| Linear discriminant analysis P Xanthopoulos, PM Pardalos, TB Trafalis Robust Data Mining, 27-33, 2013 | 525 | 2013 |
| Support vector machine for regression and applications to financial forecasting TB Trafalis, H Ince ijcnn, 6348, 2000 | 490 | 2000 |
| A hybrid model for exchange rate prediction H Ince, TB Trafalis Decision Support Systems 42 (2), 1054-1062, 2006 | 207 | 2006 |
| (2006). A hybrid model for exchange rate prediction H Ince, T Trafalis Decision Support Systems 42 (2), 1054-1062, 0 | 207* | |
| Robust data mining P Xanthopoulos, PM Pardalos, TB Trafalis Springer Science & Business Media, 2012 | 192 | 2012 |
| Robust classification and regression using support vector machines TB Trafalis, RC Gilbert European Journal of Operational Research 173 (3), 893-909, 2006 | 170 | 2006 |
| Robust weighted kernel logistic regression in imbalanced and rare events data M Maalouf, TB Trafalis Computational Statistics & Data Analysis 55 (1), 168-183, 2011 | 169 | 2011 |
| Short term forecasting with support vector machines and application to stock price prediction H Ince, TB Trafalis International Journal of General Systems 37 (6), 677-687, 2008 | 148 | 2008 |
| Kernel principal component analysis and support vector machines for stock price prediction H Ince, TB Trafalis IIE Transactions 39 (6), 629-637, 2007 | 126 | 2007 |
| Two-phase flow regime identification with a multiclassification support vector machine (SVM) model TB Trafalis, O Oladunni, DV Papavassiliou Industrial & engineering chemistry research 44 (12), 4414-4426, 2005 | 109 | 2005 |
| Robust support vector machines for classification and computational issues TB Trafalis, RC Gilbert Optimisation Methods and Software 22 (1), 187-198, 2007 | 104 | 2007 |
| Real-time prediction of order flowtimes using support vector regression A Alenezi, SA Moses, TB Trafalis Computers & Operations Research 35 (11), 3489-3503, 2008 | 86 | 2008 |
| Missing data imputation through machine learning algorithms MB Richman, TB Trafalis, I Adrianto Artificial Intelligence Methods in the Environmental Sciences, 153-169, 2009 | 75 | 2009 |
| Learning from student data K Barker, T Trafalis, TR Rhoads Systems and Information Engineering Design Symposium, 2004. Proceedings of …, 2004 | 66 | 2004 |
| Data mining techniques for improved WSR-88D rainfall estimation TB Trafalis, MB Richman, A White, B Santosa Computers & industrial engineering 43 (4), 775-786, 2002 | 56 | 2002 |
| Rare events and imbalanced datasets: an overview M Maalouf, TB Trafalis International Journal of Data Mining, Modelling and Management 3 (4), 375-388, 2011 | 51 | 2011 |
| Support vector regression for determination of minimum zone C Prakasvudhisarn, TB Trafalis, S Raman Journal of manufacturing science and engineering 125 (4), 736-739, 2003 | 51 | 2003 |
| A novel metaheuristics approach for continuous global optimization TB Trafalis, S Kasap Journal of Global Optimization 23 (2), 171-190, 2002 | 48 | 2002 |
| Tornado detection with support vector machines TB Trafalis, H Ince, MB Richman Computational Science—ICCS 2003, 289-298, 2003 | 47 | 2003 |
| An analytic center machine TB Trafalis, AM Malyscheff Machine Learning 46 (1-3), 203-223, 2002 | 46 | 2002 |
Michael RichmanProfessor of Meteorology, University of OklahomaVerified email at ou.edu
