Shengkun Xie
Orcid: 0000-0002-9533-2096
According to our database1,
Shengkun Xie
authored at least 35 papers
between 2007 and 2023.
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Bibliography
2023
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
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
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
Proceedings of the Pattern Recognition Applications and Methods, 2019
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2017
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
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
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
Proceedings of the International Conference on Computational Science, 2010
2009
Proceedings of the Artificial Neural Networks, 2009
2007
Proceedings of the Bio-Inspired Computing and Communication, 2007