Papers

Budi Santosa, Seleksi variabel dengan Support vector machine untuk kasus multi kelas, National Conference On Computer Science & Information Technology VII, kampus UI Depok, 2007.

 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 seleksi variabel dengan metoda support vector machines untuk kasus multi kelas ( Hibah Penelitian Fundamental, Dikti) 2006

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.

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