| Parallel multitask cross validation for support vector machine using GPU Q Li, R Salman, E Test, R Strack, V Kecman Journal of Parallel and Distributed Computing 73 (3), 293-302, 2013 | 66 | 2013 |
| Sphere support vector machines for large classification tasks R Strack, V Kecman, B Strack, Q Li Neurocomputing 101, 59-67, 2013 | 42 | 2013 |
| GPUSVM: a comprehensive CUDA based support vector machine package Q Li, R Salman, E Test, R Strack, V Kecman Open Computer Science 1 (4), 387-405, 2011 | 30 | 2011 |
| Geometric approach to support vector machines learning for large datasets R Strack | 12 | 2013 |
| Minimal norm support vector machines for large classification tasks R Strack, V Kecman 2012 11th International Conference on Machine Learning and Applications 1 …, 2012 | 6 | 2012 |
| Feature ranking for pattern recognition: A comparison of filter methods E Test, V Kecman, R Strack, Q Li, R Salman 2012 Proceedings of IEEE Southeastcon, 1-5, 2012 | 4 | 2012 |
| Big Data Mining by L2 SVMs-Geometrical Insights Help V Kecman, R Strack, L Zigic Seminar at CS Department, Virginia Commonwealth University, VCU, Richmond, VA, 2013 | 3 | 2013 |
| L2 support vector machines revisited-Novel direct learning algorithm and some geometric insights L Zigic, R Strack, V Kecman Proceedings of 19th International Conference on Soft Computing, 334-339, 2013 | 3 | 2013 |
Vojislav KecmanVCU, Virginia Commonwealth UniversityVerified email at vcu.edu
