Prof. Theodore B. Trafalis
The University of Oklahoma, USA
Email: ttrafalis@ou.edu
Qualifications
1989 Ph.D., Purdue University, USA
1984 M.Sc., Purdue University, USA
1982 B.Sc., University of Athens, Greece
Publications (selected)
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Trafalis,
T.B., O.O. Oladunni and M. Richman, “Linear Classification Tikhonov
Regularization Knowledge-based Support Vector Machine for Tornado Forecasting,”
submitted to Computational Management Science, in press, 2010.
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Adrianto,I.and
T.B. Trafalis, “The p-center Machine for Regression analysis”, Optimization
Methods and Software, accepted, 2009.
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Gilbert
R. C., T.B. Trafalis, M. B. Richman and S. Lakshmivarahan, “Real-time
Prediction Using Kernel Methods and Data Assimilation”, series in Intelligent
Engineering Systems Through Artificial Neural Networks, Computational
Intelligence in Architecturing Complex Engineering Systems, pp. 35-42.ASME
Press, New York, NY, USA, 2009.
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Oladunni,
O.O. and T.B. Trafalis, “A regularized Pairwise Multi-classification Knowledge-based
Machine and Applications”, European Journal of Operational Research,
195(3):924-941, 2009.
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Trafalis,
T.B. and S. Kasap, “Neural Networks for Combinatorial Optimization”, in
Encyclopedia of Optimization, (C.A. Floudas and P.M. Pardalos, editors), second
edition, pp. 2547-2555, Springer, New York, NY, USA, 2009.
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Gilbert,
R.C., S. Raman, T.B. Trafalis, S.M. Obeidat, and J.A. Aguirre-Cruz,
“Mathematical Foundations for Form Inspection and Adaptive Sampling”, Journal
of Manufacturing Science and Engineering, 2009. Accepted, in press.
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Adrianto,
I, T.B. Trafalis and M.B. Richman, “Active Learning with Kernel Machines for
Tornado Detection”, in Intelligent Engineering Systems Through Artificial
Neural Networks, 8:131-137,New York,NY,USA, 2008, ASME Press.
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Maalouf,
M. and T.B. Trafalis, “Kernel Logistic Regression using Truncated Newton
Method”, in Intelligent Engineering Systems Through Artificial Neural Networks,
(C.H. Dagli, D.L. Enke, K.M. Bryden, Y. Ceylan and M. Gen, editors),
18:455-462, New York, NY, USA, ASME Press, 2008.
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Trafalis,
T.B. and R.C. Gilbert, “Nonlinear Programming”, in Operations Research and
Management Science Handbook, (A.R. Ravindran, editor), CRC pp. 2-1 to 2-22,
2008.
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Mansouri,
H., M.B. Richman, T.B. Trafalis, and L.M. Leslie, “ Pipeline Support Vector
Regression Method to Thin large Ocean Surface Wind Data On-line”, in
Intelligent Engineering Systems Through Artificial Neural Networks, (C.H.
Dagli, D.L. Enke, K.M. Bryden, H. Ceylan, and M. Gen, editors), 18:203-210, New
York, NY,USA, 2008, ASME Press.
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Richman,
M.B., T.B. Trafalis and I. Adrianto, “Missing Data Imputation through Machine
Learning Algorithms”, in Artificial Intelligence Methods in the Environmental
Sciences, (S.E. Haupt, A. Pasini and C. Marzban, editors), pp 153-169,
Springer, London, UK, 2008.
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Oladunni,
O.O. and T.B. Trafalis, “A Nonlinear Multi-classification Knowledge-based
Kernel Machine”, Computational Management Science, 2008. Available
online.
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Kundakcioglu,
O.E., M. Sanguineti and T.B. Trafalis, Guest editorial, Computational
Management Science, 2008. Available online.
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Maalouf,
M., N. Khoury and T.B. Trafalis, “Support Vector Regression to Predict Asphalt
Mix Performance”, International Journal for Numerical and Analytical Methods in
Geomechanics, 32(16):1989-1996, 2008.
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Balakrishna,
P., S. Raman, T.B. Trafalis and B. Santosa, “Support Vector Regression for
Determining the Minimum Zone Sphericity”, International Journal of Advanced
Manufacturing Technology, 35(9-10):916-923, 2008.
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Alenezi,
A., S.A. Moses, and T.B. Trafalis, “Real-time Prediction of Order Flowtimes
using Support Vector Regression, Computers and Operations Research,
35(11):3489-3503, 2008.
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Papadakis,
P., I. Pratikakis, T.B. Trafalis, T. Theoharis andS. Perantonis, “Relevance
Feedback in Content-based 3D Object Retrieval – A Comparative Study,” Computer
Aided Design and Applications (CAD&A), 5(5):753-763, 2008.
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Oladunni,
O.O. and T.B. Trafalis, “A Regularized Pairwise Multi-classification
Knowledge-based Machine and Applications,” European Journal of Operational
Research, pp. 643-689, 2008.
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Adrianto,
I., Trafalis, T. B., & Lakshmanan, V., “Support vector machines for
spatiotemporal tornado prediction”, International Journal of General Systems,
Volume 38, Issue 7, Pages 759 – 776, 2009.
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Trafalis,
T. B. and R. C. Gilbert. “Nonlinear Programming,” in Operations Research and
Management Science Handbook, A. R. Ravindran, editor, CRC pp. 2-1 to 2-22,
2008.
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Ince,
H. and T.B. Trafalis, “Short term Forecasting with Support Vector Machines and
Application to Stock Price prediction”, International Journal of General
Systems, 37(6):677-687, 2008.
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Trafalis,
T.B. and R. C. Gilbert, “Robust Support Vector Machines for Classification and
Computational Issues”, Optimization Methods and Software, 22(1):187-198, 2007.
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Trafalis,
T.B. and O.O. Oladunni, “Support Vector Machines and Applications,” invited
book chapter in Data Mining of Enterprise Data, Springer, T. Warren Liao and E.
Triantaphyllou, eds., World Scientific, 14:643-690, 2007.
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Oladunni,
O.O. and T.B. Trafalis, “Regularized Knowledge-based Kernel Machine,” ICCS
2007, Lecture notes in Computer Science, (Y. Shi et al., eds.), Part I, LNCS
4487, Springer-Verlag Berlin Heidelberg, pp.176-183, 2007.
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Santosa,
B. and T.B. Trafalis, “Robust Multiclass Kernel-based Classifiers”,
Computational Optimization, 38(2):261-280. 2007.