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| 2011 | ||
|---|---|---|
| 34 | Qi Li, Raied Salman, Erik Test, Robert Strack, Vojislav Kecman: GPUSVM: a comprehensive CUDA based support vector machine package. Central Europ. J. Computer Science 1(4): 387-405 (2011) | |
| 33 | Raied Salman, Vojislav Kecman, Qi Li, Robert Strack, Erik Test: Fast k-means algorithm clustering CoRR abs/1108.1351: (2011) | |
| 32 | Tao Yang, Vojislav Kecman, Longbing Cao, Chengqi Zhang, Joshua Zhexue Huang: Margin-based ensemble classifier for protein fold recognition. Expert Syst. Appl. 38(10): 12348-12355 (2011) | |
| 2010 | ||
| 31 | Johnny Wei-Hsun Kao, Stevan M. Berber, Vojislav Kecman: Adaptive Multi-Code Chaos-Based CDMA with Unequal Error Protection Using Reduced Support Vector Machine. GLOBECOM 2010: 1-5 | |
| 30 | Vojislav Kecman, Mirna Kikec: Erythemato-Squamous Diseases Diagnosis by Support Vector Machines and RBF NN. ICAISC (1) 2010: 613-620 | |
| 29 | Qi Li, Vojislav Kecman, Raied Salman: A Chunking Method for Euclidean Distance Matrix Calculation on Large Dataset Using Multi-GPU. ICMLA 2010: 208-213 | |
| 28 | Tao Yang, Vojislav Kecman, Longbing Cao, Chengqi Zhang: Testing Adaptive Local Hyperplane for multi-class classification by double cross-validation. IJCNN 2010: 1-5 | |
| 27 | Vojislav Kecman, J. Paul Brooks: Locally linear support vector machines and other local models. IJCNN 2010: 1-6 | |
| 26 | Tia Vance, Natasa Reljin, Aleksandar Lazarevic, Dragoljub Pokrajac, Vojislav Kecman, Noureddine Melikechi, Aristides Marcano, Yuri Markushin, Samantha McDaniel: Classification of LIBS protein spectra using support vector machines and adaptive local hyperplanes. IJCNN 2010: 1-7 | |
| 25 | Qi Li, Raied Salman, Vojislav Kecman: An intelligent system for accelerating parallel SVM classification problems on large datasets using GPU. ISDA 2010: 1131-1135 | |
| 24 | Tao Yang, Vojislav Kecman, Longbing Cao, Chengqi Zhang: Combining Support Vector Machines and the t-statistic for Gene Selection in DNA Microarray Data Analysis. PAKDD (2) 2010: 55-62 | |
| 23 | Srboljub M. Mijailovich, Xiaochuan Li, Juan C. del Álamo, R. Hugh Griffiths, Vojislav Kecman, Michael A. Geeves: Resolution and uniqueness of estimated parameters of a model of thin filament regulation in solution. Computational Biology and Chemistry 34(1): 19-33 (2010) | |
| 22 | Johnny Wei-Hsun Kao, Stevan M. Berber, Vojislav Kecman: Blind multiuser detector for chaos-based CDMA using support vector machine. IEEE Transactions on Neural Networks 21(8): 1221-1231 (2010) | |
| 21 | Tao Yang, Vojislav Kecman: Face recognition with adaptive local hyperplane algorithm. Pattern Anal. Appl. 13(1): 79-83 (2010) | |
| 2009 | ||
| 20 | Vojislav Kecman, Tao Yang: Protein fold recognition with adaptive local hyperplane algorithm. CIBCB 2009: 75-78 | |
| 19 | Vojislav Kecman, Tao Yang: Adaptive Local Hyperplane for regression tasks. IJCNN 2009: 1566-1570 | |
| 18 | Tao Yang, Vojislav Kecman: Adaptive local hyperplane algorithm for learning small medical data sets. Expert Systems 26(4): 355-359 (2009) | |
| 2008 | ||
| 17 | Guocai Chen, Jim Warren, Tao Yang, Vojislav Kecman: Adaptive K-Local Hyperplane (AKLH) Classifiers on Semantic Spaces to Determine Health Consumer Webpage Metadata. CBMS 2008: 287-289 | |
| 2007 | ||
| 16 | Steffen Leonhardt, Vojislav Kecman: Novel Features for Automated Lung Function Diagnosis in Spontaneously Breathing Infants. AIME 2007: 195-199 | |
| 2006 | ||
| 15 | Te Ming Huang, Vojislav Kecman, Ivica Kopriva: Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning. Springer 2006 | |
| 14 | Te Ming Huang, Vojislav Kecman: Semi-supervised learning from unbalanced labeled data: An improvement. KES Journal 10(1): 21-27 (2006) | |
| 2005 | ||
| 13 | Te Ming Huang, Vojislav Kecman: Gene Extraction for Cancer Diagnosis by Support Vector Machines. ICANN (1) 2005: 617-624 | |
| 12 | Te Ming Huang, Vojislav Kecman: Gene extraction for cancer diagnosis by support vector machines - An improvement. Artificial Intelligence in Medicine 35(1-2): 185-194 (2005) | |
| 2004 | ||
| 11 | Te Ming Huang, Vojislav Kecman: Bias Term b in SVMs Again. ESANN 2004: 441-448 | |
| 10 | Te Ming Huang, Vojislav Kecman: Semi-supervised Learning from Unbalanced Labeled Data - An Improvement. KES 2004: 802-808 | |
| 2003 | ||
| 9 | Vojislav Kecman, Michael Vogt, Te Ming Huang: On the equality of kernel AdaTron and sequential minimal optimization in classification and regression tasks and alike algorithms for kernel machines. ESANN 2003: 215-222 | |
| 8 | Jonathan Robinson, Vojislav Kecman: Combining support vector machine learning with the discrete cosine transform in image compression. IEEE Transactions on Neural Networks 14(4): 950-958 (2003) | |
| 2002 | ||
| 7 | Zhenquan Li, Vojislav Kecman, Akira Ichikawa: Fuzzified neural network based on fuzzy number operations. Fuzzy Sets and Systems 130(3): 291-304 (2002) | |
| 2001 | ||
| 6 | Vojislav Kecman, Tiru S. Arthanari: Comparisons of QP and LP Based Learning from Empirical Data. IEA/AIE 2001: 326-332 | |
| 5 | Zoran Vojinovic, Vojislav Kecman, Rainer Seidel: A data mining approach to financial time series modelling and forecasting. Int. Syst. in Accounting, Finance and Management 10(4): 225-239 (2001) | |
| 2000 | ||
| 4 | Vojislav Kecman, Ivana Hadzic: Support Vectors Selection by Linear Programming. IJCNN (5) 2000: 193-198 | |
| 3 | Vojislav Kecman: Comments on "discrete time neural network synthesis using input and output functions". IEEE Transactions on Systems, Man, and Cybernetics, Part B 30(1): 244-245 (2000) | |
| 1999 | ||
| 2 | Vojislav Kecman, Stanoje P. Bingulac, Zoran Gajic: Eigenvector approach for order reduction of singularly perturbed linear-quadratic optimal control problems. Automatica 35(1): 151-158 (1999) | |
| 1998 | ||
| 1 | Vojislav Kecman, Ljubo Vlacic: Performance of the new neural network based control structure and learning algorithm. KES (1) 1998: 188-194 | |
Colors in the list of coauthors
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