Agnieszka Wylomanska

40 papers C 1Journal 35Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Analysis of Clarke Vector Hodograph Shape for Diagnostics of Inter-Turn Fault in Stators of Induction Electric Motors. IEEE Trans. Ind. Electron. Jacek Wodecki, Anna Michalak, Justyna Hebda-Sobkowicz, Radoslaw Zimroz, Agnieszka Wylomanska, Marcin Wolkiewicz, Krzysztof Szabat, Sebastien Weisse, Jerome Valire
2026	J	`jnl`	Identifying the temporal distribution structure in multivariate data for time-series segmentation based on two-sample test. Inf. Fusion Justyna Witulska, Marta Hendler, Magdalena Kasprowicz, Marek Czosnyka, Ireneusz Jablonski, Agnieszka Wylomanska
2026	J	`jnl`	Statistical testing-based framework for differentiating anomalous diffusion models with constant and random parameters. J. Comput. Appl. Math. Katarzyna Maraj-Zygmat, Aleksandra Grzesiek, Diego Krapf, Agnieszka Wylomanska
2025	J	`jnl`	A modified gamma process for RUL prediction based on data with time-varying heavy-tailed distribution. Inf. Sci. Daniel Kuzio, Radoslaw Zimroz, Agnieszka Wylomanska
2025	J	`jnl`	Characterization of irregular cyclicities in heavy-tailed data. Signal Process. Antonio Napolitano, Agnieszka Wylomanska
2025	J	`jnl`	Conditional correlation estimation and serial dependence identification. J. Comput. Appl. Math. Kewin Paczek, Damian Jelito, Marcin Pitera, Agnieszka Wylomanska
2025	J	`jnl`	Critical challenges and advances in vibration signal processing for non-stationary condition monitoring. Adv. Eng. Informatics Anil Kumar, Agnieszka Wylomanska, Radoslaw Zimroz, Jiawei Xiang, Jérôme Antoni
2025	J	`jnl`	Empirical study of periodic autoregressive models with additive noise - estimation and testing. Commun. Stat. Simul. Comput. Wojciech Zulawinski, Agnieszka Wylomanska
2025	J	`jnl`	Fractional lower-order covariance-based measures for cyclostationary time series with heavy-tailed distributions: Application to dependence testing and model order identification. Digit. Signal Process. Wojciech Zulawinski, Agnieszka Wylomanska
2025	J	`jnl`	Gaussian dependence structure pairwise goodness-of-fit testing based on conditional covariance and the 20/60/20 rule. J. Multivar. Anal. Jakub Wozny, Piotr Jaworski, Damian Jelito, Marcin Pitera, Agnieszka Wylomanska
2025	J	`jnl`	Robust Suboptimal Local Basis Function Algorithms for Identification of Nonstationary FIR Systems in Impulsive Noise Environments. CoRR Maciej Niedzwiecki, Artur Gancza, Wojciech Zulawinski, Agnieszka Wylomanska
2025	J	`jnl`	Robust correlation measures for informative frequency band selection in heavy-tailed signals. Adv. Eng. Informatics Justyna Hebda-Sobkowicz, Radoslaw Zimroz, Anil Kumar, Agnieszka Wylomanska
2025	J	`jnl`	Scaled Brownian motion with random anomalous diffusion exponent. Commun. Nonlinear Sci. Numer. Simul. Hubert Woszczek, Aleksei Chechkin, Agnieszka Wylomanska
2025	J	`jnl`	Testing and estimation of the index of stability of univariate and bivariate symmetric α-stable distributions via modified Greenwood statistic. J. Comput. Appl. Math. Katarzyna Skowronek, Marek Arendarczyk, Anna K. Panorska, Tomasz J. Kozubowski, Agnieszka Wylomanska
2024	J	`jnl`	Alternative dependency measures-based approach for estimation of the α-stable periodic autoregressive model. Commun. Stat. Simul. Comput. Wojciech Zulawinski, Piotr Kruczek, Agnieszka Wylomanska
2024	J	`jnl`	Bearing Damage Detection With Orthogonal and Nonnegative Low-Rank Feature Extraction. IEEE Trans. Ind. Informatics Mateusz Gabor, Rafal Zdunek, Radoslaw Zimroz, Agnieszka Wylomanska
2024	J	`jnl`	Data-Driven Model for Sliced 5G Network Dimensioning and Planning, Featured With Forecast and "what-if" Analysis. IEEE Access Dominik Dulas, Justyna Witulska, Agnieszka Wylomanska, Ireneusz Jablonski, Krzysztof Walkowiak
2024	—	`conf`	Errors-in-Variables-Based Methodology of Estimation and Testing for Infinite-Variance Periodic Autoregressive Models with Additive Noise. EUSIPCO Wojciech Zulawinski, Agnieszka Wylomanska
2024	J	`jnl`	Modified Greenwood statistic and its application for statistical testing. J. Comput. Appl. Math. Katarzyna Skowronek, Marek Arendarczyk, Radoslaw Zimroz, Agnieszka Wylomanska
2024	J	`jnl`	Robust coherent and incoherent statistics for detection of hidden periodicity in models with non-Gaussian additive noise. EURASIP J. Adv. Signal Process. Wojciech Zulawinski, Jérôme Antoni, Radoslaw Zimroz, Agnieszka Wylomanska
2024	—	`conf`	Robust local basis function algorithms for identification of time-varying FIR systems in impulsive noise environments. CDC Maciej Niedzwiecki, Artur Gancza, Wojciech Zulawinski, Agnieszka Wylomanska
2024	J	`jnl`	The expectation-maximization algorithm for autoregressive models with normal inverse Gaussian innovations. Commun. Stat. Simul. Comput. Monika Singh Dhull, Arun Kumar, Agnieszka Wylomanska
2023	J	`jnl`	Forecasting of symmetric α-stable autoregressive models by time series approach supported by artificial neural networks. J. Comput. Appl. Math. Aastha M. Sathe, Neelesh S. Upadhye, Agnieszka Wylomanska
2023	J	`jnl`	Identification and validation of periodic autoregressive model with additive noise: finite-variance case. J. Comput. Appl. Math. Wojciech Zulawinski, Aleksandra Grzesiek, Radoslaw Zimroz, Agnieszka Wylomanska
2023	J	`jnl`	Non-Gaussian feature distribution forecasting based on ConvLSTM neural network and its application to robust machine condition prognosis. Expert Syst. Appl. Dawid Szarek, Ireneusz Jablonski, Radoslaw Zimroz, Agnieszka Wylomanska
2023	C	`conf`	Non-Negative Matrix Underapproximation as Optimal Frequency Band Selector. IECON Mateusz Gabor, Rafal Zdunek, Radoslaw Zimroz, Agnieszka Wylomanska
2023	—	`conf`	Yule-Walker-Based Approaches for Estimation of Noise-Corrupted Periodic Autoregressive Model - Finite- and Infinite-Variance Cases. EUSIPCO Wojciech Zulawinski, Agnieszka Wylomanska, Radoslaw Zimroz
2022	J	`jnl`	Cross-codifference for bidimensional VAR(1) time series with infinite variance. Commun. Stat. Simul. Comput. Aleksandra Grzesiek, Marek Teuerle, Agnieszka Wylomanska
2022	J	`jnl`	Statistical test for anomalous diffusion based on empirical anomaly measure for Gaussian processes. Comput. Stat. Data Anal. Dawid Szarek, Katarzyna Maraj-Zygmat, Grzegorz Sikora, Diego Krapf, Agnieszka Wylomanska
2021	J	`jnl`	Divergence-Based Segmentation Algorithm for Heavy-Tailed Acoustic Signals with Time-Varying Characteristics. Sensors Aleksandra Grzesiek, Karolina Gasior, Agnieszka Wylomanska, Radoslaw Zimroz
2021	J	`jnl`	Model of the Vibration Signal of the Vibrating Sieving Screen Suspension for Condition Monitoring Purposes. Sensors Anna Michalak, Jacek Wodecki, Michal Drozda, Agnieszka Wylomanska, Radoslaw Zimroz
2020	J	`jnl`	Fractional Dynamics Identification via Intelligent Unpacking of the Sample Autocovariance Function by Neural Networks. Entropy Dawid Szarek, Grzegorz Sikora, Michal Balcerek, Ireneusz Jablonski, Agnieszka Wylomanska
2020	J	`jnl`	How to detect the cyclostationarity in heavy-tailed distributed signals. Signal Process. Piotr Kruczek, Radoslaw Zimroz, Agnieszka Wylomanska
2020	J	`jnl`	Identification, Decomposition and Segmentation of Impulsive Vibration Signals with Deterministic Components - A Sieving Screen Case Study. Sensors Karolina Gasior, Hanna Urbanska, Aleksandra Grzesiek, Radoslaw Zimroz, Agnieszka Wylomanska
2020	J	`jnl`	Local Defect Detection in Bearings in the Presence of Heavy-Tailed Noise and Spectral Overlapping of Informative and Non-Informative Impulses. Sensors Jakub Nowicki, Justyna Hebda-Sobkowicz, Radoslaw Zimroz, Agnieszka Wylomanska
2019	J	`jnl`	Identification and Statistical Analysis of Impulse-Like Patterns of Carbon Monoxide Variation in Deep Underground Mines Associated with the Blasting Procedure. Sensors Justyna Hebda-Sobkowicz, Sebastian Gola, Radoslaw Zimroz, Agnieszka Wylomanska
2018	J	`jnl`	Recurrence statistics for anomalous diffusion regime change detection. Comput. Stat. Data Anal. Grzegorz Sikora, Agnieszka Wylomanska, Diego Krapf
2016	J	`jnl`	Impulsive Noise Cancellation Method for Copper Ore Crusher Vibration Signals Enhancement. IEEE Trans. Ind. Electron. Agnieszka Wylomanska, Radoslaw Zimroz, Joanna Janczura, Jakub Obuchowski
2016	—	`conf`	Local damage detection methods based on the stochastic modeling techniques. MED Grzegorz Zak, Agnieszka Wylomanska, Radoslaw Zimroz
2009	J	`jnl`	Stochastic models for bidding strategies on oligopoly electricity market. Math. Methods Oper. Res. Magdalena Borgosz-Koczwara, Aleksander Weron, Agnieszka Wylomanska