Tom Johnsten, Ph.D.

Contact Information


Ph.D. - Computer Science
University of Louisiana at Lafayette (1998)

M.S. - Computer Science
Arizona State University (1998)

B.S. - Mathematics
Oklahoma State University (1987)


Link to CV


T. Johnsten, L. Fain, L. Fain, R. Benton, E. Butler, L. Pannell, and M, Tan, “Exploiting MultiLayered Vector Spaces for Signal Peptide Detection”, International Journal of Data Mining and Bioinformatics, accepted.

R. Singh, T. Johnsten, V.V. Raghavan, and Y. Xie. “Algorithms for Discovering Potentially Interesting Patterns,” Intl. Journal of Granular Computing, Rough Sets, and Intelligent Systems, Vol. 2, No. 2, pp. 107-122, 2011

T. Johnsten, S. Alihamad, A. Kannalath, and R. G. Benton, “Targeted Action Rule Discovery”, in International Conference on Machine Learning and Applications, Miami, Florida, 348-353, December 4-7, 2013.

R. G. Benton, S. Choubey, D. G. Clark, T. Johnsten, and V. V. Raghavan, “Diagnosis and Grading of Alzheimer’s Disease via Automatic Classification of FDG-PET Scans”, in International Conference on Brain and Health Informatics, Maebashi, Japan, October 29-31, 2013.

Y. Xie, J. Fisher, V.V. Raghavan, T. Johnsten, and C. Akkoc, “Granular Approach for Protein Sequence Analysis”, In Proceedings of 8th Int’l Conf. o