Modeling and Dynamic Analysis of the Precise Electromechanical Systems Driven by the Stepping Motors. - Agnieszka Pregowska; Tomasz Szolc; Andrzej Pochanke; Robert Konowrocki (Recent Advances in Automation, Robotics and Measuring Techniques, 2014)

Temporal code versus rate code for binary Information Sources. - Agnieszka Pregowska; Janusz Szczepanski; Eligiusz Wajnryb (Neurocomputing, 2016)

Sleep-related breathing biomarkers as a predictor of vital functions. - Klaudia Proniewska; Agnieszka Pregowska; Krzysztof Piotr Malinowski (Bio Algorithms Med Syst., 2017)

Information processing in the LGN: a comparison of neural codes and cell types. - Agnieszka Pregowska; Alex Casti; Ehud Kaplan; Eligiusz Wajnryb; Janusz Szczepanski (Biol. Cybern., 2019)

Using Lempel-Ziv complexity as effective classification tool of the sleep-related breathing disorders. - Agnieszka Pregowska; Klaudia Proniewska; Peter M. van Dam; Janusz Szczepanski (Comput. Methods Programs Biomed., 2019)

How Far can Neural Correlations Reduce Uncertainty? Comparison of Information Transmission Rates for Markov and Bernoulli Processes. - Agnieszka Pregowska; Ehud Kaplan; Janusz Szczepanski (Int. J. Neural Syst., 2019)

Three-Dimensional Operating Room with Unlimited Perspective. - Klaudia Proniewska; Agnieszka Pregowska; Damian Dolega-Dolegowski; Jakub Chmiel; Dariusz Dudek (MCSS, 2020)

Overview of the holographic-guided cardiovascular interventions and training - a perspective. - Klaudia Proniewska; Agnieszka Pregowska; Piotr Walecki; Damian Dolega-Dolegowski; Roberto Ferrari; Dariusz Dudek (Bio Algorithms Med Syst., 2020)

From Mirrors to Free-Space Optical Communication - Historical Aspects in Data Transmission. - Magdalena Garlinska; Agnieszka Pregowska; Karol Masztalerz; Magdalena Osial (Future Internet, 2020)

Signal Fluctuations and the Information Transmission Rates in Binary Communication Channels. - Agnieszka Pregowska (Entropy, 2021)

The Application of Artificial Intelligence in Magnetic Hyperthermia Based Research. - Magdalena Osial; Agnieszka Pregowska (Future Internet, 2022)

The Application of the Preoperative Image-Guided 3D Visualization Supported by Machine Learning to the Prediction of Organs Reconstruction During Pancreaticoduodenectomy via a Head-Mounted Displays. - Klaudia Proniewska; Radek Kolecki; Anna Grochowska; Tadeusz Popiela; Tomasz Rogula; Krzysztof Malinowski 002; Damian Dolega-Dolegowski; Jakub Kenig; Piotr Richter; Julianna Dabrowa; MHD Jafar Mortada; Peter M. van Dam; et al. (XR (1), 2023)

Efficient Model-Stealing Attacks Against Inductive Graph Neural Networks. - Marcin Podhajski; Jan Dubinski; Franziska Boenisch; Adam Dziedzic; Agnieszka Pregowska; Tomasz P. Michalak (ECAI, 2024)

Does Adding of Neurons to the Network Layer Lead to Increased Transmission Efficiency? - Bartosz Paprocki; Agnieszka Pregowska; Janusz Szczepanski (IEEE Access, 2024)

How scanning probe microscopy can be supported by Artificial Intelligence and quantum computing. - Agnieszka Pregowska; Agata Roszkiewicz; Magdalena Osial; Michael Giersig (CoRR, 2024)

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection. - Zofia Rudnicka; Januszcz Szczepanski; Agnieszka Pregowska (CoRR, 2025)

Bio-Inspired Classification: Combining Information Theory and Spiking Neural Networks - Influence of the Learning Rules. - Zofia Rudnicka; Janusz Szczepanski; Agnieszka Pregowska (CoRR, 2025)