Agnieszka Pregowska

25 papers A* 1A 1Journal 20Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Impact of Neuron Models on Spiking Neural Network Performance: A Complexity-based Classification Approach.
Neuroinformatics
Zofia Rudnicka, Janusz Szczepanski, Agnieszka Pregowska
2026 J jnl
Implicit neural representations for larval zebrafish brain microscopy: a reproducible benchmark on the MapZebrain atlas.
CoRR
Agnieszka Pregowska
2026 A* conf
On Stealing Graph Neural Network Models.
AAAI
Marcin Podhajski, Jan Dubinski, Franziska Boenisch, Adam Dziedzic, Agnieszka Pregowska, Tomasz Pawel Michalak
2025 J jnl
Bio-Inspired Classification: Combining Information Theory and Spiking Neural Networks - Influence of the Learning Rules.
CoRR
Zofia Rudnicka, Janusz Szczepanski, Agnieszka Pregowska
2025 J jnl
Impact of Neuron Models on Spiking Neural Networks performance. A Complexity Based Classification Approach.
CoRR
Zofia Rudnicka, Janusz Szczepanski, Agnieszka Pregowska
2025 J jnl
Improving Liver Disease Diagnosis with SNNDeep: A Custom Spiking Neural Network Using Diverse Learning Algorithms.
CoRR
Zofia Rudnicka, Janusz Szczepanski, Agnieszka Pregowska
2025 J jnl
Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection.
CoRR
Zofia Rudnicka, Januszcz Szczepanski, Agnieszka Pregowska
2025 J jnl
Learning Internal Biological Neuron Parameters and Complexity-Based Encoding for Improved Spiking Neural Networks Performance.
CoRR
Zofia Rudnicka, Janusz Szczepanski, Agnieszka Pregowska
2025 J jnl
On Stealing Graph Neural Network Models.
CoRR
Marcin Podhajski, Jan Dubinski, Franziska Boenisch, Adam Dziedzic, Agnieszka Pregowska, Tomasz P. Michalak
2024 J jnl
Does Adding of Neurons to the Network Layer Lead to Increased Transmission Efficiency?
IEEE Access
Bartosz Paprocki, Agnieszka Pregowska, Janusz Szczepanski
2024 A conf
Efficient Model-Stealing Attacks Against Inductive Graph Neural Networks.
ECAI
Marcin Podhajski, Jan Dubinski, Franziska Boenisch, Adam Dziedzic, Agnieszka Pregowska, Tomasz P. Michalak
2024 J jnl
Efficient Model-Stealing Attacks Against Inductive Graph Neural Networks.
CoRR
Marcin Podhajski, Jan Dubinski, Franziska Boenisch, Adam Dziedzic, Agnieszka Pregowska, Tomasz P. Michalak
2024 J jnl
How scanning probe microscopy can be supported by Artificial Intelligence and quantum computing.
CoRR
Agnieszka Pregowska, Agata Roszkiewicz, Magdalena Osial, Michael Giersig
2023 — conf
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.
XR (1)
Klaudia Proniewska, Radek Kolecki, Anna Grochowska, Tadeusz J. Popiela, Tomasz Rogula, Krzysztof Malinowski, Damian Dolega-Dolegowski, Jakub Kenig, Piotr Richter, Julianna Dabrowa, MHD Jafar Mortada, Peter M. van Dam, Agnieszka Pregowska
2022 J jnl
The Application of Artificial Intelligence in Magnetic Hyperthermia Based Research.
Future Internet
Magdalena Osial, Agnieszka Pregowska
2021 J jnl
Signal Fluctuations and the Information Transmission Rates in Binary Communication Channels.
Entropy
Agnieszka Pregowska
2020 J jnl
From Mirrors to Free-Space Optical Communication - Historical Aspects in Data Transmission.
Future Internet
Magdalena Garlinska, Agnieszka Pregowska, Karol Masztalerz, Magdalena Osial
2020 J jnl
Overview of the holographic-guided cardiovascular interventions and training - a perspective.
Bio Algorithms Med Syst.
Klaudia Proniewska, Agnieszka Pregowska, Piotr Walecki, Damian Dolega-Dolegowski, Roberto Ferrari, Dariusz Dudek
2020 — conf
Three-Dimensional Operating Room with Unlimited Perspective.
MCSS
Klaudia Proniewska, Agnieszka Pregowska, Damian Dolega-Dolegowski, Jakub Chmiel, Dariusz Dudek
2019 J jnl
How Far can Neural Correlations Reduce Uncertainty? Comparison of Information Transmission Rates for Markov and Bernoulli Processes.
Int. J. Neural Syst.
Agnieszka Pregowska, Ehud Kaplan, Janusz Szczepanski
2019 J jnl
Information processing in the LGN: a comparison of neural codes and cell types.
Biol. Cybern.
Agnieszka Pregowska, Alex Casti, Ehud Kaplan, Eligiusz Wajnryb, Janusz Szczepanski
2019 J jnl
Using Lempel-Ziv complexity as effective classification tool of the sleep-related breathing disorders.
Comput. Methods Programs Biomed.
Agnieszka Pregowska, Klaudia Proniewska, Peter M. van Dam, Janusz Szczepanski
2017 J jnl
Sleep-related breathing biomarkers as a predictor of vital functions.
Bio Algorithms Med Syst.
Klaudia Proniewska, Agnieszka Pregowska, Krzysztof Piotr Malinowski
2016 J jnl
Temporal code versus rate code for binary Information Sources.
Neurocomputing
Agnieszka Pregowska, Janusz Szczepanski, Eligiusz Wajnryb
2014 — ch.
Modeling and Dynamic Analysis of the Precise Electromechanical Systems Driven by the Stepping Motors.
Recent Advances in Automation, Robotics and Measuring Techniques
Agnieszka Pregowska, Tomasz Szolc, Andrzej Pochanke, Robert Konowrocki