1. Reina Angkiriwang, I Nyoman Pujawan & Budi Santosa,Managing uncertainty through supply chain flexibility: reactive vs. proactive approaches, Production & Manufacturing Research Volume 2, Issue 1,
  2. Yuhefizar Yuhefizar, Budi Santosa, I Ketut Eddy P., Yoyon K. Suprapto. Combination of Hierarchical and Non-Hierarchical Cluster Method for Segmentation of Web Visitors. Telkomnika. Volume 11, Nomor 1, 2013
  3. Budi Santosa, Muhammad A. Budiman, Stefanus E. Wiratno,  A Cross Entropy-Genetic Algorithm for m-Machines No-Wait Job-Shop Scheduling Problem, Journal of Intelligent Learning Systems and Applications, August, 2011
  4. Budi santosa, Andiek Sunarto, Arief Rahman. Using Differential evolution method to solve crew rostering problem. Applied  Mathematics, Vol 1, No 4, 2010
  5. Budi Santosa and Nur Hardiansyah , Cross Entropy Method for Solving Generalized Orienteering Problem, iBusiness,, 2, 342-347, 2010
  6. Budi Santosa,  Application of the cross entropy method for support vector machine. Lecture Notes on Artificial Intelligent (LNAI) 5678, pp. 595–602, Springer-Verlag.2009
  7. Budi Santosa,  Mirsa Kencana Ningrum. Cat Swarm Optimization for Clustering. SOCPAR ’09 Proceedings of the 2009 International Conference of Soft Computing and Pattern Recognition . 2009
  8. Budi Santosa, Andiek Sunarto. Development of discriminat analysis using cross entropy. SOCPAR ’09 Proceedings of the 2009 International Conference of Soft Computing and Pattern Recognition . 2009
  9. Budi Santosa, Application of the Cross Entropy Method for Dual Lagrange Support Vector Machine, ADMA 2009, Beijing, (Lectures Notes in Artificial Intelligent, Springer 2009)
  10. Budi santosa, Cross Entropy Method For Multiclass Support Vector Machine, ICTS 2009, International Conference, 4 Agustus, Surabaya
  11. Budi Santosa, Seleksi Variabel Dengan Support Vector Machine Untuk Kasus Multi Kelas, National Conference On Computer Science & Information Technology VII, kampus UI Depok, 2007
  12.  Budi Santosa and Danusantoso, Determination of safety stocks using intelligent system bases forecasting techneque, Proceeding  The International Conference Management BINUS 2008 “Optimizing business research & information technology for leveraging corporate sustainable”, Indonesia, November’ 11, BINUS University,  P. 501-508
  13. 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 .
  14. 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.
  15. Budi Santosa dan Theodore B. Trafalis, Robust Kernel-Based Regression , WSEAS Transactions on Systems, Issue 2, Volume 5, February 2006,pp 424-430
  16. 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.
  17. 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.
  18. Budi Santosa, and  Theodore B. Trafalis Robust Multiclass Kernel Based Classifiers, Computational Optimization and Applications , Springer Netherlands , Nov , Vol 38, issue 2, 261-279.
  19. Budi Santosa, Tyrrell Conway, dan T.B. Trafalis, “A Hybrid Knowledge Based-Clustering Multi-Class SVM Approach for Genes Expression Analysis”,(P.M. Pardalos, V. Boginski and A. Vazacopoulos, eds.), a book chapter,  Data Mining in Biomedicine, Springer, 2007.
  20. Theodore B. Trafalis, Budi Santosa, dan Michael B. Richman, “Learning networks in rainfall estimation“, Computational Management Science,  2005.
  21. Theodore B. Trafalis, Budi Santosa,dan Michael B. Richman, “Bayesian Neural Networks for Tornado Detection”,WSEAS Transaction on Systems, Issue 10, Volume 3, December 2004, pp 3211-3216
  22. Theodore B. Trafalis, Budi Santosa dan Michael B. Richman, “Rule-Based Support Vector Machine Classifiers Applied to Tornado Prediction”, Computational Science-ICCS 2004, Lecture notes in Computer Science, Springer, 678-684, 2004.

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