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Vojislav Kecman - Publications

Affiliations: 
Computer Science Virginia Commonwealth University, Richmond, VA, United States 
Area:
Computer Science, Information Technology
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42 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2018 Melki G, Kecman V, Ventura S, Cano A. OLLAWV: OnLine Learning Algorithm using Worst-Violators Applied Soft Computing. 66: 384-393. DOI: 10.1016/J.Asoc.2018.02.040  0.417
2017 Melki G, Cano A, Kecman V, Ventura S. Multi-Target Support Vector Regression Via Correlation Regressor Chains Information Sciences. 415: 53-69. DOI: 10.1016/J.Ins.2017.06.017  0.318
2016 Kecman V. Fast online algorithm for nonlinear support vector machines and other alike models Optical Memory and Neural Networks. 25: 203-218. DOI: 10.3103/S1060992X16040123  0.403
2016 Kecman V, Melki G. Fast online algorithms for Support Vector Machines Conference Proceedings - Ieee Southeastcon. 2016. DOI: 10.1109/SECON.2016.7506733  0.335
2016 Melki G, Kecman V. Speeding up online training of L1 Support Vector Machines Conference Proceedings - Ieee Southeastcon. 2016. DOI: 10.1109/SECON.2016.7506732  0.374
2015 Pokrajac D, Lazarevic A, Kecman V, Marcano A, Markushin Y, Vance T, Reljin N, McDaniel S, Melikechi N. Automatic classification of laser-induced breakdown spectroscopy (LIBS) data of protein biomarker solutions Applied Spectroscopy. 68: 1067-1075. PMID 25226261 DOI: 10.1366/14-07488  0.418
2015 Kecman V. Iterative k Data Algorithm for solving both the least squares SVM and the system of linear equations Conference Proceedings - Ieee Southeastcon. 2015. DOI: 10.1109/SECON.2015.7132930  0.352
2014 Zigic L, Kecman V. Direct L2 Support Vector Machine classifier and performances of its two implementations Conference Proceedings - Ieee Southeastcon. DOI: 10.1109/SECON.2014.6950701  0.358
2014 Kecman V, Zigic L. Algorithms for direct L2 support vector machines Inista 2014 - Ieee International Symposium On Innovations in Intelligent Systems and Applications, Proceedings. 419-424. DOI: 10.1109/INISTA.2014.6873654  0.384
2014 Zigic L, Kecman V. Variants and performances of novel direct learning algorithms for L2 support vector machines Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8468: 82-91. DOI: 10.1007/978-3-319-07176-3_8  0.342
2013 Albarakati N, Kecman V. Fast neural network algorithm for solving classification tasks: Batch error back-propagation algorithm Conference Proceedings - Ieee Southeastcon. DOI: 10.1109/SECON.2013.6567409  0.328
2013 Strack R, Kecman V, Strack B, Li Q. Sphere Support Vector Machines for large classification tasks Neurocomputing. 101: 59-67. DOI: 10.1016/J.Neucom.2012.07.025  0.486
2013 Li Q, Salman R, Test E, Strack R, Kecman V. Parallel multitask cross validation for Support Vector Machine using GPU Journal of Parallel and Distributed Computing. 73: 293-302. DOI: 10.1016/J.Jpdc.2012.02.011  0.598
2012 Test E, Kecman V, Strack R, Li Q, Salman R. Feature ranking for pattern recognition: A comparison of filter methods Conference Proceedings - Ieee Southeastcon. DOI: 10.1109/SECon.2012.6196888  0.554
2012 Salman R, Kecman V. Regression as classification Conference Proceedings - Ieee Southeastcon. DOI: 10.1109/SECon.2012.6196887  0.606
2012 Strack R, Kecman V. Minimal norm support vector machines for large classification tasks Proceedings - 2012 11th International Conference On Machine Learning and Applications, Icmla 2012. 1: 209-214. DOI: 10.1109/ICMLA.2012.43  0.403
2011 Salman R, Kecman V, Li Q, Strack R, Test E. Fast K-Means Algorithm Clustering International Journal of Computer Networks & Communications. 3: 17-31. DOI: 10.5121/Ijcnc.2011.3402  0.609
2011 Salman R, Kecman V. The effect of cluster location and dataset size on 2-stage k-means algorithm 2011 10th International Workshop On Electronics, Control, Measurement and Signals, Ecms 11. DOI: 10.1109/IWECMS.2011.5952377  0.564
2011 Yang T, Kecman V, Cao L, Zhang C, Zhexue Huang J. Margin-based ensemble classifier for protein fold recognition Expert Systems With Applications. 38: 12348-12355. DOI: 10.1016/J.Eswa.2011.04.014  0.372
2011 Rodríguez JT, Vitoriano B, Montero J, Kecman V. A disaster-severity assessment DSS comparative analysis Or Spectrum. 33: 451-479. DOI: 10.1007/S00291-011-0252-5  0.358
2011 Salman R, Kecman V, Li Q, Strack R, Test E. Two-stage clustering with k-means algorithm Communications in Computer and Information Science. 162: 110-122. DOI: 10.1007/978-3-642-21937-5_11  0.572
2010 Kao JW, Berber SM, Kecman V. Blind multiuser detector for chaos-based CDMA using support vector machine. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 21: 1221-31. PMID 20570769 DOI: 10.1109/Tnn.2010.2048758  0.329
2010 Li Q, Salman R, Kecman V. An intelligent system for accelerating parallel SVM classification problems on large datasets using GPU Proceedings of the 2010 10th International Conference On Intelligent Systems Design and Applications, Isda'10. 1131-1135. DOI: 10.1109/ISDA.2010.5687033  0.612
2010 Li Q, Kecman V, Salman R. A chunking method for euclidean distance matrix calculation on large dataset using multi-GPU Proceedings - 9th International Conference On Machine Learning and Applications, Icmla 2010. 208-213. DOI: 10.1109/ICMLA.2010.38  0.576
2010 Yang T, Kecman V, Cao L. Classification by ALH-fast algorithm Tsinghua Science and Technology. 15: 275-280. DOI: 10.1016/S1007-0214(10)70061-4  0.333
2010 Yang T, Kecman V. Face recognition with adaptive local hyperplane algorithm Pattern Analysis and Applications. 13: 79-83. DOI: 10.1007/S10044-008-0138-6  0.412
2010 Kecman V, Kikec M. Erythemato-squamous diseases diagnosis by support vector machines and RBF NN Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6113: 613-620. DOI: 10.1007/978-3-642-13208-7_76  0.312
2009 Yang T, Kecman V. Adaptive local hyperplane algorithm for learning small medical data sets Expert Systems. 26: 355-359. DOI: 10.1111/J.1468-0394.2009.00494.X  0.353
2009 Kecman V, Yang T. Adaptive Local Hyperplane for regression tasks Proceedings of the International Joint Conference On Neural Networks. 1566-1570. DOI: 10.1109/IJCNN.2009.5178919  0.37
2009 Kecman V, Yang T. Protein fold recognition with adaptive local hyperplane algorithm 2009 Ieee Symposium On Computational Intelligence in Bioinformatics and Computational Biology, Cibcb 2009 - Proceedings. 75-78. DOI: 10.1109/CIBCB.2009.4925710  0.319
2008 Yang T, Kecman V. Adaptive local hyperplane classification Neurocomputing. 71: 3001-3004. DOI: 10.1016/J.Neucom.2008.01.014  0.388
2005 Huang TM, Kecman V. Gene extraction for cancer diagnosis by support vector machines--an improvement. Artificial Intelligence in Medicine. 35: 185-94. PMID 16026974 DOI: 10.1016/J.Artmed.2005.01.006  0.374
2004 Vogt M, Kecman V. An Active-set algorithm for support vector machines in nonlinear system identification Ifac Proceedings Volumes. 37: 351-356. DOI: 10.1016/S1474-6670(17)31248-X  0.434
2003 Robinson J, Kecman V. Combining support vector machine learning with the discrete cosine transform in image compression Ieee Transactions On Neural Networks. 14: 950-958. DOI: 10.1109/Tnn.2003.813842  0.413
2003 Vojinovic Z, Kecman V, Babovic V. Hybrid approach for modeling wet weather response in wastewater systems Journal of Water Resources Planning and Management. 129: 511-521. DOI: 10.1061/(Asce)0733-9496(2003)129:6(511)  0.315
2003 Vogt M, Spreitzer K, Kecman V. Identification of a high efficiency boiler by support vector machines without bias term Ifac Proceedings Volumes. 36: 465-470. DOI: 10.1016/S1474-6670(17)34805-X  0.397
2003 Lin JT, Bhattacharyya D, Kecman V. Multiple regression and neural networks analyses in composites machining Composites Science and Technology. 63: 539-548. DOI: 10.1016/S0266-3538(02)00232-4  0.323
2003 Robinson J, Kecman V. Exploitation of Sparse Properties of Support Vector Machines in Image Compression Proceedings of the International Joint Conference On Neural Networks. 2: 1232-1236.  0.318
2001 Vojinovic Z, Kecman V. Modelling empirical data to support project cost estimating: neural networks versus traditional methods Construction Innovation: Information, Process, Management. 1: 227-243. DOI: 10.1108/14714170110814622  0.342
2001 Bechtler H, Browne MW, Bansal PK, Kecman V. New approach to dynamic modelling of vapour-compression liquid chillers: Artificial neural networks Applied Thermal Engineering. 21: 941-953. DOI: 10.1016/S1359-4311(00)00093-4  0.323
2001 Swider DJ, Browne MW, Bansal PK, Kecman V. Modelling of vapour-compression liquid chillers with neural networks Applied Thermal Engineering. 21: 311-329. DOI: 10.1016/S1359-4311(00)00036-3  0.317
2001 Vojinovic Z, Kecman V, Seidel R. A Data Mining Approach to Financial Time Series Modelling and Forecasting International Journal of Intelligent Systems in Accounting, Finance & Management. 10: 225-239. DOI: 10.1002/Isaf.207  0.375
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