Agnieszka Wylomanska

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 22

Top Topics

Autoregressive Model

Damage Detection

Top Venues

J. Comput. Appl. Math.

Commun. Stat. Simul. Comput.

Comput. Stat. Data Anal.

Publications

Wojciech Zulawinski, Jérôme Antoni, Radoslaw Zimroz, Agnieszka Wylomanska
Robust coherent and incoherent statistics for detection of hidden periodicity in models with non-Gaussian additive noise. EURASIP J. Adv. Signal Process. 2024 (1) (2024)
Mateusz Gabor, Rafal Zdunek, Radoslaw Zimroz, Agnieszka Wylomanska
Bearing Damage Detection With Orthogonal and Nonnegative Low-Rank Feature Extraction. IEEE Trans. Ind. Informatics 20 (2) (2024)
Wojciech Zulawinski, Piotr Kruczek, Agnieszka Wylomanska
Alternative dependency measures-based approach for estimation of the α-stable periodic autoregressive model. Commun. Stat. Simul. Comput. 53 (3) (2024)
Dominik Dulas, Justyna Witulska, Agnieszka Wylomanska, Ireneusz Jablonski, Krzysztof Walkowiak
Data-Driven Model for Sliced 5G Network Dimensioning and Planning, Featured With Forecast and "what-if" Analysis. IEEE Access 12 (2024)
Katarzyna Skowronek, Marek Arendarczyk, Radoslaw Zimroz, Agnieszka Wylomanska
Modified Greenwood statistic and its application for statistical testing. J. Comput. Appl. Math. 452 (2024)
Wojciech Zulawinski, Agnieszka Wylomanska, Radoslaw Zimroz
Yule-Walker-Based Approaches for Estimation of Noise-Corrupted Periodic Autoregressive Model - Finite- and Infinite-Variance Cases. EUSIPCO (2023)
Aastha M. Sathe, Neelesh S. Upadhye, Agnieszka Wylomanska
Forecasting of symmetric α-stable autoregressive models by time series approach supported by artificial neural networks. J. Comput. Appl. Math. 425 (2023)
Mateusz Gabor, Rafal Zdunek, Radoslaw Zimroz, Agnieszka Wylomanska
Non-Negative Matrix Underapproximation as Optimal Frequency Band Selector. IECON (2023)
Wojciech Zulawinski, Aleksandra Grzesiek, Radoslaw Zimroz, Agnieszka Wylomanska
Identification and validation of periodic autoregressive model with additive noise: finite-variance case. J. Comput. Appl. Math. 427 (2023)
Dawid Szarek, Ireneusz Jablonski, Radoslaw Zimroz, Agnieszka Wylomanska
Non-Gaussian feature distribution forecasting based on ConvLSTM neural network and its application to robust machine condition prognosis. Expert Syst. Appl. 230 (2023)
Dawid Szarek, Katarzyna Maraj-Zygmat, Grzegorz Sikora, Diego Krapf, Agnieszka Wylomanska
Statistical test for anomalous diffusion based on empirical anomaly measure for Gaussian processes. Comput. Stat. Data Anal. 168 (2022)
Aleksandra Grzesiek, Marek Teuerle, Agnieszka Wylomanska
Cross-codifference for bidimensional VAR(1) time series with infinite variance. Commun. Stat. Simul. Comput. 51 (3) (2022)
Aleksandra Grzesiek, Karolina Gasior, Agnieszka Wylomanska, Radoslaw Zimroz
Divergence-Based Segmentation Algorithm for Heavy-Tailed Acoustic Signals with Time-Varying Characteristics. Sensors 21 (24) (2021)
Anna Michalak, Jacek Wodecki, Michal Drozda, Agnieszka Wylomanska, Radoslaw Zimroz
Model of the Vibration Signal of the Vibrating Sieving Screen Suspension for Condition Monitoring Purposes. Sensors 21 (1) (2021)
Jakub Nowicki, Justyna Hebda-Sobkowicz, Radoslaw Zimroz, Agnieszka Wylomanska
Local Defect Detection in Bearings in the Presence of Heavy-Tailed Noise and Spectral Overlapping of Informative and Non-Informative Impulses. Sensors 20 (22) (2020)
Karolina Gasior, Hanna Urbanska, Aleksandra Grzesiek, Radoslaw Zimroz, Agnieszka Wylomanska
Identification, Decomposition and Segmentation of Impulsive Vibration Signals with Deterministic Components - A Sieving Screen Case Study. Sensors 20 (19) (2020)
Dawid Szarek, Grzegorz Sikora, Michal Balcerek, Ireneusz Jablonski, Agnieszka Wylomanska
Fractional Dynamics Identification via Intelligent Unpacking of the Sample Autocovariance Function by Neural Networks. Entropy 22 (11) (2020)
Piotr Kruczek, Radoslaw Zimroz, Agnieszka Wylomanska
How to detect the cyclostationarity in heavy-tailed distributed signals. Signal Process. 172 (2020)
Justyna Hebda-Sobkowicz, Sebastian Gola, Radoslaw Zimroz, Agnieszka Wylomanska
Identification and Statistical Analysis of Impulse-Like Patterns of Carbon Monoxide Variation in Deep Underground Mines Associated with the Blasting Procedure. Sensors 19 (12) (2019)
Grzegorz Sikora, Agnieszka Wylomanska, Diego Krapf
Recurrence statistics for anomalous diffusion regime change detection. Comput. Stat. Data Anal. 128 (2018)
Grzegorz Zak, Agnieszka Wylomanska, Radoslaw Zimroz
Local damage detection methods based on the stochastic modeling techniques. MED (2016)
Agnieszka Wylomanska, Radoslaw Zimroz, Joanna Janczura, Jakub Obuchowski
Impulsive Noise Cancellation Method for Copper Ore Crusher Vibration Signals Enhancement. IEEE Trans. Ind. Electron. 63 (9) (2016)
Magdalena Borgosz-Koczwara, Aleksander Weron, Agnieszka Wylomanska
Stochastic models for bidding strategies on oligopoly electricity market. Math. Methods Oper. Res. 69 (3) (2009)