profesor instytutu
Zespół badawczy


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

Horizontal Tabs



30. Tuncer, T., S. Dogan, G. Naik, and P. Pławiak, "Epilepsy attacks recognition based on 1D octal pattern, wavelet transform and EEG signals", Springer, Multimedia Tools and Applications , 04/2021.  (1.58 MB)
31. Żelasko, D., and P. Pławiak, "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)
33. Hammad, M., P. Pławiak, 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)


35. Tuncer, T., F. Ertam, S. Dogan, E. Aydemir, and P. Pławiak, "Ensemble residual network-based gender and activity recognition method with signals", Journal of Supercomputing, vol. 76, issue 2020, pp. 2119–2138, 03/2020.  (2.74 MB)
38. Żelasko, D., P. Pławiak, and J. Kołodziej, "Machine learning techniques for transmission parameters classification in multi-agent managed network", 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID), Melbourne, Australia, IEEE, 05/2020.  (877.3 KB)
39. Tuncer, T., S. Dogan, M. Abdar, and P. Pławiak, "A novel facial image recognition method based on perceptual hash using quintet triple binary pattern", Multimedia Tools and Applications, vol. 79, issue 39, pp. 29573-29593, 10/2020.  (1.69 MB)
41. Pławiak, P., M. Abdar, J. Pławiak, V. Makarenkov, and R. U Acharya, "DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring", Elsevier, Information Sciences, vol. 516, pp. 401 - 418, 2020.  (1.21 MB)