Publications

Koknar-Tezel, S. and L. J. Latecki. Improving SVM Classification on Imbalanced Time Series Data Sets with Ghost Points. Knowledge and Information Systems, June 2010.
Ghost Point software in MatLab: GhostPoints.zip
Tezel, A., S. Koknar-Tezel, and G. McManus. A Goal Seek Macro for Sensitivity Analysis. Advances in Financial Education, Volume 4, Fall 2006.
Tezel, A., and S. Koknar-Tezel. On Using Volatility Bands. Technical Analysis of Stocks & Commodities, October 1997.

Koknar-Tezel, S. and L.J. Latecki. Improving SVM Classification on Imbalanced Data Sets in Distance Spaces. IEEE Int. Conf. on Data Mining (ICDM 2009), December 2009, Miami, Florida, USA. (Acceptance Rate (regular papers) = 9%).
Yang, X., S. K¨oknar-Tezel, and L.J. Latecki. Locally Constrained Diffusion Process on Locally Densified Distance Spaces with Applications to Shape Retrieval. Proceedings of the IEEE Conf. on Computer Vision and Pattern Recognition (CVPR 2009), June 2009, Miami, Florida, USA. (Acceptance Rate = 26.2%).
Latecki, L.J., Q. Wang, S. Koknar-Tezel, and V. Megalooikonomou. Optimal Subsequence Bijection. Proceedings of the 7th IEEE Int. Conf. on Data Mining (ICDM 2007), October 2007, Omaha, Nebraska, USA. (Acceptance Rate = 19%).
Latecki, L.J., S. Koknar-Tezel, Q. Wang, and V. Megalooikonomou. Sequence Matching Capable of Excluding Outliers. Workshop on Time Series Classification at ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD), August 2007, San Jose, CA, USA.
Tezel, A., and S. Koknar-Tezel. Z-System: A Technical System Beats the Buy-and-Hold Strategy. Eastern Finance Association Meeting, April 1997, Panama City, FL, USA.

Tezel, A., S. Koknar-Tezel, and G. McManus. A Goal Seek Macro for Sensitivity Analysis. 2004 Global Trends Conference of the Academy of Business Administration, December 2004, Jamaica.
Tezel, A., and S. Koknar-Tezel. A Spreadsheet Macro and a Two-Stage Residual Income Growth Model. Financial Management Association, Annual Meeting, October 2003, Denver CO, USA.