Vojislav Kecman

发表

Two-Stage Clustering with k-Means Algorithm

Qi Li, Raied Salman, Vojislav Kecman, 2011 .

Adaptive Multi-Code Chaos-Based CDMA with Unequal Error Protection Using Reduced Support Vector Machine

Stevan M. Berber, Vojislav Kecman, Johnny Wei-Hsun Kao, 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

Multi-target support vector regression via correlation regressor chains

Vojislav Kecman, Sebastián Ventura, Gabriella Melki, 2017, Inf. Sci..

Semi-supervised learning from unbalanced labeled data: An improvement

Vojislav Kecman, Te Ming Huang, 2006 .

Contributions to k-means clustering and regression via classification algorithms

Raied Salman, Vojislav Kecman, V. Kecman, 2012 .

Parallel multitask cross validation for Support Vector Machine using GPU

Qi Li, Vojislav Kecman, Robert Strack, 2013, J. Parallel Distributed Comput..

Neural networks—a new approach to model vapour‐compression heat pumps

Vojislav Kecman, Pradeep Bansal, M. W. Browne, 2001 .

Protein fold recognition with adaptive local hyperplane algorithm

Vojislav Kecman, Tao Yang, 2009, 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

Minimal Norm Support Vector Machines for Large Classification Tasks

Vojislav Kecman, Robert Strack, 2012, 2012 11th International Conference on Machine Learning and Applications.

Finite Time Optimal Control via Hamiltonian Method

Wu-Chung Su, Myo Taeg Lim, Vojislav Kecman, 2018 .

Learning in and performance of the new neural network based adaptive backthrough control structure

Raied Salman, Vojislav Kecman, Ljuhiša Vlačič, 1999 .

Practical training data for support vector machine receiver in a chaos-based CDMA

Stevan M. Berber, Vojislav Kecman, Johnny W. H. Kao, 2010, 2010 16th Asia-Pacific Conference on Communications (APCC).

Adaptive K-Local Hyperplane (AKLH) Classifiers on Semantic Spaces to Determine Health Consumer Webpage Metadata

Guocai Chen, Vojislav Kecman, Tao Yang, 2008, 2008 21st IEEE International Symposium on Computer-Based Medical Systems.

Identification of a high efficiency boiler by support vector machines without bias term

Vojislav Kecman, Michael Vogt, Karsten Spreitzer, 2003 .

Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models

Vojislav Kecman, V. Kecman, 2001 .

Locally linear support vector machines and other local models

Vojislav Kecman, J. Paul Brooks, J. Brooks, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Algorithms for direct L2 support vector machines

Vojislav Kecman, Ljiljana Zigic, V. Kecman, 2014, 2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings.

Agent based modeling of blood coagulation system: Implementation using a GPU based high speed framework

Qi Li, Kayvan Najarian, Vojislav Kecman, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Hybrid Approach for Modeling Wet Weather Response in Wastewater Systems

Vladan Babovic, Vojislav Kecman, Zoran Vojinovic, 2003 .

Fast online algorithm for nonlinear support vector machines and other alike models

Vojislav Kecman, 2016, Optical Memory and Neural Networks.

A data mining approach to financial time series modelling and forecasting

Vojislav Kecman, Rainer Seidel, Zoran Vojinovic, 2001, Intell. Syst. Account. Finance Manag..

Combining Support Vector Machines and the t-statistic for Gene Selection in DNA Microarray Data Analysis

Chengqi Zhang, Longbing Cao, Vojislav Kecman, 2010, PAKDD.

Fuzzy Calculus by RBF Neural Networks

Vojislav Kecman, Zhenquan Li, 2003 .

Control of 3 DOF Quadrotor Model

Karl Stol, Vojislav Kecman, Tae Soo Kim, 2007, RoMoCo.

On the equality of kernel AdaTron and sequential minimal optimization in classification and regression tasks and alike algorithms for kernel machines

Vojislav Kecman, Michael Vogt, Te Ming Huang, 2003, ESANN.

Fuzzified neural network based on fuzzy number operations

Akira Ichikawa, Zhenquan Li, Vojislav Kecman, 2002, Fuzzy Sets Syst..

Affordable Lab and Project Based Teaching of Control

Vojislav Kecman, 2000 .

Basic Nonlinear Optimization Methods

Vojislav Kecman, V. Kecman, 2001 .

Sphere Support Vector Machines for large classification tasks

Qi Li, Vojislav Kecman, Robert Strack, 2013, Neurocomputing.

New approach to dynamic modelling of vapour-compression liquid chillers: artificial neural networks

Vojislav Kecman, Pradeep Bansal, M. W. Browne, 2001 .

Reduced support vector machine detector for Chaos-based CDMA systems

Stevan M. Berber, Vojislav Kecman, Johnny W. H. Kao, 2010, 2010 IEEE 11th International Symposium on Spread Spectrum Techniques and Applications.

Speeding up online training of L1 Support Vector Machines

Vojislav Kecman, Gabriella Melki, V. Kecman, 2016, SoutheastCon 2016.

Automatic Classification of Laser-Induced Breakdown Spectroscopy (LIBS) Data of Protein Biomarker Solutions

Aleksandar Lazarevic, Vojislav Kecman, Natasa Reljin, 2014, Applied spectroscopy.

GPUSVM: a comprehensive CUDA based support vector machine package

Qi Li, Vojislav Kecman, Robert Strack, 2011, Central European Journal of Computer Science.

Modelling of vapour-compression liquid chillers with neural networks

Vojislav Kecman, Pradeep Bansal, M. W. Browne, 2001 .

Face recognition with adaptive local hyperplane algorithm

Vojislav Kecman, Tao Yang, 2008, Pattern Analysis and Applications.

Fuzzy Logic Systems

Vojislav Kecman, 2001 .

Analysis of Tidal Breathing Flow Volume Loops for Automated Lung-Function Diagnosis in Infants

Steffen Leonhardt, Peter Ahrens, Vojislav Kecman, 2010, IEEE Transactions on Biomedical Engineering.

An intelligent system for accelerating parallel SVM classification problems on large datasets using GPU

Qi Li, Vojislav Kecman, Raied Salman, 2010, 2010 10th International Conference on Intelligent Systems Design and Applications.

Novel Features for Automated Lung Function Diagnosis in Spontaneously Breathing Infants

Steffen Leonhardt, Vojislav Kecman, 2007, AIME.

Support vectors selection by linear programming

Vojislav Kecman, Ivana Hadzic, V. Kecman, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Learning and Soft Computing: Rationale, Motivations, Needs, Basics

Vojislav Kecman, 2001 .

Support Vector Machines

Vojislav Kecman, 2001 .

Fast online algorithms for Support Vector Machines

Vojislav Kecman, Gabriella Melki, V. Kecman, 2016, SoutheastCon 2016.

Feedforward Action Based on Adaptive Backthrough Control

Raied Salman, Vojislav Kecman, 1998 .

Testing Adaptive Local Hyperplane for multi-class classification by double cross-validation

Chengqi Zhang, Longbing Cao, Vojislav Kecman, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

LP and QP based learning from empirical data

Vojislav Kecman, T. Arthanari, I. Hadzic, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

A Chunking Method for Euclidean Distance Matrix Calculation on Large Dataset Using Multi-GPU

Qi Li, Vojislav Kecman, Raied Salman, 2010, 2010 Ninth International Conference on Machine Learning and Applications.

Erythemato-Squamous Diseases Diagnosis by Support Vector Machines and RBF NN

Vojislav Kecman, Mirna Kikec, 2010, ICAISC.

Adaptive local hyperplane classification

Vojislav Kecman, Tao Yang, 2008, Neurocomputing.

Comparisons of QP and LP Based Learning from Empirical Data

Vojislav Kecman, Tiru S. Arthanari, T. Arthanari, 2001, IEA/AIE.

The effect of cluster location and dataset size on 2-stage k-means algorithm

Raied Salman, Vojislav Kecman, 2011, 2011 10th International Workshop on Electronics, Control, Measurement and Signals.

Modeling of Dynamics and Control System Design of Two-Phase Circulaton System of Steam Generator

Dubravko Majetić, Vojislav Kecman, Joško Petrić, 1991 .

Support Vector Machines – An Introduction

Vojislav Kecman, V. Kecman, 2005 .

Combining support vector machine learning with the discrete cosine transform in image compression

Jonathan Robinson, Vojislav Kecman, V. Kecman, 2003, IEEE Trans. Neural Networks.

Modelling empirical data to support project cost estimating: neural networks versus traditional methods

Vojislav Kecman, Zoran Vojinovic, V. Kecman, 2001 .

Performance of the new neural network based control structure and learning algorithm

Ljubo Vlacic, Vojislav Kecman, 1998, 1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111).

OLLAWV: OnLine Learning Algorithm using Worst-Violators

Vojislav Kecman, Sebastián Ventura, Gabriella Melki, 2018, Appl. Soft Comput..

Adaptive local hyperplane algorithm for learning small medical data sets

Vojislav Kecman, Tao Yang, 2009, Expert Syst. J. Knowl. Eng..

Modelling empirical data and decision making with neural networks

Vojislav Kecman, Rainer Seidel, Zoran Vojinovic, 2002 .

Adaptive Local Hyperplane for regression tasks

Vojislav Kecman, Tao Yang, 2009, 2009 International Joint Conference on Neural Networks.

Semi-supervised Learning from Unbalanced Labeled Data - An Improvement

Vojislav Kecman, Te Ming Huang, T. Huang, 2004, KES.

Gene extraction for cancer diagnosis by support vector machines - An improvement

Vojislav Kecman, Te Ming Huang, 2005, Artif. Intell. Medicine.