E.J. Tkacz

Supervised and Unsupervised Learning Systems as a Part of Hybrid Structures Applied in EGG Signals Classifiers

E.J. Tkacz, P. Kostka, K. Jonderko, 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

Hybrid Feature Vector Extraction in Unsupervised Learning Neural Classifier

E.J. Tkacz, P.S. Kostka, D. Komorowski, 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

A new approach to the P-wave detection and classification based upon application of wavelet neural network

E.J. Tkacz, P. Kostka, A. Wrzesniowski, 2001, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

An application of principal dynamic modes for HRV signals spectrum decomposition related to the patients after ischemic brain stroke

E.J. Tkacz, P. Kostka, D. Komorowski, 2008, 2008 International Conference on Information Technology and Applications in Biomedicine.

Feature extraction for improving the support vector machine biomedical data classifier performance

E.J. Tkacz, P.S. Kostka, P. Kostka, 2008, 2008 International Conference on Information Technology and Applications in Biomedicine.

An application of wavelet neural networks (WNN) for heart valve prostheses characteristic

E.J. Tkacz, P. Kostka, Z. Malota, 2000, Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Cat. No.00CH37143).

An improvement of unsupervised hybrid biomedical signal classifiers by optimal feature extraction in system preliminary layer

E.J. Tkacz, P. Kostka, P. Kostka, 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.