Wavelet-Domain Statistics of Packet Switching Networks Near Traffic Congestion. - Pietro Liò; Anna T. Lawniczak; Shengkun Xie; Jiaying Xu (BIOWIRE, 2007)

A Case Study of ICA with Multi-scale PCA of Simulated Traffic Data. - Shengkun Xie; Pietro Liò; Anna T. Lawniczak (ICANN (2), 2009)

Impact of source load and routing on QoS of packets delivery. - Anna T. Lawniczak; Shengkun Xie (J. Comput. Sci., 2010)

Number of packets in transit as a function of source load and routing. - Anna T. Lawniczak; Shengkun Xie (ICCS, 2010)

Detection of stationary network load increase using univariate network aggregate traffic data by dynamic PCA. - Shengkun Xie; Anna T. Lawniczak (CISDA, 2011)

Sparse approximation of long-term biomedical signals for classification via dynamic PCA. - Shengkun Xie; Feng Jin; Sridhar Krishnan 001 (EMBC, 2011)

Signal classification via multi-scale PCA and empirical classification methods. - Shengkun Xie; Sridhar Krishnan 001 (Int. J. Mechatronics Autom., 2011)

Sparse principal component extraction and classification of long-term biomedical signals. - Shengkun Xie; Sridhar Krishnan 001; Anna T. Lawniczak (CBMS, 2012)

Analysis of communication network surveillance using functional ANOVA model with unequal variances. - Shengkun Xie; Sridhar Krishnan 001; Anna T. Lawniczak (CISDA, 2012)

Learning sparse dictionary for long-term biomedical signal classification and clustering. - Shengkun Xie; Sridhar Krishnan 001 (ISSPA, 2012)

Signal feature extraction by multi-scale PCA and its application to respiratory sound classification. - Shengkun Xie; Feng Jin; Sridhar Krishnan 001; Farook Sattar (Medical Biol. Eng. Comput., 2012)

Time-Frequency Analysis via Ramanujan Sums. - Lakshmi Sugavaneswaran; Shengkun Xie; Karthikeyan Umapathy; Sridhar Krishnan 001 (IEEE Signal Process. Lett., 2012)

Noise Effects on Spatial Pattern Data Classification Using Wavelet Kernel PCA - A Monte Carlo Simulation Study. - Shengkun Xie; Anna T. Lawniczak; Sridhar Krishnan 001 (ISNN (1), 2013)

Wavelet-based sparse functional linear model with applications to EEGs seizure detection and epilepsy diagnosis. - Shengkun Xie; Sridhar Krishnan 001 (Medical Biol. Eng. Comput., 2013)

Learning Dictionary Via Wavelet Sparse Principal Component Analysis. - Shengkun Xie; Anna T. Lawniczak; Sridhar Krishnan 001 (ICPRAM (1), 2015)

Effects of Agents' Fear, Desire and Knowledge on Their Success When Crossing a CA Based Highway. - Anna T. Lawniczak; Leslie Ly; Shengkun Xie; Fei Yu 007 (ACRI, 2016)

Effects of model parameter interactions on Naïve creatures' success of learning to cross a highway. - Anna T. Lawniczak; Leslie Ly; Fei Yu 007; Shengkun Xie (CEC, 2016)

Spatially Constrained Clustering to Define Geographical Rating Territories. - Shengkun Xie; Anna T. Lawniczak; Zizhen Wang (ICPRAM, 2017)

Feature Extraction of Epileptic EEG using Wavelet Power Spectra and Functional PCA. - Shengkun Xie; Sridhar Krishnan 001 (EMBC, 2019)

Feature Extraction of Epileptic EEG in Spectral Domain via Functional Data Analysis. - Shengkun Xie; Anna T. Lawniczak (ICPRAM, 2019)

Fourier Spectral Domain Functional Principal Component Analysis of EEG Signals. - Shengkun Xie; Anna T. Lawniczak (ICPRAM (Revised Selected Papers), 2019)

Improving Data Explainability in Analysis of Designed Computer Simulation Experiments. - Shengkun Xie; Anna T. Lawniczak; Junlin Hao; Chong Gan (SSCI, 2019)

Modeling and Analysis of Autonomous Agents' Decisions in Learning to Cross a Cellular Automaton-Based Highway. - Shengkun Xie; Anna T. Lawniczak; Chong Gan (Comput., 2019)

Improving Statistical Reporting Data Explainability via Principal Component Analysis. - Shengkun Xie; Clare Chua-Chow (DATA, 2020)

Modelling Autonomous Agents' Decisions in Learning to Cross a Cellular Automaton-Based Highway via Artificial Neural Networks. - Shengkun Xie; Anna T. Lawniczak; Junlin Hao (Comput., 2020)

Estimating Territory Risk Relativity for Auto Insurance Rate Regulation using Generalized Linear Mixed Models. - Shengkun Xie; Chong Gan; Clare Chua-Chow (DATA, 2021)

Wavelet Power Spectral Domain Functional Principal Component Analysis for Feature Extraction of Epileptic EEGs. - Shengkun Xie (Comput., 2021)

Fuzzy Clustering and Non-negative Sparse Matrix Approximation on Estimating Territory Risk Relativities. - Shengkun Xie; Chong Gan (FUZZ-IEEE, 2022)

A Novel Variable Selection Approach Based on Multi-criteria Decision Analysis. - Shengkun Xie; Jin Zhang (IPMU (2), 2022)

Feature extraction of auto insurance size of loss data using functional principal component analysis. - Shengkun Xie (Expert Syst. Appl., 2022)

Optimal number of clusters in explainable data analysis of agent-based simulation experiments. - Shengkun Xie; Anna T. Lawniczak; Chong Gan (J. Comput. Sci., 2022)

Exploring Functional Patterns of Driving Records by Interacting with Major Classes and Territory Using Generalized Additive Models. - Shengkun Xie; Anna T. Lawniczak; Clare Chua-Chow (DATA, 2023)

Handling Data Imbalance In Linear Modelling of Fatality Rate of Auto Collision. - Shengkun Xie; Jin Zhang; Anna T. Lawniczak (ICISS, 2023)

Modelling auto insurance Size-of-Loss distributions using Exponentiated Weibull distribution and de-grouping methods. - Shengkun Xie (Expert Syst. Appl., 2023)

TOPSIS-based comprehensive measure of variable importance in predictive modelling. - Shengkun Xie; Jin Zhang (Expert Syst. Appl., 2023)

Spatial and Spatio-Temporal Modelling of Auto Insurance Claim Frequencies During Pre-and Post-COVID-19 Pandemic. - Jin Zhang; Shengkun Xie; Anna T. Lawniczak; Clare Chua-Chow (DATA, 2024)

A Novel K-Means Clustering under Bi-Partition of Feature Set. - Francis Kwaku Combert; Shengkun Xie; Anna T. Lawniczak (ICISS, 2024)