Shengkun Xie

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 20

Top Topics

Principal Component Analysis

Spectral Domain

Autonomous Agents

Top Venues

Expert Syst. Appl.

Publications

Shengkun Xie, Jin Zhang
TOPSIS-based comprehensive measure of variable importance in predictive modelling. Expert Syst. Appl. 232 (2023)
Shengkun Xie, Jin Zhang, Anna T. Lawniczak
Handling Data Imbalance In Linear Modelling of Fatality Rate of Auto Collision. ICISS (2023)
Shengkun Xie, Anna T. Lawniczak, Clare Chua-Chow
Exploring Functional Patterns of Driving Records by Interacting with Major Classes and Territory Using Generalized Additive Models. DATA (2023)
Shengkun Xie
Modelling auto insurance Size-of-Loss distributions using Exponentiated Weibull distribution and de-grouping methods. Expert Syst. Appl. 231 (2023)
Shengkun Xie, Chong Gan
Fuzzy Clustering and Non-negative Sparse Matrix Approximation on Estimating Territory Risk Relativities. FUZZ-IEEE (2022)
Shengkun Xie, Anna T. Lawniczak, Chong Gan
Optimal number of clusters in explainable data analysis of agent-based simulation experiments. J. Comput. Sci. 62 (2022)
Shengkun Xie
Feature extraction of auto insurance size of loss data using functional principal component analysis. Expert Syst. Appl. 198 (2022)
Shengkun Xie, Jin Zhang
A Novel Variable Selection Approach Based on Multi-criteria Decision Analysis. IPMU (2) (2022)
Shengkun Xie, Chong Gan, Clare Chua-Chow
Estimating Territory Risk Relativity for Auto Insurance Rate Regulation using Generalized Linear Mixed Models. DATA (2021)
Shengkun Xie
Wavelet Power Spectral Domain Functional Principal Component Analysis for Feature Extraction of Epileptic EEGs. Comput. 9 (7) (2021)
Shengkun Xie, Clare Chua-Chow
Improving Statistical Reporting Data Explainability via Principal Component Analysis. DATA (2020)
Shengkun Xie, Anna T. Lawniczak, Junlin Hao
Modelling Autonomous Agents' Decisions in Learning to Cross a Cellular Automaton-Based Highway via Artificial Neural Networks. Comput. 8 (3) (2020)
Shengkun Xie, Anna T. Lawniczak, Chong Gan
Modeling and Analysis of Autonomous Agents' Decisions in Learning to Cross a Cellular Automaton-Based Highway. Comput. 7 (3) (2019)
Shengkun Xie, Anna T. Lawniczak
Feature Extraction of Epileptic EEG in Spectral Domain via Functional Data Analysis. ICPRAM (2019)
Shengkun Xie, Anna T. Lawniczak
Fourier Spectral Domain Functional Principal Component Analysis of EEG Signals. ICPRAM (Revised Selected Papers) (2019)
Shengkun Xie, Anna T. Lawniczak, Junlin Hao, Chong Gan
Improving Data Explainability in Analysis of Designed Computer Simulation Experiments. SSCI (2019)
Shengkun Xie, Sridhar Krishnan
Feature Extraction of Epileptic EEG using Wavelet Power Spectra and Functional PCA. EMBC (2019)
Shengkun Xie, Anna T. Lawniczak, Zizhen Wang
Spatially Constrained Clustering to Define Geographical Rating Territories. ICPRAM (2017)
Anna T. Lawniczak, Leslie Ly, Fei Yu, Shengkun Xie
Effects of model parameter interactions on Naïve creatures' success of learning to cross a highway. CEC (2016)
Anna T. Lawniczak, Leslie Ly, Shengkun Xie, Fei Yu
Effects of Agents' Fear, Desire and Knowledge on Their Success When Crossing a CA Based Highway. ACRI (2016)
Shengkun Xie, Anna T. Lawniczak, Sridhar Krishnan
Learning Dictionary Via Wavelet Sparse Principal Component Analysis. ICPRAM (1) (2015)
Shengkun Xie, Anna T. Lawniczak, Sridhar Krishnan
Noise Effects on Spatial Pattern Data Classification Using Wavelet Kernel PCA - A Monte Carlo Simulation Study. ISNN (1) (2013)
Shengkun Xie, Sridhar Krishnan
Wavelet-based sparse functional linear model with applications to EEGs seizure detection and epilepsy diagnosis. Medical Biol. Eng. Comput. 51 (1-2) (2013)
Lakshmi Sugavaneswaran, Shengkun Xie, Karthikeyan Umapathy, Sridhar Krishnan
Time-Frequency Analysis via Ramanujan Sums. IEEE Signal Process. Lett. 19 (6) (2012)
Shengkun Xie, Sridhar Krishnan, Anna T. Lawniczak
Sparse principal component extraction and classification of long-term biomedical signals. CBMS (2012)
Shengkun Xie, Feng Jin, Sridhar Krishnan, Farook Sattar
Signal feature extraction by multi-scale PCA and its application to respiratory sound classification. Medical Biol. Eng. Comput. 50 (7) (2012)
Shengkun Xie, Sridhar Krishnan
Learning sparse dictionary for long-term biomedical signal classification and clustering. ISSPA (2012)
Shengkun Xie, Sridhar Krishnan, Anna T. Lawniczak
Analysis of communication network surveillance using functional ANOVA model with unequal variances. CISDA (2012)
Shengkun Xie, Anna T. Lawniczak
Detection of stationary network load increase using univariate network aggregate traffic data by dynamic PCA. CISDA (2011)
Shengkun Xie, Sridhar Krishnan
Signal classification via multi-scale PCA and empirical classification methods. Int. J. Mechatronics Autom. 1 (3/4) (2011)
Shengkun Xie, Feng Jin, Sridhar Krishnan
Sparse approximation of long-term biomedical signals for classification via dynamic PCA. EMBC (2011)
Anna T. Lawniczak, Shengkun Xie
Impact of source load and routing on QoS of packets delivery. J. Comput. Sci. 1 (2) (2010)
Anna T. Lawniczak, Shengkun Xie
Number of packets in transit as a function of source load and routing. ICCS (1) (2010)
Shengkun Xie, Pietro Liò, Anna T. Lawniczak
A Case Study of ICA with Multi-scale PCA of Simulated Traffic Data. ICANN (2) (2009)
Pietro Liò, Anna T. Lawniczak, Shengkun Xie, Jiaying Xu
Wavelet-Domain Statistics of Packet Switching Networks Near Traffic Congestion. BIOWIRE (2007)