer learning techniques for medical image analysis: A review", Biocybernetics and Biomedical Engineering, vol. 42, 2022.
31. Sakr, A. S., P. Plawiak, R. Tadeusiewicz, and M. Hammad, "Cancelable ECG biometric based on combination of deep transfer learning with DNA and amino acid approaches for human authentication.", Information Sciences, vol. 585, 2022.
32. Tuncer, T., S. Dogan, P. Plawiak, and A. Subasi, "A novel Discrete Wavelet-Concatenated Mesh Tree and ternary chess pattern based ECG signal recognition method.", Biomedical Signal Processing and Control, vol. 72, 2022.
33. Hammad, M., S. Allaoua Chelloug, R. Alkanhel, A. Jaya Prakash, A. Muthanna, I. A. Elgendy, and P. Plawiak, "Automated Detection of Myocardial Infarction and Heart Conduction Disorders Based on Feature Selection and a Deep Learning Model", Sensors, vol. 22, 2022.
34. Oztekin, F., O. Katar, F. Sadak, M. Aydogan, T. Talo Yildirim, P. Plawiak, O. Yildirim, M. Talo, and M. Karabatak, "Automatic semantic segmentation for dental restorations in panoramic radiography images using U-Net model.", International Journal of Imaging Systems and Technology, vol. 32, 2022.
35. Prakash, A. Jaya, K. Kumar Patro, M. Hammad, R. Tadeusiewicz, and P. Plawiak, "BAED: A secured biometric authentication system using ECG signal based on deep learning techniques.", Biocybernetics and Biomedical Engineering, vol. 42, 2022.
36. Warmiński, G., Ł. Kalińczuk, M. Orczykowski, P. Urbanek, R. Bodalski, K. Zieliński, M. Gandor, P. F, Jaworski, G. S. Mintz, et al., "Artificial intelligence analysis of ECG signals to predict arrhythmia recurrence after cryoballoon ablation of atrial fibrillation.", European Heart Journal, vol. 43, 2022.
37. Warmiński, G., P. Urbanek, M. Orczykowski, R. Bodalski, Ł. Kalińczuk, K. Zieliński, G. S. Mintz, Z. Jedynak, A. Hasiec, J. Zakrzewska-Koperska, et al., "Association of left atrial enlargement and increased left ventricular wall thickness with arrhythmia recurrence after cryoballoon ablation for atrial fibrillation.", Kardiologia Polska (Polish Heart Journal), 2022.
38. Saber, S., K. Amin, P. Plawiak, R. Tadeusiewicz, and M. Hammad, "Graph Convolutional Network with Triplet Attention learning for Person Re-Identification.", Information Sciences, 2022.
39. Salehi, T., M. Zomorodi, P. Plawiak, M. Abbaszade, and V. Salari, "An optimizing method for performance and resource utilization in quantum machine learning circuits.", Scientific Reports, vol. 12, issue 1, 2022/10/10.
40. Tuncer, T., S. Dogan, P. Plawiak, and A. Subasi, "A novel Discrete Wavelet-Concatenated Mesh Tree and ternary chess pattern based ECG signal recognition method", Elsevier, Biomedical Signal Processing and Control, vol. 72, 02/2022.  (2.11 MB)

2021

41. Żelasko, D., and P. Plawiak, "Ensemble learning techniques for transmission quality classification in Pay&Require multi-layer network", International Journal of Applied Mathematics and Computer Science, vol. 31, issue 1, 03/2021.  (1.01 MB)
42. Pałka, F., W. Książek, P. Plawiak, M. Romaszewski, and K. Książek, "Hyperspectral Classification of Blood-Like Substances Using Machine Learning Methods Combined with Genetic Algorithms in Transductive and Inductive Scenarios", Sensors, vol. 21, 03/2021.
43. Tuncer, T., S. Dogan, G. Naik, and P. Plawiak, "Epilepsy attacks recognition based on 1D octal pattern, wavelet transform and EEG signals", Springer, Multimedia Tools and Applications , 04/2021.  (1.58 MB)
44. Wierzbiński, M., P. Plawiak, M. Hammad, and R. U Acharya, "Development of accurate classification of heavenly bodies using novel machine learning techniques", Springer, Soft Computing, vol. 25, issue 2021, 05/2021.
45. Książek, W., M. Gandor, and P. Plawiak, "Comparison of various approaches to combine logistic regression with genetic algorithms in survival prediction of hepatocellular carcinoma", Elsevier, Computers in Biology and Medicine, vol. 134, 07/2021.  (4.14 MB)
46. Zomorodi-Moghadam, M., M. Abdar, Z. Davarzani, X. Zhou, P. Plawiak, and , "Hybrid particle swarm optimization for rule discovery in the diagnosis of coronary artery disease", Wiley, Expert Systems, vol. 38, 01/2021.  (1.69 MB)
47. Hammad, M., P. Plawiak, K. Wang, and U. Rajendra Acharya, "ResNet‐Attention model for human authentication using ECG signals", Wiley, Expert Systems, vol. 38, issue 6, pp. e12547, 2021.  (2.75 MB)
48. Sinha, V. Kumar, K. Kumar Patro, P. Plawiak, and A. Jaya Prakash, "Smartphone-Based Human Sitting Behaviors Recognition Using Inertial Sensor", MDPI, Sensors, vol. 21, issue 19, 10/2021.
49. Roui, M. Beheshti, M. Zomorodi, M. Sarvelayati, M. Abdar, H. Noori, P. Plawiak, R. Tadeusiewicz, X. Zhou, A. Khosravi, S. Nahavandi, et al., "A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs", Elsevier, Knowledge-Based Systems, vol. 231, 11/23021, 2021.  (3.12 MB)
50. Abdar, M., M. Amin Fahami, S. Chakrabarti, A. Khosravi, P. Plawiak, R. U. Acharya, R. Tadeusiewicz, and S. Nahavandi, "BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification", Elsevier, Information Sciences, vol. 577, 10/2021.  (4.62 MB)

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Data aktualizacji: 20/12/2023 - 13:35; autor zmian: Łukasz Zimny (lzimny@iitis.pl)