Selected Scholarly Research and Publications

Link to: Yu B., Han M., Liu L., Huang Y., Liang Y., and Bai L. (2018) LSTM Recurrent Neural Networks for Influenza Trends Prediction.  14th International Symposium on BioInformatics Research and Applications (ISBRA).  

Link to: Zhou Y., Han M., Liu L., He J., Xie Y., and Wang Y. (2018) Deep Learning Approach for Cyberattack Detection.  IEEE International Conference on Computer Communications.

Link to: Zhang, L., Priestley, J. and Ni, X. (2018) Influence of the Event Rate on Discrimination Abilities of Bankruptcy Prediction Models.  International Journal of Database Management Systems 10(1), 1-14.   DOI: 0.5121/ijdms.2018.10101

Link to: McGrath RJ, Priestley JL, Zhou Y, Culligan PJ. (2018) The Validity of Online Patient Ratings of Physicians: Analysis of Physician Peer Reviews and Patient Ratings. Interact J Med Res 2018;7(1):e8. DOI: 10.2196/ijmr.9350. PMID: 29631992.

Link to: Zhang, L., Priestley, J. and Ni, X. (2018) Comparison of Bankruptcy Prediction Models with Public Records and Firmographics.  Computer Science & Information Technology, 8(3), 97-109.

Xie, Y., Le, L. & Zhou, Y. (2017).  Dual Deep Learning Framework for Big and Unstructured Data.  US Patent Application Number 62562898

Link to: Gadidov, B. and Priestley, J.L. (2017) Does Yelp Matter? Analyzing (And Guide to Using) Ratings for a Quick Serve Restaurant Chain. Srinivasan S. (eds) Guide to Big Data Applications. Studies in Big Data, vol 26. Springer. DOI: 10.1007/978-3-319-53817-4

Link to: Zhang, L., Xie, Y. and Liu, G. (2017) A Sentiment-Change-Driven Event Discovery System. Proceedings of WI '17, Leipzig, Germany, August 23-26, 2017. DOI: 10.1145/3106426.3109038

 

Link to: Linh Le, Jie Hao, Ying Xie, Jennifer Priestley (2017), Deep Kernel: Learning the Kernel Function from Data Using Deep Neural Network, In Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (2017) 

Link to: Ying Xie, Chenna Pooja, Linh Le (2017), Visualization of High Dimensional Data in a Three Dimensional Space, In Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (2017) 

Link to: Rudd, J. (2017), Application of Support Vector Machine Modeling and Graph Theory Metrics for Disease Classification.  

Link to: Le, L., Hao, J., Xie, Y. and Priestley, J. (2016) Deep Kernel: Learning the Kernel Function from Data Using Deep Neural Network. Proceedings of the Third IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, Shanghai, China, December 06 - 09, 2016. DOI: 10.1145/3006299.3006312

Link to: Xie, Y., Pooja, C. and Le, L. (2016) Visualization of High Dimensional Data in a Three Dimensional Space. Proceedings of the Proceedings of the Third IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, Shanghai, China, December 06 - 09, 2016. 

Grey Literature publications on KSU Digital Commons

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