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Nikulin, Vladimir, Huang, Tian-Hsiang and McLachlan, Geoffrey J. (2010). A comparative study of two matrix factorization methods applied to the classification of gene expression rate. In: T. Park, L. Chen, L. Wong, S. Tsui, M. Ng and X. Hu, Proceedings of 2010 IEEE International Conference on Bioinformatics and Biomedicine. IEEE International Conference on Bioinformatics & Biomedicine, Hong Kong, (618-621). 18-21 December 2010. 99  
Nikulin, V, Huang, TH, Ng, SK, Rathnayake, SI and McLachlan, GJ (2011) A very fast algorithm for matrix factorization. Statistics and Probability Letters, 81 7: 773-782. doi:10.1016/j.spl.2011.02.001 77   6 Cited 9 times in Scopus9 0
Nikulin, Vladimir, Huang, Tian-Hsiang and McLachlan, Geoffrey J. (2011) Classification of high-dimensional microarray data with a two-step procedure via a Wilcoxon criterion and multilayer perceptron. International Journal of Computational Intelligence and Applications, 10 1: 1-14. doi:10.1142/S1469026811002969 59   Cited 0 times in Scopus0 0
Nikulin, Vladimir (2008) Classification of Imbalanced Data with Random Sets and Mean-Variance Filtering. International Journal of Data Warehousing and Mining, 4 2: 63-78. 48   Cited 13 times in Scopus13
Nikulin, Vladimir and McLachlan, Geoffrey J. (2009). Classification of imbalanced marketing data with balanced random sets. In: Gideon Dror, Marc Boull´e, Isabelle Guyon, Vincent Lemaire and David Vogel, Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics. AISTATS 2009, Clearwater Beach, FL, United States, (89-100). 16-18 April 2009. 87 2
Nikulin, V. (2006). Dimensional reduction of web-traffic data. In: Belur V. Dasarathy, Proceedings of SPIE Vol. 6241. Data Mining, Intrusion Detection, Information Assurance, and Networks Security, Orlando, Florida, USA, (J2410-J2410). 17-18 April 2006. doi:10.1117/12.664767 25   0 0
Nikulin, Vladimir, McLachlan, Geoffrey J. and Ng, Shu Kay (2009). Ensemble approach for the classification of imbalanced data. In: Ann Nicholson, Xiaodong Li, Randy Goebel, Jörg Siekmann and Wolfgang Wahlster, Lecture Notes in Computer Science. AI 2009: Advances in Artificial Intelligence. 22nd Australasian Joint Conference. Proceedings. AI 2009: Advances in Artificial Intelligence, Melbourne, VIC, Australia, (291-300). 1-4 December 2009. doi:10.1007/978-3-642-10439-8 59   0 Cited 2 times in Scopus2 0
Nikulin, Vladimir (2009). Ensemble learning with random sampling. In: The Australasian Data Mining Conference: AusDM 2009, Melbourne, Vic, Australia, (1-2). December 1-4, 2009. 28  
Nikulin, Vladimir and McLachlan, Geoffrey J. (2010). Identifying fibre bundles with regularized k-means clustering applied to grid-based data. In: V. Piuri, Proceedings of the 2010 International Joint Conference on Neural Networks. 2010 International Joint Conference on Neural Networks (IJCNN 2010), Barcelona, Spain, (2281-2288). 18-23 July 2010. doi:10.1109/IJCNN.2010.5596562 49 2 0 Cited 0 times in Scopus0 0
Nikulin, V. (2006). Learning with mean-variance filtering, SVM and gradient-based optimization. In: IEEE International Joint Conference on Neural Networks (IJCNN): International Joint Conference on Neural Networks, IJCNN 2006. International Joint Conference on Neural Networks, Vancouve, BC, Canada, (2193-2200). 16-21 July 2006. doi:10.1109/IJCNN.2006.247013 47   0 Cited 0 times in Scopus0 0
Nikulin, V and McLachlan, GJ (2007). Merging algorithm to reduce dimensionality in application to web-mining. In: AI 2007: Advances in Artificial Intelligence: Proceedings of the 20th Australian Joint Conference on Artificial Intelligence. 20th Australian Joint Conference on Artificial Intelligence, Gold Coast, Qld, Australia, (755-761). 2-6 December, 2007. doi:10.1007/978-3-540-76928-6_88 75   0 Cited 0 times in Scopus0 0
Nikulin, Vladimir and McLachlan, Geoffrey J. (2009). On a general method for matrix factorisation applied to supervised classification. In: Jake Chen, Xin Chen, John Ely, Dilek Hakkani-Tr, Jing He, Hui-Huang Hsu, Li Liao, Chunmei Liu, Mihai Pop and Shoba Ranganathan, Proceedings 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshops. 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshops, Washington, D.C., U.S.A., (44-49). 1-4 November 2009. doi:10.1109/BIBMW.2009.5332135 102   0 Cited 3 times in Scopus3 0
Huang, Tian-Hsiang, Nikulin, Vladimir and McLachlan, Geoffrey J. (2010). On relations between genes and metagenes obtained via gradient-based matrix factorization. In: Yan Li, Jiajia. Yang, Peng Wen and Jinglong Wu, Proceedings of 2010 IEEE/ICME International Conference on Complex Medical Engineering. 2010 IEEE/ICME International Conference on Complex Medical Engineering, Gold Coast, Australia, (17-22). 13-15 July 2010. doi:10.1109/ICCME.2010.5558880 59   Cited 0 times in Scopus0 0
Nikulin, Vladimir and McLachlan, Geoffrey J. (2010). On the gradient-based algorithm for matrix factorization applied to dimensionality reduction. In: Ana Fred, Joaquim Filipe and Hugo Gamboa, BIOSTEC 2010: Biomedical Engineering Systems and Technologies. Proceedings of the Third International Joint Conference on Biomedical Engineering Systems and Technologies. BIOINFORMATICS 2010: 1st International Conference on Bioinformatics, Valencia, Spain, (147-152). 20-23 January 2010. 171 18 Cited 0 times in Scopus0
Nikulin, Vladimir (2006) On the universal clustering under a broad class of loss functions. International Journal of Neural Systems, 16 5: 329-339. doi:10.1142/S0129065706000731 41   0 Cited 0 times in Scopus0 0
Nikulin, V. and Smola, A. (2005). Parametric model-based clustering. In: Belur V. Dasarathy, Data mining, intrusion detection, information assurance and data networks security 2005: Proceedings of SPIE Vol. 5812. Data mining, intrusion detection, information assurance, and data networks security, Orlando, Florida USA, (190-201). 28-29 March 2005. doi:10.1117/12.603199 28   0 Cited 1 times in Scopus1 0
Nikulin, Vladimir and McLachlan, Geoffrey J. (2010). Penalized principal component analysis of microarray data. In: F. Masulli, L. Peterson and R. Tagliaferri, 6th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics. 6th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2009, Genoa, Italy, (82-96). 15-17 October, 2009. doi:10.1007/978-3-642-14571-1_7 68   1 Cited 3 times in Scopus3 0
Nikulin, Vladimir (2008). Random sets approach and its applications. In: I. Guyon, C. Aliferis, G. Cooper, A. Elissee, J.-P. Pellet, P. Spirtes and A. Statnikov, JMLR Workshop and Conference Proceedings Volume 3: Causation and Prediction Challenge (WCCI 2008). Workshop and Conference Proceedings of the Journal of Machine Learning Research, Whistler, Canada, (65-76). 12 December, 2008. 42  
Nikulin, Vladimir and McLachlan, Geoffrey J. (2009). Regularised k-means clustering for dimension reduction applied to supervised classification. In: Francesco Masulli, Leif Peterson and Roberto Tagliaferri, Proceedings of CIBB 2009, Sixth International Meeting on Computational Intelligence for Bioinformatics and Biostatistics. Sixth International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics 2009, Genova, Italy, (1-10). 15-17 October 2009. 79  
Wojnarski, Marcin, Janusz, Andrzej, Nyugen, Hung Son, Bazan, Jan, Luo, ChuanJiang, Chen, Ze, Hu, Feng, Wang, Guoyin, Guan, Lihe, Luo, Huan, Gao, Juan, Shen, Yuanxia, Nikulin, Vladimir, Huang, Tian-Hsiang, McLachlan, Geoffrey J., Bosnjak, Matko and Gamberger, Dragan (2010). RSCTC 2010 Discovery Challenge: Mining DNA microarray data for medical diagnosis and treatment. In: Marcin Szczuka, Marzena Kryszkiewicz, Sheela Ramanna, Richard Jensen and Qinghua Hu, Proceedings of the 7th International Conference on Rough Sets and Current Trends in Computing (RSCT 2010). 7th International Conference on Rough Sets and Current Trends in Computing (RSCTC 2010), Warsaw, Poland, (4-19). 28-30 June 2010. doi:10.1007/978-3-642-13529-3_3 96   11 Cited 11 times in Scopus11 0
Nikulin, V. (2006). Threshold-based Clustering for Intrusion Detection Systems. In: Belur V. Dasarathy, Proceedings of SPIE: Data Mining, Intrusion Detection, Information Assurance, and Networks Security 2006. Data Mining, Intrusion Detection, Information Assurance, and Networks Security 2006, Orlando, Florida, USA, (62410E-1-62410E-12). 17-18 April 2006. doi:10.1117/12.665326 38   0 Cited 0 times in Scopus0 0
Nikulin, V. (2005). Threshold-based Clustering with Hard Regularization for Intrusion Detection Systems. In: R. Ghosh, B. Verma and X. Lue, Proceedings of: Workshop on Learning Algorithms for Pattern Recognition In conjunction with The 18th Australian Joint Conference on Artificial Intelligence UTS (AI 2005). Workshop on Learning Algorithms for Pattern Recognition, Sydney, Australia, (78-87). 5 – 9 December 2005. 36  
Nikulin, V. (2006) Threshold-based clustering with merging and regularization in application to network intrusion detection. Computational Statistics & Data Analysis, 51 2: 1184-1196. doi:10.1016/j.csda.2005.11.015 60   4 Cited 4 times in Scopus4 0
Nikulin, V. (2005). Universal clustering with family of power loss functions in probabilistic space. In: M. Gallagher, J. Hogan and F. Maire, International Data Engineering and Automated Learning - IDEAL 2005: 6th International Conference, Brisbane, Australia, July 6-8, 2005: Proceedings. IDEAL 2005, Brisbane, (311-318). 6-8 July 2005. 32   4 Cited 2 times in Scopus2
Nikulin, Vladimir and Smola, Alex J. (2005). Universal clustering with regularization in probabilistic space. In: Petra Perner and Atsushi Imiya, Machine Learning and Data Mining in Pattern Recognition, Serie: Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence, LNAI 3587: Proceedings Conference MLDM 2005. 4th International Conference, MLDM 2005, Leipzig, Germany, (142-152). 9-11 July 2005. doi:10.1007/11510888_15 28   0 Cited 0 times in Scopus0 0
Nikulin, Vladimir (2006) Weighted threshold-based clustering for intrusion detection systems. International Journal of Computational Intelligence & Application, 6 1: 1-19. doi:10.1142/S1469026806001770 70   0