Xie S and Zhang J, Lawniczak, Anna T (2023) Handling Imbalanced Data in Linear Modelling of Fatality Rate of Auto Collision, The 6th International Conference on Information Science and Systems (ICISS 2023), Accepted.

Xie S and Chua-Chow C, Lawniczak, Anna T (2023) Exploring Functional Patterns of Driving Records by Interacting with Major Classes and Territory Using Generalized Additive Models. DATA 2023: 271-278.

Xie, S; Gan, C. (2022). Fuzzy Clustering and Non-negative Sparse Matrix Approximation on Estimating Territory Risk Relativities. Accepted. 2022 IEEE World Congress on Computational Intelligence, Padova, Italy.

S. Xie, C. Gan and C. Chua-Chow (2021). Estimating Territory Risk Relativity for Auto Insurance Rate Regulation using Generalized Linear Mixed Models. In Proceedings of the 10th International Conference on Data Science, Technology and Applications, ISBN 978-989-758-521-0, ISSN 2184-285X, pages 329-334.

S. Xie, and C. Chua-Chow (2020), Improving Statistical Reporting Data Explainability Via Principal Component Analysis, accepted, the 9th International Conference on Data Science, Technology and Applications (DATA). 

S. Xie, A.T. Lawniczak, J. Hao and C. Gan (2019), ImprovingData Explainability in Analysis of Designed Computer Simulation Experiments, 2019 IEEE Symposium Series on Computational Intelligence (SSCI), Pages: 1486-1493.

S. Xie, and S. Krishnan (2019), FeatureExtraction of Epileptic EEG using Wavelet Power Spectra and Functional PCA, In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 2551-2554. IEEE, 2019.  

S. Xie and A. T. Lawniczak (2019), Feature Extraction of EEG in Spectral Domain Via Functional Data Analysis, International Conference on Pattern Recognition Applications and Methods, Vol 1, 118-127, 2019.

S. Xie, Z. Wang, and A. T. Lawniczak (2017), Spatially Constrained Clustering to Define Geographical Rating Territories, Vol 1, International Conference on Pattern Recognition Applications and Methods(ICPRAM), Pages: 82-88, 2017.

A.T.Lawniczak, L.Ly, F.Yu and S.Xie (2016), Effects of Model Parameter Interactions on Naive Creatures Succes of Learning to Cross a Highway, IEEE CEC 2016: 693-702.

S. Xie,  A. T. Lawniczak and S. Krishnan (2015), Learning Dictionary via Wavelet Sparse Principal Component Analysis, International Conference on Pattern Recognition Applications and Methods, pages: 199-203.

S. Xie,  S. Krishnan and A. T. Lawniczak (2012), Analysis of Communication Network Surveillance Using Functional ANOVA Model with Unequal Variances, IEEE Symposium Series on Computational Intelligence for Security and Defense Applications, Page(s): 1 - 6.

S. Xie,  S. Krishnan and A. T. Lawniczak (2012), Sparse Principal Component Extraction and Classification of Long-term Biomedical Signals, The 25th IEEE International Symposium on Computer-Based Medical Systems, Page(s) 1 - 6.

S. Xie and S.  Krishnan (2012),  Learning Sparse Dictionary for Long-term Signal Classification and Clustering, The 11th International Conference on Information Sciences, Signal Processing and their Applications, pp. 1151-1156.

S. Xie, F. Jin, and S.  Krishnan (2011), Sparse Approximation of Long-term Biomedical Signals For Classification Via Dynamic PCA, in Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'11), Page(s): 7167 - 7170.

S. Xie and S. Krishnan (2011), Signal Decomposition by Multi-scale PCA and Its Applications to Long-term EEG Signal Classification, 2011 IEEE International Conference on Complex Medical Engineering, Page(s): 532 - 537.

S. Xie and A. T. Lawniczak (2011), Detection of Stationary Network Load Increase Using Univariate Network Aggregate Traffic Data by Dynamic PCA, IEEE Symposium Series on Computational Intelligence for Security and Defense Applications, Page(s): 123-130.

S. Xie, A.T. Lawniczak and P.  Lio` (2010) Feature Extraction Via Wavelet Kernel PCA for Data Classification, in Proceedings of 2010 IEEE International Workshop on Machine Learning for Signal Processing, Page(s):438 - 443.

S. Xie, A.T. Lawniczak, Y. Song and P.  Lio` (2010), Features Extraction via Dynamic PCA for Epilepsy Diagnosis and Epileptic Seizure Detection, in Proceedings of 2010 IEEE International Workshop on Machine Learning for Signal Processing, Page(s):337 - 342.

S. Xie, P.  Lio`, and A. T. Lawniczak (2009), A Comparative Study of Noise Effect on Wavelet-Based De-noising Methods, Proc. of the 2009 IEEE TIC-STH Symposium on Emerging Scientific Methods and Technologies, Toronto, ON, Canada, Page(s): 919 – 926.

S. Xie,  A. T. Lawniczak and P. Lio` (2008), Parametric & Non-parametric Analysis of Mean Treatment Effects of Number of Packets in Transit in Data Network Model, Symposium Communications and Networking, Proc. 21hIEEE CCECE 2008-CCGEI 2008 Niagara Falls, May 04-07, 2008, Page(s): 2021-2027.

A. T. Lawniczak and S. Xie(2008), Study of Number of Packets in Transit in a Data Network Model Near Onset of Congestion Using Functional Fixed Effect Models, Symposium Communications and Networking, Proc. 21hIEEE CCECE 2008CCGEI 2008 Niagara Falls, May 04-07, 2008, Page(s): 1779-1785.

A. T. Lawniczak, P. Lio`, S. Xieand J. Xu (2007), Study of Packet Traffic Fluctuations Near Phase Transition from Free Flow to Congestion in Data Network Model, Proc.  20thIEEE CCECE 2007-CCGEI 2007, Vancouver, BC, Canada, 22-26 April 2007, Page(s): 360-363. 

A. T. Lawniczak, P. Lio`, S. Xieand J. Xu (2007), Wavelet Spectral Analysis of Packet Traffic Near Phase Transition Point from Free Flow to Congestion in Data Network Model, Proc.  20thIEEE CCECE 2007-CCGEI 2007, Vancouver, BC, Canada, 22-26 April 2007, Page(s): 364-367.