Agnieszka Pregowska

Orcid: 0000-0001-9163-9931

According to our database1, Agnieszka Pregowska authored at least 25 papers between 2014 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Implicit neural representations as a coordinate-based framework for continuous environmental field reconstruction from sparse ecological observations.
CoRR, April, 2026

Continuous ageing trajectory representations for knee-aware lifetime prediction of lithium-ion batteries across heterogeneous dataset.
CoRR, April, 2026

Impact of Neuron Models on Spiking Neural Network Performance: A Complexity-based Classification Approach.
Neuroinformatics, March, 2026

Implicit neural representations for larval zebrafish brain microscopy: a reproducible benchmark on the MapZebrain atlas.
CoRR, March, 2026

On Stealing Graph Neural Network Models.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Impact of Neuron Models on Spiking Neural Networks performance. A Complexity Based Classification Approach.
CoRR, September, 2025

Improving Liver Disease Diagnosis with SNNDeep: A Custom Spiking Neural Network Using Diverse Learning Algorithms.
CoRR, August, 2025

Learning Internal Biological Neuron Parameters and Complexity-Based Encoding for Improved Spiking Neural Networks Performance.
CoRR, August, 2025

Bio-Inspired Classification: Combining Information Theory and Spiking Neural Networks - Influence of the Learning Rules.
CoRR, June, 2025

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection.
CoRR, June, 2025

2024
How scanning probe microscopy can be supported by Artificial Intelligence and quantum computing.
CoRR, 2024

Does Adding of Neurons to the Network Layer Lead to Increased Transmission Efficiency?
IEEE Access, 2024

Efficient Model-Stealing Attacks Against Inductive Graph Neural Networks.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023
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.
Proceedings of the Extended Reality - International Conference, 2023

2022
The Application of Artificial Intelligence in Magnetic Hyperthermia Based Research.
Future Internet, 2022

2021
Signal Fluctuations and the Information Transmission Rates in Binary Communication Channels.
Entropy, 2021

2020
From Mirrors to Free-Space Optical Communication - Historical Aspects in Data Transmission.
Future Internet, 2020

Overview of the holographic-guided cardiovascular interventions and training - a perspective.
Bio Algorithms Med Syst., 2020

Three-Dimensional Operating Room with Unlimited Perspective.
Proceedings of the Multimedia Communications, Services and Security, 2020

2019
How Far can Neural Correlations Reduce Uncertainty? Comparison of Information Transmission Rates for Markov and Bernoulli Processes.
Int. J. Neural Syst., 2019

Using Lempel-Ziv complexity as effective classification tool of the sleep-related breathing disorders.
Comput. Methods Programs Biomed., 2019

Information processing in the LGN: a comparison of neural codes and cell types.
Biol. Cybern., 2019

2017
Sleep-related breathing biomarkers as a predictor of vital functions.
Bio Algorithms Med Syst., 2017

2016
Temporal code versus rate code for binary Information Sources.
Neurocomputing, 2016

2014
Modeling and Dynamic Analysis of the Precise Electromechanical Systems Driven by the Stepping Motors.
Proceedings of the Recent Advances in Automation, 2014


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