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Vojislav Kecman
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2010 – 2019
- 2018
- [j20]Gabriella Melki
, Vojislav Kecman, Sebastián Ventura
, Alberto Cano
:
OLLAWV: OnLine Learning Algorithm using Worst-Violators. Appl. Soft Comput. 66: 384-393 (2018) - 2017
- [j19]Gabriella Melki
, Alberto Cano
, Vojislav Kecman, Sebastián Ventura:
Multi-target support vector regression via correlation regressor chains. Inf. Sci. 415: 53-69 (2017) - 2014
- [c25]Ljiljana Zigic, Vojislav Kecman:
Variants and Performances of Novel Direct Learning Algorithms for L2 Support Vector Machines. ICAISC (2) 2014: 82-91 - [c24]Vojislav Kecman, Ljiljana Zigic:
Algorithms for direct L2 support vector machines. INISTA 2014: 419-424 - 2013
- [j18]Robert Strack, Vojislav Kecman, Beata Strack
, Qi Li:
Sphere Support Vector Machines for large classification tasks. Neurocomputing 101: 59-67 (2013) - [j17]Qi Li, Raied Salman, Erik Test, Robert Strack, Vojislav Kecman:
Parallel multitask cross validation for Support Vector Machine using GPU. J. Parallel Distributed Comput. 73(3): 293-302 (2013) - 2012
- [c23]Robert Strack, Vojislav Kecman:
Minimal Norm Support Vector Machines for Large Classification Tasks. ICMLA (1) 2012: 209-214 - 2011
- [j16]Qi Li, Raied Salman, Erik Test, Robert Strack, Vojislav Kecman:
GPUSVM: a comprehensive CUDA based support vector machine package. Central Eur. J. Comput. Sci. 1(4): 387-405 (2011) - [j15]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) - [j14]Juan Tinguaro Rodríguez
, Begoña Vitoriano
, Javier Montero
, Vojislav Kecman:
A disaster-severity assessment DSS comparative analysis. OR Spectr. 33(3): 451-479 (2011) - [c22]Wenan Chen, Kevin Ward, Qi Li, Vojislav Kecman, Kayvan Najarian, Nathan B. Menke
:
Agent based modeling of blood coagulation system: Implementation using a GPU based high speed framework. EMBC 2011: 145-148 - [c21]Raied Salman, Vojislav Kecman, Qi Li, Robert Strack, Erik Test:
Two-Stage Clustering with k-Means Algorithm. WiMo/CoNeCo 2011: 110-122 - [i1]Raied Salman, Vojislav Kecman, Qi Li, Robert Strack, Erik Test:
Fast k-means algorithm clustering. CoRR abs/1108.1351 (2011) - 2010
- [j13]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. Comput. Biol. Chem. 34(1): 19-33 (2010) - [j12]Tao Yang, Vojislav Kecman:
Face recognition with adaptive local hyperplane algorithm. Pattern Anal. Appl. 13(1): 79-83 (2010) - [j11]Steffen Leonhardt
, Peter Ahrens, Vojislav Kecman:
Analysis of Tidal Breathing Flow Volume Loops for Automated Lung-Function Diagnosis in Infants. IEEE Trans. Biomed. Eng. 57(8): 1945-1953 (2010) - [j10]Johnny Wei-Hsun Kao, Stevan M. Berber
, Vojislav Kecman:
Blind multiuser detector for chaos-based CDMA using support vector machine. IEEE Trans. Neural Networks 21(8): 1221-1231 (2010) - [c20]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 - [c19]Vojislav Kecman, Mirna Kikec:
Erythemato-Squamous Diseases Diagnosis by Support Vector Machines and RBF NN. ICAISC (1) 2010: 613-620 - [c18]Qi Li, Vojislav Kecman, Raied Salman:
A Chunking Method for Euclidean Distance Matrix Calculation on Large Dataset Using Multi-GPU. ICMLA 2010: 208-213 - [c17]Vojislav Kecman, J. Paul Brooks:
Locally linear support vector machines and other local models. IJCNN 2010: 1-6 - [c16]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 - [c15]Tao Yang, Vojislav Kecman, Longbing Cao
, Chengqi Zhang
:
Testing Adaptive Local Hyperplane for multi-class classification by double cross-validation. IJCNN 2010: 1-5 - [c14]Qi Li, Raied Salman, Vojislav Kecman:
An intelligent system for accelerating parallel SVM classification problems on large datasets using GPU. ISDA 2010: 1131-1135 - [c13]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
2000 – 2009
- 2009
- [j9]Tao Yang, Vojislav Kecman:
Adaptive local hyperplane algorithm for learning small medical data sets. Expert Syst. J. Knowl. Eng. 26(4): 355-359 (2009) - [c12]Vojislav Kecman, Tao Yang:
Protein fold recognition with adaptive local hyperplane algorithm. CIBCB 2009: 75-78 - [c11]Vojislav Kecman, Tao Yang:
Adaptive Local Hyperplane for regression tasks. IJCNN 2009: 1566-1570 - 2008
- [j8]Tao Yang, Vojislav Kecman:
Adaptive local hyperplane classification. Neurocomputing 71(13-15): 3001-3004 (2008) - [c10]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
- [c9]Steffen Leonhardt
, Vojislav Kecman:
Novel Features for Automated Lung Function Diagnosis in Spontaneously Breathing Infants. AIME 2007: 195-199 - [c8]Tae Soo Kim, Karl A. Stol
, Vojislav Kecman:
Control of 3 DOF Quadrotor Model. RoMoCo 2007: 29-38 - 2006
- [b1]Te Ming Huang, Vojislav Kecman, Ivica Kopriva:
Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning. Studies in Computational Intelligence 17, Springer 2006, ISBN 978-3-540-31681-7 - [j7]Te Ming Huang, Vojislav Kecman:
Semi-supervised learning from unbalanced labeled data: An improvement. Int. J. Knowl. Based Intell. Eng. Syst. 10(1): 21-27 (2006) - 2005
- [j6]Te Ming Huang, Vojislav Kecman:
Gene extraction for cancer diagnosis by support vector machines - An improvement. Artif. Intell. Medicine 35(1-2): 185-194 (2005) - [c7]Te Ming Huang, Vojislav Kecman:
Gene Extraction for Cancer Diagnosis by Support Vector Machines. ICANN (1) 2005: 617-624 - 2004
- [c6]Te Ming Huang, Vojislav Kecman:
Bias Term b in SVMs Again. ESANN 2004: 441-448 - [c5]Te Ming Huang, Vojislav Kecman:
Semi-supervised Learning from Unbalanced Labeled Data - An Improvement. KES 2004: 802-808 - 2003
- [j5]Jonathan Robinson, Vojislav Kecman:
Combining support vector machine learning with the discrete cosine transform in image compression. IEEE Trans. Neural Networks 14(4): 950-958 (2003) - [c4]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 - 2002
- [j4]Zhenquan Li, Vojislav Kecman, Akira Ichikawa:
Fuzzified neural network based on fuzzy number operations. Fuzzy Sets Syst. 130(3): 291-304 (2002) - 2001
- [j3]Zoran Vojinovic, Vojislav Kecman, Rainer Seidel:
A data mining approach to financial time series modelling and forecasting. Intell. Syst. Account. Finance Manag. 10(4): 225-239 (2001) - [c3]Vojislav Kecman, Tiru S. Arthanari:
Comparisons of QP and LP Based Learning from Empirical Data. IEA/AIE 2001: 326-332 - 2000
- [j2]Vojislav Kecman:
Comments on "discrete time neural network synthesis using input and output functions". IEEE Trans. Syst. Man Cybern. Part B 30(1): 244-245 (2000) - [c2]Vojislav Kecman, Ivana Hadzic:
Support Vectors Selection by Linear Programming. IJCNN (5) 2000: 193-198
1990 – 1999
- 1999
- [j1]Vojislav Kecman, Stanoje P. Bingulac, Zoran Gajic:
Eigenvector approach for order reduction of singularly perturbed linear-quadratic optimal control problems. Autom. 35(1): 151-158 (1999) - 1998
- [c1]Vojislav Kecman, Ljubo B. Vlacic:
Performance of the new neural network based control structure and learning algorithm. KES (1) 1998: 188-194
Coauthor Index
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last updated on 2024-08-05 21:23 CEST by the dblp team
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