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Vladimir Nikulin
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Journal Articles
- 2016
- [j8]Vladimir Nikulin:
Prediction of the Shoppers Loyalty with Aggregated Data Streams. J. Artif. Intell. Soft Comput. Res. 6(2): 69 (2016) - 2015
- [j7]Vladimir Nikulin:
Strong consistency of the prototype based clustering in probabilistic space. J. Mach. Learn. Res. 16: 775-785 (2015) - 2014
- [j6]Vladimir Nikulin:
On a solution for the high-dimensionality-small-sample-size regression problem with several different microarrays. Int. J. Data Min. Bioinform. 9(3): 221-234 (2014) - 2011
- [j5]Vladimir Nikulin, Tian-Hsiang Huang, Geoffrey J. McLachlan
:
Classification of High-Dimensional microarray Data with a Two-Step Procedure via a Wilcoxon Criterion and Multilayer Perceptron. Int. J. Comput. Intell. Appl. 10(1): 1-14 (2011) - 2008
- [j4]Vladimir Nikulin:
Classification of Imbalanced Data with Random sets and Mean-Variance Filtering. Int. J. Data Warehous. Min. 4(2): 63-78 (2008) - 2006
- [j3]Vladimir Nikulin:
Threshold-based clustering with merging and regularization in application to network intrusion detection. Comput. Stat. Data Anal. 51(2): 1184-1196 (2006) - [j2]Vladimir Nikulin:
Weighted Threshold-Based Clustering for Intrusion Detection Systems. Int. J. Comput. Intell. Appl. 6(1): 1-19 (2006) - [j1]Vladimir Nikulin:
On the Universal Clustering under a Broad Class of Loss Functions. Int. J. Neural Syst. 16(5): 329-340 (2006)
Conference and Workshop Papers
- 2024
- [c33]Gulnara Abitova, Ayanbek Serikov
System for Talent Acquisition: Integrating AI, Automation, and Data Analysis in HR. ICAIIC 2024: 792-799 - 2016
- [c32]Tian-Hsiang Huang, Vladimir Nikulin, Liang-Bi Chen
Detection of Abnormalities in Driving Style Based on Moving Object Trajectories without Labels. IIAI-AAI 2016: 675-680 - [c31]Vladimir Nikulin:
Driving Style Identification with Unsupervised Learning. MLDM 2016: 155-169 - 2015
- [c30]Vladimir Nikulin:
On the method for data streams aggregation to predict shoppers loyalty. IJCNN 2015: 1-8 - [c29]Vladimir Nikulin, Tian-Hsiang Huang, Jian-De Lu:
Mining Shoppers Data Streams to Predict Customers Loyalty. ISKE 2015: 26-33 - 2014
- [c28]Vladimir Nikulin:
Hybrid Recommender System for Prediction of the Yelp Users Preferences. ICDM 2014: 85-99 - [c27]Tian-Hsiang Huang, Vladimir Nikulin:
Two Algorithms Under Stochastic Gradient Descent Framework for Recommender Systems. PAKDD Workshops 2014: 219-230 - 2013
- [c26]Vladimir Nikulin, Nicoleta Rogovschi, Nistor Grozavu:
Incremental learning from several different microarrays. IJCNN 2013: 1-7 - [c25]Vladimir Nikulin, Aneesha Bakharia, Tian-Hsiang Huang:
On the Evaluation of the Homogeneous Ensembles with CV-Passports. PAKDD Workshops 2013: 109-120 - 2012
- [c24]Gulnara Abitova
Control System with High Robust Stability Characteristics Based on Catastrophe Function. ICECCS 2012: 273-279 - [c23]Aneesha Bakharia, Vladimir Nikulin:
A nonparametric criterion for the selection of the number of factors and nonnegative extension for gradient-based matrix factorization. IJCNN 2012: 1-8 - [c22]Vladimir Nikulin:
On the Homogeneous Ensembling with Balanced Random Sets and Boosting. RSCTC 2012: 180-189 - [c21]Vladimir Nikulin:
On the Homogeneous Ensembling via Balanced Subsets Combined with Wilcoxon-Based Feature Selection. RSCTC 2012: 455-462 - [c20]Vladimir Nikulin, Tian-Hsiang Huang:
Unsupervised dimensionality reduction via gradient-based matrix factorization with two adaptive learning rates. ICML Unsupervised and Transfer Learning 2012: 181-194 - 2011
- [c19]Gulnara Abitova
Increasing Product Quality by Implementation of a Complex Automation System for Industrial Processes. CSDM 2011: 305-316 - [c18]Gulnara Abitova, Mamirbek Beisenbi, Vladimir Nikulin:
Design of a control system with high robust stability characteristics. ICUMT 2011: 1-5 - 2010
- [c17]Vladimir Nikulin, Tian-Hsiang Huang, Geoffrey J. McLachlan
A comparative study of two matrix factorization methods applied to the classification of gene expression data. BIBM 2010: 618-621 - [c16]Vladimir Nikulin, Geoffrey J. McLachlan:
On the Gradient-based Algorithm for Matrix Factorization Applied to Dimensionality Reduction. BIOINFORMATICS 2010: 147-152 - [c15]Vladimir Nikulin, Geoffrey J. McLachlan
Identifying fiber bundles with regularised к-means clustering applied to the grid-based data. IJCNN 2010: 1-8 - 2009
- [c14]Vladimir Nikulin, Geoffrey J. McLachlan
Ensemble Approach for the Classification of Imbalanced Data. Australasian Conference on Artificial Intelligence 2009: 291-300 - [c13]Vladimir Nikulin, Geoffrey J. McLachlan
Penalized Principal Component Analysis of Microarray Data. CIBB 2009: 82-96 - [c12]Vladimir Nikulin, Geoffrey J. McLachlan:
Classification of Imbalanced Marketing Data with Balanced Random Sets. KDD Cup 2009: 89-100 - 2008
- [c11]Vladimir Nikulin:
Random Sets Approach and its Applications. WCCI Causation and Prediction Challenge 2008: 65-76 - 2007
- [c10]Vladimir Nikulin, Geoffrey J. McLachlan
Merging Algorithm to Reduce Dimensionality in Application to Web-Mining. Australian Conference on Artificial Intelligence 2007: 755-761 - 2006
- [c9]Vladimir Nikulin:
Threshold-based clustering for intrusion detection systems. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2006: 62410E - [c8]Vladimir Nikulin:
Dimensional reduction of web traffic data. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2006: 62410J - [c7]Vladimir Nikulin:
Learning with Mean-Variance Filtering, SVM and Gradient-based Optimization. IJCNN 2006: 2193-2200 - 2005
- [c6]Vladimir Nikulin, Alexander J. Smola:
Parametric model-based clustering. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 190-201 - [c5]Vladimir Nikulin:
Universal Clustering with Family of Power Loss Functions in Probabilistic Space. IDEAL 2005: 311-318 - [c4]Vladimir Nikulin, Alexander J. Smola:
Universal Clustering with Regularization in Probabilistic Space. MLDM 2005: 142-152 - 2004
- [c3]Vladimir Nikulin, George Bebis:
Multiresolution image retrieval through fusion. Storage and Retrieval Methods and Applications for Multimedia 2004: 377-387 - 2003
- [c2]Mike Elmore, Victor A. Skormin, Vladimir Nikulin:
A Pspice Optimal Design Tool Utilizing Genetic Optimization. Modelling and Simulation 2003: 372-379 - 1998
- [c1]Vladimir Nikulin:
Optimal Periodic Control with Environmental Application. IEA/AIE (Vol. 2) 1998: 163-172
Parts in Books or Collections
- 2010
- [p1]Vladimir Nikulin:
Classification of Imbalanced Data with Random Sets and Mean-Variance Filtering. Strategic Advancements in Utilizing Data Mining and Warehousing Technologies 2010: 338-354
Informal and Other Publications
- 2011
- [i2]Vladimir Nikulin:
Identifying relationships between drugs and medical conditions: winning experience in the Challenge 2 of the OMOP 2010 Cup. CoRR abs/1110.0641 (2011) - 2010
- [i1]Vladimir Nikulin, Tian-Hsiang Huang, Shu-Kay Ng, Suren I. Rathnayake, Geoffrey J. McLachlan:
A Very Fast Algorithm for Matrix Factorization. CoRR abs/1011.0506 (2010)
Coauthor Index
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