M. Pawlak

Thresholding-based sampling and signal reconstruction from multiple noisy observations

L. V. Nguyen, M. Pawlak, M. Pawlak, 2004, 2004 12th European Signal Processing Conference.

Nonparametric identification of a particular nonlinear time series system

M. Pawlak, W. Greblicki, 1992, IEEE Trans. Signal Process..

Pattern Classification with Noisy Features

M. Pawlak, D. Siu, 1998, SSPR/SPR.

Kernel classification rules in the presence of missing values

M. Pawlak, W. Siedlecki, M. Pawlak, 1990, [1990] Proceedings. 10th International Conference on Pattern Recognition.

Signal recovery from noisy samples via multiple observations and thresholding

L. V. Nguyen, M. Pawlak, 2004, 2004 12th European Signal Processing Conference.

On kernel and radial basis function techniques for classification and function recovering

M. Pawlak, M. F. Yat Fung Ng, 1994, Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 3 - Conference C: Signal Processing (Cat. No.94CH3440-5).

VizieR Online Data Catalog: Eclipsing binaries in the Magellanic System (Pawlak+, 2016)

Igor Soszyński, K. Ulaczyk, Jan Skowron, 2018 .