Research Publications

 

 

·         Publications

    1. Lee, Stephen. “Seeking Significant Genomic Words.”  International Journal of Computational Scienc, 2007 (in press)
    2. Shanyu Zheng, Jim Alves-Foss, Stephen Lee : The Effect of Rebalancing in the Performances of a Group Key Agrrement Protocol. Proceedings of the 2nd IEEE LCN Workshop on Network Security, Nov 14-17, 2006.
    3. Shanyu Zheng, Jim Alves-Foss, Stephen Lee : Exploring Average Performance of Group Key Management Algorithms Over Multiple Operations. Proceedings of the International Conference on Communications, Internet and Information Technology, October 31 - November 2, 2005.
    4. Shanyu Zheng, Jim Alves-Foss, Stephen Lee: Performance of Group Key Agreement Protocols Over Multiple Operations.  Proceedings of the International Conference on Parallel and Distributed Computing and Systems, November 14-16, 2005.
    5. Zhaofei Fan, Stephen Lee, Stephen R. Shifley, Frank R Thompson III, and David R. Larsen. “Simulating the effect of landscape size and age structure on cavity tree density using a resampling technique.” Forest Science, 2004.
    6. Lee, S. ``On improving the binary classification accuracy of quadratic discriminant.'' Journal of Statistical Computation and Simulation, 2001.
    7. Lee, S. ``Noisy replication in skewed binary classification.'' Computational Statistics & Data Analysis August, 2000.
    8. Lee, S. ``Regularization in skewed binary classification.'' Computational Statistics, 1999.
    9. Williams, C., Lee, S., Fisher, R., and Dickerman, L. `` A comparison of statistical methods for prenatal screening for Down syndrome.'' Applied Stochastic Models in Business and Industry, 1999.
    10. Lee, S. ``Regularized tree methods for skewed binary classification.'' Journal of Statistical Computation and Simulation, 1998.
    11. Lee, S. ``Regularized quadratic discriminant methods for skewed binary classification.'' Journal of Statistical Computation and Simulation, 1997
    12. Lee, S. ``Combining models to improve classification rates.'' Journal of Statistical Computation and Simulation, 1996.
    13. Lee, S. ``On a class of nonlinear time series for biological population abundance data.'' Applied Stochastic Models and Data Analysis, Vol 12, 193-207, 1996.
    14. Chenoweth, T., Obradovic, Z. and Lee, S. ``Embedding Technical Analysis into Neural Network Based Trading Systems.'' Applied Artificial Intelligence, vol 10, no. 3., 1996.

·         Other Publications

    1. Lee, S. ``Predicting the Growth Origin of Potatoes'' Statistical Consulting Center Technical Report, July, 2001.
    2. Lee, S. and Elder, J. ``Bundling Heterogeneous Classifiers using Advisor Perceptrons.'' Technical Report 97-01, ELDER RESEARCH, Charlottesville, VA , 1997
    3. Lee, S. (1997) ``Regularization in skewed binary classification.'' Proceedings of the American Statistical Association joint statistical meetings, 1997
    4. Lee, S. (1996) ``Combining neural and statistical classifiers via perceptron.'' Proceedings of the American Association for Artificial Intelligence-96, Portland, OR.
    5. Lee, S. (1995) ``Predicting atmospheric ozone using neural networks as compared to some statistical methods.'' Proceedings of the IEEE Technical Applications Conference, Nortcon, Portland, OR.
    6. Chenoweth, T., Obradovic, Z., and Lee, S. (1995) ``Technical trading rules as a prior knowledge to a neural networks prediction system for the S&P 500 index.'' Proceedings of the IEEE Technical Applications Conference, Nortcon, Portland, OR.
    7. Lee, S. (1992) ``A nonlinear auto-regressive time series model.'' Proceedings of the American Statistical Association joint statistical meetings, Business and Economics Section, pp.327-330, 1992

·         Presented Papers

    1. Computing Oligomer Expected Count through Set Partitions. Invited Seminar, Workshop on Special Topics in Bioinformatics. Salt Fork, Ohio,  Sep 20/21, 2007
    2. Modeling and predicting cavity tree density. Presented at 2005 American Statistical Association joint statistical meetings
    3. Regularization in skewed binary classification. Presented at 1997 American Statistical Association joint statistical meetings.
    4. Capabilities and limitations of artificial neural networks. Presented at the University of Idaho, 1997.
    5. Combining neural and statistical classifiers via preceptron. Presented at 1996 American Association for AI-1996 workshop.
    6. Regularization in skewed binary classification. Presented at the joint applied statistics seminar of the University of Idaho and Washington State University, 1996.
    7. Predicting atmospheric ozone using neural networks as compared to some statistical methods. Presented at 1995 IEEE Technical Application Conference.
    8. Evaluating the predictive performance of artificial neural networks and statistical models. Presented at the joint applied statistics seminar of the University of Idaho and Washington State University, 1995.
    9. On Box and Jenkins time series models. Presented at Washington State University, 1994.
    10. A nonlinear auto-regressive time series model. Presented at American Statistical Association 1992 Joint meetings.
    11. Estimation and testing of some nonlinear time series models. Presented at the Biometrics Society Spring meeting, March 1991.
    12. Stochastic models obtained from some difference equations. Presented at the American Statistical Florida Chapter Meeting, January 1991.

 

Two students' drawing of me:

 

 

A Sleepless Night, 1986


 


 

 

 

 

A Friend of Mathematics, 1986

 

 

 

Useful Links:

Go back to:
Stephen Lee Home Page