Agnieszka Wylomanska

Orcid: 0000-0001-9750-1351

According to our database1, Agnieszka Wylomanska authored at least 39 papers between 2009 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
Statistical testing-based framework for differentiating anomalous diffusion models with constant and random parameters.
J. Comput. Appl. Math., 2026

Identifying the temporal distribution structure in multivariate data for time-series segmentation based on two-sample test.
Inf. Fusion, 2026

2025
Empirical study of periodic autoregressive models with additive noise - estimation and testing.
Commun. Stat. Simul. Comput., May, 2025

Robust Suboptimal Local Basis Function Algorithms for Identification of Nonstationary FIR Systems in Impulsive Noise Environments.
CoRR, March, 2025

Characterization of irregular cyclicities in heavy-tailed data.
Signal Process., 2025

Gaussian dependence structure pairwise goodness-of-fit testing based on conditional covariance and the 20/60/20 rule.
J. Multivar. Anal., 2025

Testing and estimation of the index of stability of univariate and bivariate symmetric α-stable distributions via modified Greenwood statistic.
J. Comput. Appl. Math., 2025

Conditional correlation estimation and serial dependence identification.
J. Comput. Appl. Math., 2025

A modified gamma process for RUL prediction based on data with time-varying heavy-tailed distribution.
Inf. Sci., 2025

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., 2025

Scaled Brownian motion with random anomalous diffusion exponent.
Commun. Nonlinear Sci. Numer. Simul., 2025

Critical challenges and advances in vibration signal processing for non-stationary condition monitoring.
Adv. Eng. Informatics, 2025

Robust correlation measures for informative frequency band selection in heavy-tailed signals.
Adv. Eng. Informatics, 2025

2024
Robust coherent and incoherent statistics for detection of hidden periodicity in models with non-Gaussian additive noise.
EURASIP J. Adv. Signal Process., December, 2024

The expectation-maximization algorithm for autoregressive models with normal inverse Gaussian innovations.
Commun. Stat. Simul. Comput., November, 2024

Alternative dependency measures-based approach for estimation of the α-stable periodic autoregressive model.
Commun. Stat. Simul. Comput., March, 2024

Bearing Damage Detection With Orthogonal and Nonnegative Low-Rank Feature Extraction.
IEEE Trans. Ind. Informatics, February, 2024

Modified Greenwood statistic and its application for statistical testing.
J. Comput. Appl. Math., 2024

Data-Driven Model for Sliced 5G Network Dimensioning and Planning, Featured With Forecast and "what-if" Analysis.
IEEE Access, 2024

Errors-in-Variables-Based Methodology of Estimation and Testing for Infinite-Variance Periodic Autoregressive Models with Additive Noise.
Proceedings of the 32nd European Signal Processing Conference, 2024

Robust local basis function algorithms for identification of time-varying FIR systems in impulsive noise environments.
Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023
Non-Gaussian feature distribution forecasting based on ConvLSTM neural network and its application to robust machine condition prognosis.
Expert Syst. Appl., November, 2023

Identification and validation of periodic autoregressive model with additive noise: finite-variance case.
J. Comput. Appl. Math., August, 2023

Forecasting of symmetric α-stable autoregressive models by time series approach supported by artificial neural networks.
J. Comput. Appl. Math., June, 2023

Non-Negative Matrix Underapproximation as Optimal Frequency Band Selector.
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.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
Cross-codifference for bidimensional VAR(1) time series with infinite variance.
Commun. Stat. Simul. Comput., 2022

Statistical test for anomalous diffusion based on empirical anomaly measure for Gaussian processes.
Comput. Stat. Data Anal., 2022

2021
Model of the Vibration Signal of the Vibrating Sieving Screen Suspension for Condition Monitoring Purposes.
Sensors, 2021

Divergence-Based Segmentation Algorithm for Heavy-Tailed Acoustic Signals with Time-Varying Characteristics.
Sensors, 2021

2020
How to detect the cyclostationarity in heavy-tailed distributed signals.
Signal Process., 2020

Local Defect Detection in Bearings in the Presence of Heavy-Tailed Noise and Spectral Overlapping of Informative and Non-Informative Impulses.
Sensors, 2020

Identification, Decomposition and Segmentation of Impulsive Vibration Signals with Deterministic Components - A Sieving Screen Case Study.
Sensors, 2020

Fractional Dynamics Identification via Intelligent Unpacking of the Sample Autocovariance Function by Neural Networks.
Entropy, 2020

2019
Identification and Statistical Analysis of Impulse-Like Patterns of Carbon Monoxide Variation in Deep Underground Mines Associated with the Blasting Procedure.
Sensors, 2019

2018
Recurrence statistics for anomalous diffusion regime change detection.
Comput. Stat. Data Anal., 2018

2016
Impulsive Noise Cancellation Method for Copper Ore Crusher Vibration Signals Enhancement.
IEEE Trans. Ind. Electron., 2016

Local damage detection methods based on the stochastic modeling techniques.
Proceedings of the 24th Mediterranean Conference on Control and Automation, 2016

2009
Stochastic models for bidding strategies on oligopoly electricity market.
Math. Methods Oper. Res., 2009


  Loading...