Agnieszka Wylomanska

According to our database, Agnieszka Wylomanska authored at least 26 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A modified gamma process for RUL prediction based on data with time-varying heavy-tailed distribution.

Daniel Kuzio, Radoslaw Zimroz, Agnieszka Wylomanska

Inf. Sci., 2025

Scaled Brownian motion with random anomalous diffusion exponent.

Hubert Woszczek, Aleksei Chechkin, Agnieszka Wylomanska

Commun. Nonlinear Sci. Numer. Simul., 2025

2024

Robust coherent and incoherent statistics for detection of hidden periodicity in models with non-Gaussian additive noise.

Wojciech Zulawinski, Jérôme Antoni, Radoslaw Zimroz, Agnieszka Wylomanska

EURASIP J. Adv. Signal Process., December, 2024

Alternative dependency measures-based approach for estimation of the α-stable periodic autoregressive model.

Wojciech Zulawinski, Piotr Kruczek, Agnieszka Wylomanska

Commun. Stat. Simul. Comput., March, 2024

Bearing Damage Detection With Orthogonal and Nonnegative Low-Rank Feature Extraction.

Mateusz Gabor, Rafal Zdunek, Radoslaw Zimroz, Agnieszka Wylomanska

IEEE Trans. Ind. Informatics, February, 2024

Modified Greenwood statistic and its application for statistical testing.

Katarzyna Skowronek, Marek Arendarczyk, Radoslaw Zimroz, Agnieszka Wylomanska

J. Comput. Appl. Math., 2024

Data-Driven Model for Sliced 5G Network Dimensioning and Planning, Featured With Forecast and "what-if" Analysis.

Dominik Dulas, Justyna Witulska, Agnieszka Wylomanska, Ireneusz Jablonski, Krzysztof Walkowiak

IEEE Access, 2024

Errors-in-Variables-Based Methodology of Estimation and Testing for Infinite-Variance Periodic Autoregressive Models with Additive Noise.

Wojciech Zulawinski, Agnieszka Wylomanska

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Non-Gaussian feature distribution forecasting based on ConvLSTM neural network and its application to robust machine condition prognosis.

Dawid Szarek, Ireneusz Jablonski, Radoslaw Zimroz, Agnieszka Wylomanska

Expert Syst. Appl., November, 2023

Identification and validation of periodic autoregressive model with additive noise: finite-variance case.

Wojciech Zulawinski, Aleksandra Grzesiek, Radoslaw Zimroz, Agnieszka Wylomanska

J. Comput. Appl. Math., August, 2023

Forecasting of symmetric α-stable autoregressive models by time series approach supported by artificial neural networks.

Aastha M. Sathe, Neelesh S. Upadhye, Agnieszka Wylomanska

J. Comput. Appl. Math., June, 2023

Non-Negative Matrix Underapproximation as Optimal Frequency Band Selector.

Mateusz Gabor, Rafal Zdunek, Radoslaw Zimroz, Agnieszka Wylomanska

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Yule-Walker-Based Approaches for Estimation of Noise-Corrupted Periodic Autoregressive Model - Finite- and Infinite-Variance Cases.

Wojciech Zulawinski, Agnieszka Wylomanska, Radoslaw Zimroz

Proceedings of the 31st European Signal Processing Conference, 2023

2022

Cross-codifference for bidimensional VAR(1) time series with infinite variance.

Aleksandra Grzesiek, Marek Teuerle, Agnieszka Wylomanska

Commun. Stat. Simul. Comput., 2022

Statistical test for anomalous diffusion based on empirical anomaly measure for Gaussian processes.

Dawid Szarek, Katarzyna Maraj-Zygmat, Grzegorz Sikora, Diego Krapf, Agnieszka Wylomanska

Comput. Stat. Data Anal., 2022

2021

Model of the Vibration Signal of the Vibrating Sieving Screen Suspension for Condition Monitoring Purposes.

Anna Michalak, Jacek Wodecki, Michal Drozda, Agnieszka Wylomanska, Radoslaw Zimroz

Sensors, 2021

Divergence-Based Segmentation Algorithm for Heavy-Tailed Acoustic Signals with Time-Varying Characteristics.

Aleksandra Grzesiek, Karolina Gasior, Agnieszka Wylomanska, Radoslaw Zimroz

Sensors, 2021

2020

How to detect the cyclostationarity in heavy-tailed distributed signals.

Piotr Kruczek, Radoslaw Zimroz, Agnieszka Wylomanska

Signal Process., 2020

Local Defect Detection in Bearings in the Presence of Heavy-Tailed Noise and Spectral Overlapping of Informative and Non-Informative Impulses.

Jakub Nowicki, Justyna Hebda-Sobkowicz, Radoslaw Zimroz, Agnieszka Wylomanska

Sensors, 2020

Identification, Decomposition and Segmentation of Impulsive Vibration Signals with Deterministic Components - A Sieving Screen Case Study.

Karolina Gasior, Hanna Urbanska, Aleksandra Grzesiek, Radoslaw Zimroz, Agnieszka Wylomanska

Sensors, 2020

Fractional Dynamics Identification via Intelligent Unpacking of the Sample Autocovariance Function by Neural Networks.

Dawid Szarek, Grzegorz Sikora, Michal Balcerek, Ireneusz Jablonski, Agnieszka Wylomanska

Entropy, 2020

2019

Identification and Statistical Analysis of Impulse-Like Patterns of Carbon Monoxide Variation in Deep Underground Mines Associated with the Blasting Procedure.

Justyna Hebda-Sobkowicz, Sebastian Gola, Radoslaw Zimroz, Agnieszka Wylomanska

Sensors, 2019

2018

Recurrence statistics for anomalous diffusion regime change detection.

Grzegorz Sikora, Agnieszka Wylomanska, Diego Krapf

Comput. Stat. Data Anal., 2018

2016

Impulsive Noise Cancellation Method for Copper Ore Crusher Vibration Signals Enhancement.

Agnieszka Wylomanska, Radoslaw Zimroz, Joanna Janczura, Jakub Obuchowski

IEEE Trans. Ind. Electron., 2016

Local damage detection methods based on the stochastic modeling techniques.

Grzegorz Zak, Agnieszka Wylomanska, Radoslaw Zimroz

Proceedings of the 24th Mediterranean Conference on Control and Automation, 2016

2009

Stochastic models for bidding strategies on oligopoly electricity market.

Magdalena Borgosz-Koczwara, Aleksander Weron, Agnieszka Wylomanska

Math. Methods Oper. Res., 2009