Papers
Budi Santosa, Working with support vector regression: price prediction”, Optima, November 2005.
Poornima Balakrishna, Shivakumar Raman , Theodore B. Trafalis and Budi Santosa, “Support vector regression for determining the minimum zone sphericity” , The International Journal of Advanced Manufacturing Technology, 2006
Budi Santosa and Theodore B. Trafalis ,” Multiclass Procedure for Minimax Probability Machine”, International Journal of General Systems , submitted , 2006.
Theodore B. Trafalis, Budi Santosa, and Michael B. Richman , “Learning Networks for Tornado Detection”, International Journal of General Systems,vol 35 no 1:93-107, 2006 .
Theodore B. Trafalis, Budi Santosa, dan Michael B. Richman,”Feature Selection of Radar-Derived Attributes with Linear Programming Support Vector Machines and Branch and Bound Methods” Artificial Neural Network in Engineering Conference 2005, St Louis, MO,USA, November 2005.
Budi Santosa dan Theodore B. Trafalis, “Robust Multiclass Kernel-Based Classifiers”, Computational Optimization and Applications, International Journal, submitted, 2005.
T.B. Trafalis, B. Santosa, dan M.B. Richman, Feature Selection with Linear Programming Support Vector Machines and Applications to Tornado Prediction, WSEAS Transactions on Computers, Issue 8, Volume 4, August, 2005, pp 865-873.
Budi Santosa dan Theodore B. Trafalis, Robust Kernel-Based Regression , WSEAS Transactions on Systems, Issue 2, Volume 5, February 2006,pp 424-430
Budi Santosa , Tyrrell Conway, T.B. Trafalis,"A Hybrid Knowledge Based-Clustering Multi-Class SVM Approach for Genes Expression Analysis",2005, a book chapter, submitted for Biomedicine book.
Budi Santosa, Michael B. Richman and Theodore B. Trafalis,” Variable Selection And Prediction Of Rainfall From Wsr-88d Radar Using Support Vector Regression”, 6th Wseas Int. Conf. On Neural Networks, Lisbon, Portugal, June 16-18, 2005.Theodore
B. Trafalis, Budi Santosa, and Michael B. Richman
, “Feature Selection of Radar-Derived Attributes with Linear
Programming Support Vector Machines”, 9th WSEAS International
Conference on Computers, Athens, Greece, July 14-16 , 2005.
Theodore B. Trafalis, Budi Santosa, and Michael B.
Richman, "Learning networks in
rainfall estimation", Computational Management Science,
accepted, 2005.
Theodore B. Trafalis, Budi Santosa, and Michael B. Richman , “Learning Networks for Tornado Detection”, International Journal of General Systems, 2005, Submitted.
Theodore B. Trafalis, Budi Santosa, and Michael B. Richman , "Learning Networks for Tornado Forecasting: A Bayesian Perspective", Sixth International Conference on Data Mining, Text Mining and their Business Applications, 25 - 27 May 2005, Skiathos, Greece.
Richman, M.B., B. Santosa and T.B. Trafalis, “Feature selection of radar-derived tornado attributes with support vector machines”, Joint between Fourth Conference on Artificial Intelligence and the 21st International Conference on Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology, J5.1, American Meteorological Society, San Diego, CA., January 11, 2005.Theodore B. Trafalis, Budi Santosa, and Michael B. Richman, “Bayesian Neural Networks for Tornado Detection”, WSEAS Transaction on Systems, Issue 10, Volume 3, December 2004, pp 3211-3216
Budi Santosa and Theodore B. Trafalis,” Multiclass Procedure for Minimax Probability Machine”, Artificial Neural Network in Engineering Conference 2004, St Louis, MO, USA, November 2004.
Theodore B. Trafalis, Michael B. Richman and Budi Santosa, ”Dynamic Data Driven Support Vector Machines Applied To Tornado Detection”, Artificial Neural Network in Engineering Conference 2004, St Louis, MO, USA, November 2004.
Theodore B. Trafalis, Budi Santosa and Michael B. Richman, “ Tornado Detection with Kernel-Based Classifiers from WSR-D88 Radar”, F. Darema (ed.), Dynamic Data Driven Application Systems, Kluwer, forthcoming, 2004
Theodore B. Trafalis, Budi Santosa and Michael B. Richman, “Rule-Based Support Vector Machine Classifiers Applied to Tornado Prediction”, Computational Science-ICCS 2004, Lecture notes in Computer Science, Springer, 2004.
Theodore B. Trafalis, Budi Santosa and Michael B. Richman,"Tornado Detection with Kernel-Based Methods”, ANNIE Conference 2003, St Louis, MO, 2003.
Trafalis, T., Santosa, B., and Richman, M., “Prediction of Rainfall from WSR-88D Radar Using Kernel-Based Methods”, International Journal of Smart Engineering System Design, 2004.
Trafalis, T.B., M. Richman, A. White, and B. Santosa, "Data Mining Techniques for Improved WSR-88D Rainfall Estimation", Computers and Industrial Engineering,43:775-786, 2002.
Santosa, B., T.B. Trafalis, and T. Conway,"Knowledge-based Clustering and Applications of Multi-Class SVM for Genes Expression Analysis”, ASME Press, (2002). Book Published of Collection: C.H. Dagli, A.L. Buczak, J. Ghosh, M.J. Embrechts, O. Ersoy, and S.W. Kercel, Intelligent Engineering Systems Through Artificial Neural Networks, 12:391-395.
Trafalis, T.B., M. Richman, and B. Santosa,"Prediction of Rainfall from WSR-88D Radar Using Support Vector Regression", ASME Press, (2002). Book Published of Collection: C.H. Dagli, A.L. Buczak, J. Ghosh, M.J. Embrechts, O. Ersoy, and S.W. Kercel, Intelligent Engineering Systems Through Artificial Neural Networks, Vol. 12 (pp. 639-644). (Novel Smart Engineering System Design Award, The Best Paper)
Trafalis, T.B. and B. Santosa ,“Predicting Monthly Flour Prices through Neural Networks, RBFs and SVR”, Intelligent Engineering Systems Through Artificial Neural Networks, (C.H. Dagli, A.L. Buczak, J. Ghosh, M Embrechts, O.Ersoy and S. Kercel, eds.), ASME Press, 11:745-750, 2001.
Trafalis, T.B., A. White, B. Santosa and M. Richman,“Development of an Intelligent System for Improved WSR-88D Rainfall Estimation”,Intelligent Engineering Systems Through Artificial Neural Networks, (C.H. Dagli, A.L. Buczak, J. Ghosh, M Embrechts, O.Ersoy and S. Kercel, eds.), ASME Press, 11:703-708, 2001.
Practical Project
Corporate Plan Design (PDAM), Surabaya, Indonesia, 2006
Industrial Cluster Design for Metal and Factory Machines, Department of Industry of Indonesia, 2005-2006
Research Project
Pengembangan model nonlinear discriminant dengan pendekatan Mathematical Programming untuk kasus multi kelas
Pengembangan model machine learning dengan pendekatan optimasi dan heuristik untuk data mining
Real Time Mining of Integrated Weather Data ( School of Industrial Engineering, University of Oklahoma, USA) National Science Foundation, USA 2002- 2005
Weather Prediction based on WSR-88D Radar Output by Intelligence Systems and Kernel-based Methods (School of Industrial Engineering, University of Oklahoma, USA) National Science Foundation, USA 2000- 2002
Analysis of E. coli whole-genome gene expression profiles project, (Department of Microbiology, University of Oklahoma, USA ) National Science Foundation, USA 2001- 2002
TALK
Training on Prediction and forecasting techniques, Lab Optimization and Information
System, ITS, Surabaya, March 2006
Workshop and training on Soft Computing, Politeknik Elektronika Negeri Surabaya, November 2006
Tornado Detection with Kernel-Based Methods”, ANNIE Conference 2003, St Louis, MO, 2003.
Prediction of Rainfall from WSR-88D Radar Using Support Vector RegressionANNIE Conference 2002, St Louis, MO, 2002.
Predicting Monthly Flour Prices through Neural Networks, RBFs and SVR, ANNIE Conference 2003, St Louis, MO, 2001.
Knowledge-based Clustering and Applications of Multi-Class SVM for Genes Expression Analysis, ANNIE Conference 2003, St Louis, MO, 2002.