Feature selection for pattern recognition by LASSO and thresholding methods - a comparison. - Urszula Libal (MMAR, 2011)

Multistage pattern recognition of signals represented in wavelet bases with reject option. - Urszula Libal (MMAR, 2012)

Multistage Naive Bayes Classifier with Reject Option for Multiresolution Signal Representation. - Urszula Libal (ICPRAM, 2013)

Wavelet based shock wave and muzzle blast classification for different supersonic projectiles. - Urszula Libal; Krystian Spyra (Expert Syst. Appl., 2014)

Risk upper bound for a NM-type multiresolution classification scheme of random signals by Daubechies wavelets. - Urszula Libal; Zygmunt Hasiewicz (Eng. Appl. Artif. Intell., 2017)

Pattern Recognition Based on Multidimensional Nonlinear Schur Parametrization. - Urszula Libal (DSP, 2018)

Statistical properties of signals approximated by orthogonal polynomials and Schur parametrization. - Wladyslaw Magiera; Urszula Libal (SPA, 2018)

Comparison of Keypoint Detection Methods for Indoor and Outdoor Scene Recognition. - Urszula Libal; Lukasz Loziuk (J. Autom. Mob. Robotics Intell. Syst., 2018)

Efficient measurement of higher-order statistics of stochastic processes. - Wladyslaw Magiera; Urszula Libal; Agnieszka Wielgus (Kybernetika, 2018)

Dimensionality Reduction of Volterra Kernels by Tensor Decomposition using Higher-Order SVD. - Urszula Libal; John S. Baras; Karl Henrik Johansson (CDC, 2020)

Non-Intrusive System for Honeybee Recognition Based on Audio Signals and Maximum Likelihood Classification by Autoencoder. - Urszula Libal; Pawel Biernacki (Sensors, 2024)

Improved Quantum Genetic Algorithm with Mutation - Study on Algorithm Convergence. - Agnieszka Wielgus; Dawid Podgórski; Urszula Libal (EUROCON, 2025)

Nonlinear Schur-Type Audio Signal Parameterization for Convolutional Networks. - Pawel Biernacki; Urszula Libal (IEEE Signal Process. Lett., 2025)