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2020 – today
- 2026
[j20]Jinxia Zhang, Yin Yuan, Xuwen Zhu, Yang Hu, Kaihua Zhang
:
Partitioned observation network for camouflaged object detection. Pattern Recognit. 172: 112637 (2026)- 2025
- [j19]Tong Ma, Xuwen Zhu:
Closed-form adaptive tracking control of heat equations aided by Fourier regularization and bi-orthogonal series. Autom. 177: 112335 (2025) - [c1]Tong Ma, Xuwen Zhu:
Closed-Form Adaptive Tracking Control of Heat Equations Aided by Fourier Regularization and Bi-orthogonal Series. ACC 2025: 4429-4434 - 2024
- [j18]Xuwen Zhu, Yana Melnykov, Angelina S. Kolomoytseva:
Contamination transformation matrix mixture modeling for skewed data groups with heavy tails and scatter. Adv. Data Anal. Classif. 18(1): 85-101 (2024) - [j17]Abdullah Asilkalkan, Xuwen Zhu, Shuchismita Sarkar:
Finite mixture of hidden Markov models for tensor-variate time series data. Adv. Data Anal. Classif. 18(3): 545-562 (2024) - [j16]Yingying Zhang, Shuchismita Sarkar, Yuanyuan Chen, Xuwen Zhu:
On regime changes in text data using hidden Markov model of contaminated vMF distribution. Data Min. Knowl. Discov. 38(6): 3563-3589 (2024) - [j15]Michael P. B. Gallaugher, Xuwen Zhu:
Modeling matrix variate time series via hidden Markov models with skewed emissions. Stat. Anal. Data Min. 17(1) (2024) - 2022
- [j14]Xuwen Zhu, Yana Melnykov:
On Finite Mixture Modeling of Change-point Processes. J. Classif. 39(1): 3-22 (2022) - [j13]Xuwen Zhu, Yana Melnykov:
Erratum to: On Finite Mixture Modeling of Change-Point Processes. J. Classif. 39(1): 23 (2022) - [j12]Xuwen Zhu, Shuchismita Sarkar, Volodymyr Melnykov:
MatTransMix: an R Package for Matrix Model-Based Clustering and Parsimonious Mixture Modeling. J. Classif. 39(1): 147-170 (2022) - [j11]Shuchismita Sarkar, Xuwen Zhu:
Multiple change point clustering of count processes with application to California COVID data. Pattern Recognit. Lett. 157: 83-89 (2022) - 2021
- [j10]Yana Melnykov, Xuwen Zhu, Volodymyr Melnykov:
Transformation mixture modeling for skewed data groups with heavy tails and scatter. Comput. Stat. 36(1): 61-78 (2021) - [j9]Yingying Zhang, Volodymyr Melnykov, Xuwen Zhu:
Model-based clustering of time-dependent categorical sequences with application to the analysis of major life event patterns. Stat. Anal. Data Min. 14(3): 230-240 (2021) - 2020
- [j8]Shuchismita Sarkar, Xuwen Zhu, Volodymyr Melnykov, Salvatore Ingrassia:
On parsimonious models for modeling matrix data. Comput. Stat. Data Anal. 142 (2020)
2010 – 2019
- 2019
- [j7]Volodymyr Melnykov, Xuwen Zhu:
Studying crime trends in the USA over the years 2000-2012. Adv. Data Anal. Classif. 13(1): 325-341 (2019) - [j6]Volodymyr Melnykov, Xuwen Zhu:
An extension of the K-means algorithm to clustering skewed data. Comput. Stat. 34(1): 373-394 (2019) - [j5]Xuwen Zhu:
Probability of misclassification in model-based clustering. Comput. Stat. 34(3): 1427-1442 (2019) - 2018
- [j4]Xuwen Zhu, Volodymyr Melnykov:
Manly transformation in finite mixture modeling. Comput. Stat. Data Anal. 121: 190-208 (2018) - [j3]Volodymyr Melnykov, Xuwen Zhu:
On model-based clustering of skewed matrix data. J. Multivar. Anal. 167: 181-194 (2018) - 2017
- [j2]Xuwen Zhu, Volodymyr Melnykov:
ManlyMix: An R Package for Manly Mixture Modeling. R J. 9(2): 176 (2017) - 2015
- [j1]Xuwen Zhu, Volodymyr Melnykov:
Probabilistic assessment of model-based clustering. Adv. Data Anal. Classif. 9(4): 395-422 (2015)
Coauthor Index
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