Vojislav Kecman

According to our database1, Vojislav Kecman authored at least 46 papers between 1998 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2018
OLLAWV: OnLine Learning Algorithm using Worst-Violators.
Appl. Soft Comput., 2018

2017
Multi-target support vector regression via correlation regressor chains.
Inf. Sci., 2017

2014
Algorithms for direct L2 support vector machines.
Proceedings of the 2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications, 2014

Variants and Performances of Novel Direct Learning Algorithms for L2 Support Vector Machines.
Proceedings of the Artificial Intelligence and Soft Computing, 2014

2013
Parallel multitask cross validation for Support Vector Machine using GPU.
J. Parallel Distributed Comput., 2013

Sphere Support Vector Machines for large classification tasks.
Neurocomputing, 2013

2012
Minimal Norm Support Vector Machines for Large Classification Tasks.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

2011
A disaster-severity assessment DSS comparative analysis.
OR Spectr., 2011

Margin-based ensemble classifier for protein fold recognition.
Expert Syst. Appl., 2011

Fast k-means algorithm clustering
CoRR, 2011

GPUSVM: a comprehensive CUDA based support vector machine package.
Central Eur. J. Comput. Sci., 2011

Two-Stage Clustering with k-Means Algorithm.
Proceedings of the Recent Trends in Wireless and Mobile Networks, 2011

Agent based modeling of blood coagulation system: Implementation using a GPU based high speed framework.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
Blind multiuser detector for chaos-based CDMA using support vector machine.
IEEE Trans. Neural Networks, 2010

Analysis of Tidal Breathing Flow Volume Loops for Automated Lung-Function Diagnosis in Infants.
IEEE Trans. Biomed. Eng., 2010

Face recognition with adaptive local hyperplane algorithm.
Pattern Anal. Appl., 2010

Resolution and uniqueness of estimated parameters of a model of thin filament regulation in solution.
Comput. Biol. Chem., 2010

Combining Support Vector Machines and the <i>t</i>-statistic for Gene Selection in DNA Microarray Data Analysis.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

An intelligent system for accelerating parallel SVM classification problems on large datasets using GPU.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

Testing Adaptive Local Hyperplane for multi-class classification by double cross-validation.
Proceedings of the International Joint Conference on Neural Networks, 2010

Classification of LIBS protein spectra using support vector machines and adaptive local hyperplanes.
Proceedings of the International Joint Conference on Neural Networks, 2010

Locally linear support vector machines and other local models.
Proceedings of the International Joint Conference on Neural Networks, 2010

A Chunking Method for Euclidean Distance Matrix Calculation on Large Dataset Using Multi-GPU.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Erythemato-Squamous Diseases Diagnosis by Support Vector Machines and RBF NN.
Proceedings of the Artificial Intelligence and Soft Computing, 2010

Adaptive Multi-Code Chaos-Based CDMA with Unequal Error Protection Using Reduced Support Vector Machine.
Proceedings of the Global Communications Conference, 2010

2009
Adaptive local hyperplane algorithm for learning small medical data sets.
Expert Syst. J. Knowl. Eng., 2009

Adaptive Local Hyperplane for regression tasks.
Proceedings of the International Joint Conference on Neural Networks, 2009

Protein fold recognition with adaptive local hyperplane algorithm.
Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2009

2008
Adaptive local hyperplane classification.
Neurocomputing, 2008

Adaptive K-Local Hyperplane (AKLH) Classifiers on Semantic Spaces to Determine Health Consumer Webpage Metadata.
Proceedings of the Twenty-First IEEE International Symposium on Computer-Based Medical Systems, 2008

2007
Control of 3 DOF Quadrotor Model.
Proceedings of the Robot Motion and Control 2007, 2007

Novel Features for Automated Lung Function Diagnosis in Spontaneously Breathing Infants.
Proceedings of the Artificial Intelligence in Medicine, 2007

2006
Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning.
Studies in Computational Intelligence 17, Springer, ISBN: 978-3-540-31681-7, 2006

Semi-supervised learning from unbalanced labeled data: An improvement.
Int. J. Knowl. Based Intell. Eng. Syst., 2006

2005
Gene extraction for cancer diagnosis by support vector machines - An improvement.
Artif. Intell. Medicine, 2005

Gene Extraction for Cancer Diagnosis by Support Vector Machines.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

2004
Bias Term b in SVMs Again.
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

2003
Combining support vector machine learning with the discrete cosine transform in image compression.
IEEE Trans. Neural Networks, 2003

On the equality of kernel AdaTron and sequential minimal optimization in classification and regression tasks and alike algorithms for kernel machines.
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003

2002
Fuzzified neural network based on fuzzy number operations.
Fuzzy Sets Syst., 2002

2001
A data mining approach to financial time series modelling and forecasting.
Intell. Syst. Account. Finance Manag., 2001

Comparisons of QP and LP Based Learning from Empirical Data.
Proceedings of the Engineering of Intelligent Systems, 2001

2000
Comments on "discrete time neural network synthesis using input and output functions".
IEEE Trans. Syst. Man Cybern. Part B, 2000

Support Vectors Selection by Linear Programming.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999
Eigenvector approach for order reduction of singularly perturbed linear-quadratic optimal control problems.
Autom., 1999

1998
Performance of the new neural network based control structure and learning algorithm.
Proceedings of the Knowledge-Based Intelligent Electronic Systems, 1998


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