Shengkun Xie

Orcid: 0000-0002-9533-2096

According to our database1, Shengkun Xie authored at least 36 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Spatial and Spatio-Temporal Modelling of Auto Insurance Claim Frequencies During Pre-and Post-COVID-19 Pandemic.
Proceedings of the 13th International Conference on Data Science, 2024

2023
TOPSIS-based comprehensive measure of variable importance in predictive modelling.
Expert Syst. Appl., December, 2023

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

Handling Data Imbalance In Linear Modelling of Fatality Rate of Auto Collision.
Proceedings of the 2023 6th International Conference on Information Science and Systems, 2023

Exploring Functional Patterns of Driving Records by Interacting with Major Classes and Territory Using Generalized Additive Models.
Proceedings of the 12th International Conference on Data Science, 2023

2022
Optimal number of clusters in explainable data analysis of agent-based simulation experiments.
J. Comput. Sci., 2022

Feature extraction of auto insurance size of loss data using functional principal component analysis.
Expert Syst. Appl., 2022

A Novel Variable Selection Approach Based on Multi-criteria Decision Analysis.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2022

Fuzzy Clustering and Non-negative Sparse Matrix Approximation on Estimating Territory Risk Relativities.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

2021
Wavelet Power Spectral Domain Functional Principal Component Analysis for Feature Extraction of Epileptic EEGs.
Comput., 2021

Estimating Territory Risk Relativity for Auto Insurance Rate Regulation using Generalized Linear Mixed Models.
Proceedings of the 10th International Conference on Data Science, 2021

2020
Modelling Autonomous Agents' Decisions in Learning to Cross a Cellular Automaton-Based Highway via Artificial Neural Networks.
Comput., 2020

Improving Statistical Reporting Data Explainability via Principal Component Analysis.
Proceedings of the 9th International Conference on Data Science, 2020

2019
Modeling and Analysis of Autonomous Agents' Decisions in Learning to Cross a Cellular Automaton-Based Highway.
Comput., 2019

Improving Data Explainability in Analysis of Designed Computer Simulation Experiments.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Fourier Spectral Domain Functional Principal Component Analysis of EEG Signals.
Proceedings of the Pattern Recognition Applications and Methods, 2019

Feature Extraction of Epileptic EEG in Spectral Domain via Functional Data Analysis.
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

Feature Extraction of Epileptic EEG using Wavelet Power Spectra and Functional PCA.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2017
Spatially Constrained Clustering to Define Geographical Rating Territories.
Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

2016
Effects of model parameter interactions on Naïve creatures' success of learning to cross a highway.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Effects of Agents' Fear, Desire and Knowledge on Their Success When Crossing a CA Based Highway.
Proceedings of the Cellular Automata, 2016

2015
Learning Dictionary Via Wavelet Sparse Principal Component Analysis.
Proceedings of the ICPRAM 2015, 2015

2013
Wavelet-based sparse functional linear model with applications to EEGs seizure detection and epilepsy diagnosis.
Medical Biol. Eng. Comput., 2013

Noise Effects on Spatial Pattern Data Classification Using Wavelet Kernel PCA - A Monte Carlo Simulation Study.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

2012
Time-Frequency Analysis via Ramanujan Sums.
IEEE Signal Process. Lett., 2012

Signal feature extraction by multi-scale PCA and its application to respiratory sound classification.
Medical Biol. Eng. Comput., 2012

Learning sparse dictionary for long-term biomedical signal classification and clustering.
Proceedings of the 11th International Conference on Information Science, 2012

Analysis of communication network surveillance using functional ANOVA model with unequal variances.
Proceedings of the 2012 IEEE Symposium on Computational Intelligence for Security and Defence Applications, 2012

Sparse principal component extraction and classification of long-term biomedical signals.
Proceedings of CBMS 2012, 2012

2011
Signal classification via multi-scale PCA and empirical classification methods.
Int. J. Mechatronics Autom., 2011

Sparse approximation of long-term biomedical signals for classification via dynamic PCA.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Detection of stationary network load increase using univariate network aggregate traffic data by dynamic PCA.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence for Security and Defense Applications, 2011

2010
Number of packets in transit as a function of source load and routing.
Proceedings of the International Conference on Computational Science, 2010

Impact of source load and routing on QoS of packets delivery.
J. Comput. Sci., 2010

2009
A Case Study of ICA with Multi-scale PCA of Simulated Traffic Data.
Proceedings of the Artificial Neural Networks, 2009

2007
Wavelet-Domain Statistics of Packet Switching Networks Near Traffic Congestion.
Proceedings of the Bio-Inspired Computing and Communication, 2007


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