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Agnieszka Wylomanska
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2020 – today
- 2025
- [j22]Hubert Woszczek, Aleksei Chechkin, Agnieszka Wylomanska:
Scaled Brownian motion with random anomalous diffusion exponent. Commun. Nonlinear Sci. Numer. Simul. 140: 108388 (2025) - [j21]Daniel Kuzio, Radoslaw Zimroz, Agnieszka Wylomanska:
A modified gamma process for RUL prediction based on data with time-varying heavy-tailed distribution. Inf. Sci. 690: 121603 (2025) - 2024
- [j20]Dominik Dulas
, Justyna Witulska
Data-Driven Model for Sliced 5G Network Dimensioning and Planning, Featured With Forecast and "what-if" Analysis. IEEE Access 12: 50067-50082 (2024) - [j19]Wojciech Zulawinski
Alternative dependency measures-based approach for estimation of the α-stable periodic autoregressive model. Commun. Stat. Simul. Comput. 53(3): 1188-1215 (2024) - [j18]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): 71 (2024) - [j17]Katarzyna Skowronek
Modified Greenwood statistic and its application for statistical testing. J. Comput. Appl. Math. 452: 116122 (2024) - [j16]Mateusz Gabor
Bearing Damage Detection With Orthogonal and Nonnegative Low-Rank Feature Extraction. IEEE Trans. Ind. Informatics 20(2): 2944-2955 (2024) - [c4]Wojciech Zulawinski, Agnieszka Wylomanska:
Errors-in-Variables-Based Methodology of Estimation and Testing for Infinite-Variance Periodic Autoregressive Models with Additive Noise. EUSIPCO 2024: 1087-1091 - 2023
- [j15]Dawid Szarek
Non-Gaussian feature distribution forecasting based on ConvLSTM neural network and its application to robust machine condition prognosis. Expert Syst. Appl. 230: 120588 (2023) - [j14]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: 115051 (2023) - [j13]Wojciech Zulawinski
Identification and validation of periodic autoregressive model with additive noise: finite-variance case. J. Comput. Appl. Math. 427: 115131 (2023) - [c3]Wojciech Zulawinski, Agnieszka Wylomanska
Yule-Walker-Based Approaches for Estimation of Noise-Corrupted Periodic Autoregressive Model - Finite- and Infinite-Variance Cases. EUSIPCO 2023: 1978-1982 - [c2]Mateusz Gabor, Rafal Zdunek, Radoslaw Zimroz, Agnieszka Wylomanska
Non-Negative Matrix Underapproximation as Optimal Frequency Band Selector. IECON 2023: 1-6 - 2022
- [j12]Dawid Szarek
Statistical test for anomalous diffusion based on empirical anomaly measure for Gaussian processes. Comput. Stat. Data Anal. 168: 107401 (2022) - [j11]Aleksandra Grzesiek, Marek Teuerle
Cross-codifference for bidimensional VAR(1) time series with infinite variance. Commun. Stat. Simul. Comput. 51(3): 1355-1380 (2022) - 2021
- [j10]Anna Michalak
Model of the Vibration Signal of the Vibrating Sieving Screen Suspension for Condition Monitoring Purposes. Sensors 21(1): 213 (2021) - [j9]Aleksandra Grzesiek, Karolina Gasior
Divergence-Based Segmentation Algorithm for Heavy-Tailed Acoustic Signals with Time-Varying Characteristics. Sensors 21(24): 8487 (2021) - 2020
- [j8]Dawid Szarek
Fractional Dynamics Identification via Intelligent Unpacking of the Sample Autocovariance Function by Neural Networks. Entropy 22(11): 1322 (2020) - [j7]Karolina Gasior, Hanna Urbanska, Aleksandra Grzesiek, Radoslaw Zimroz
Identification, Decomposition and Segmentation of Impulsive Vibration Signals with Deterministic Components - A Sieving Screen Case Study. Sensors 20(19): 5648 (2020) - [j6]Jakub Nowicki, Justyna Hebda-Sobkowicz
Local Defect Detection in Bearings in the Presence of Heavy-Tailed Noise and Spectral Overlapping of Informative and Non-Informative Impulses. Sensors 20(22): 6444 (2020) - [j5]Piotr Kruczek, Radoslaw Zimroz
How to detect the cyclostationarity in heavy-tailed distributed signals. Signal Process. 172: 107514 (2020)
2010 – 2019
- 2019
- [j4]Justyna Hebda-Sobkowicz
Identification and Statistical Analysis of Impulse-Like Patterns of Carbon Monoxide Variation in Deep Underground Mines Associated with the Blasting Procedure. Sensors 19(12): 2757 (2019) - 2018
- [j3]Grzegorz Sikora, Agnieszka Wylomanska
Recurrence statistics for anomalous diffusion regime change detection. Comput. Stat. Data Anal. 128: 380-394 (2018) - 2016
- [j2]Agnieszka Wylomanska
Impulsive Noise Cancellation Method for Copper Ore Crusher Vibration Signals Enhancement. IEEE Trans. Ind. Electron. 63(9): 5612-5621 (2016) - [c1]Grzegorz Zak, Agnieszka Wylomanska
Local damage detection methods based on the stochastic modeling techniques. MED 2016: 355-360
2000 – 2009
- 2009
- [j1]Magdalena Borgosz-Koczwara
Stochastic models for bidding strategies on oligopoly electricity market. Math. Methods Oper. Res. 69(3): 579-592 (2009)
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