Urszula Libal, PhD
E-mail: urszula.libal@pwr.edu.pl
Unit: Faculty of Electronics, Photonics and Microsystems (N) » Department of Acoustics, Multimedia and Signal Processing
Publications in the DONA database
ORCID 0000-0002-3348-510X
Research interests
- Signal processing
- Machine learning
- Pattern recognition
- Anomaly detection
- Tensor transformations
- Quantum kernel methods
- Radar systems
- Smart beekeeping
Most important publications from 2020-2025
- Paweł Biernacki, Urszula Libal. Nonlinear Schur-type audio signal parameterization for convolutional networks. IEEE Signal Processing Letters. 2025, vol. 32, pp. 1665-1669.
- Piotr Ł. Książek, Urszula Libal, Aleksandra Król-Nowak. Spectral components of honey bee sound signals recorded inside and outside the beehive: an explainable machine learning approach to diurnal pattern recognition. Sensors. 2025, vol. 25, no. 14, art. 4424, pp. 1-17.
- Urszula Libal, Paweł Biernacki. Non-intrusive system for honeybee recognition based on audio signals and maximum likelihood classification by autoencoder. Sensors. 2024, vol. 24, no. 16, art. 5389, pp. 1-19.
- Urszula Libal, John S. Baras, Karl H. Johansson. Dimensionality reduction of Volterra kernels by tensor decomposition using higher-order SVD. W: 2020 59th IEEE Conference on Decision and Control (CDC), Jeju Island, Republic of Korea, December 14-18, 2020. [Danvers, MA] : IEEE, cop. 2020. pp. 5935-5941.
