Optimal Periodic Control with Environmental Application. - Vladimir Nikulin (IEA/AIE (Vol. 2), 1998)

A Pspice Optimal Design Tool Utilizing Genetic Optimization. - Mike Elmore; Victor A. Skormin; Vladimir Nikulin (Modelling and Simulation, 2003)

Multiresolution image retrieval through fusion. - Vladimir Nikulin; George Bebis (Storage and Retrieval Methods and Applications for Multimedia, 2004)

Parametric model-based clustering. - Vladimir Nikulin; Alexander J. Smola (Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security, 2005)

Universal Clustering with Family of Power Loss Functions in Probabilistic Space. - Vladimir Nikulin (IDEAL, 2005)

Universal Clustering with Regularization in Probabilistic Space. - Vladimir Nikulin; Alexander J. Smola (MLDM, 2005)

Threshold-based clustering for intrusion detection systems. - Vladimir Nikulin (Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security, 2006)

Dimensional reduction of web traffic data. - Vladimir Nikulin (Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security, 2006)

Learning with Mean-Variance Filtering, SVM and Gradient-based Optimization. - Vladimir Nikulin (IJCNN, 2006)

Threshold-based clustering with merging and regularization in application to network intrusion detection. - Vladimir Nikulin (Comput. Stat. Data Anal., 2006)

Weighted Threshold-Based Clustering for Intrusion Detection Systems. - Vladimir Nikulin (Int. J. Comput. Intell. Appl., 2006)

On the Universal Clustering under a Broad Class of Loss Functions. - Vladimir Nikulin (Int. J. Neural Syst., 2006)

Merging Algorithm to Reduce Dimensionality in Application to Web-Mining. - Vladimir Nikulin; Geoffrey J. McLachlan (Australian Conference on Artificial Intelligence, 2007)

Classification of Imbalanced Data with Random sets and Mean-Variance Filtering. - Vladimir Nikulin (Int. J. Data Warehous. Min., 2008)

Random Sets Approach and its Applications. - Vladimir Nikulin (WCCI Causation and Prediction Challenge, 2008)

Ensemble Approach for the Classification of Imbalanced Data. - Vladimir Nikulin; Geoffrey J. McLachlan; Shu-Kay Ng (Australasian Conference on Artificial Intelligence, 2009)

Penalized Principal Component Analysis of Microarray Data. - Vladimir Nikulin; Geoffrey J. McLachlan (CIBB, 2009)

Classification of Imbalanced Marketing Data with Balanced Random Sets. - Vladimir Nikulin; Geoffrey J. McLachlan (KDD Cup, 2009)

Classification of Imbalanced Data with Random Sets and Mean-Variance Filtering. - Vladimir Nikulin (Strategic Advancements in Utilizing Data Mining and Warehousing Technologies, 2010)

A comparative study of two matrix factorization methods applied to the classification of gene expression data. - Vladimir Nikulin; Tian-Hsiang Huang; Geoffrey J. McLachlan (BIBM, 2010)

On the Gradient-based Algorithm for Matrix Factorization Applied to Dimensionality Reduction. - Vladimir Nikulin; Geoffrey J. McLachlan (BIOINFORMATICS, 2010)

Identifying fiber bundles with regularised к-means clustering applied to the grid-based data. - Vladimir Nikulin; Geoffrey J. McLachlan (IJCNN, 2010)

A Very Fast Algorithm for Matrix Factorization - Vladimir Nikulin; Tian-Hsiang Huang; Shu-Kay Ng; Suren I. Rathnayake; Geoffrey J. McLachlan (CoRR, 2010)

Increasing Product Quality by Implementation of a Complex Automation System for Industrial Processes. - Gulnara Abitova; Vladimir Nikulin (CSDM, 2011)

Design of a control system with high robust stability characteristics. - Gulnara Abitova; Mamirbek Beisenbi; Vladimir Nikulin (ICUMT, 2011)

Identifying relationships between drugs and medical conditions: winning experience in the Challenge 2 of the OMOP 2010 Cup - Vladimir Nikulin (CoRR, 2011)

Classification of High-Dimensional microarray Data with a Two-Step Procedure via a Wilcoxon Criterion and Multilayer Perceptron. - Vladimir Nikulin; Tian-Hsiang Huang; Geoffrey J. McLachlan (Int. J. Comput. Intell. Appl., 2011)

Control System with High Robust Stability Characteristics Based on Catastrophe Function. - Gulnara Abitova; Vladimir Nikulin; Victor A. Skormin; Mamirbek Beisenbi; Aliya Ainagulova (ICECCS, 2012)

A nonparametric criterion for the selection of the number of factors and nonnegative extension for gradient-based matrix factorization. - Aneesha Bakharia; Vladimir Nikulin (IJCNN, 2012)

On the Homogeneous Ensembling with Balanced Random Sets and Boosting. - Vladimir Nikulin (RSCTC, 2012)

On the Homogeneous Ensembling via Balanced Subsets Combined with Wilcoxon-Based Feature Selection. - Vladimir Nikulin (RSCTC, 2012)

Unsupervised dimensionality reduction via gradient-based matrix factorization with two adaptive learning rates. - Vladimir Nikulin; Tian-Hsiang Huang (ICML Unsupervised and Transfer Learning, 2012)

Incremental learning from several different microarrays. - Vladimir Nikulin; Nicoleta Rogovschi; Nistor Grozavu (IJCNN, 2013)

On the Evaluation of the Homogeneous Ensembles with CV-Passports. - Vladimir Nikulin; Aneesha Bakharia; Tian-Hsiang Huang (PAKDD Workshops, 2013)

Hybrid Recommender System for Prediction of the Yelp Users Preferences. - Vladimir Nikulin (ICDM, 2014)

Two Algorithms Under Stochastic Gradient Descent Framework for Recommender Systems. - Tian-Hsiang Huang; Vladimir Nikulin (PAKDD Workshops, 2014)

On a solution for the high-dimensionality-small-sample-size regression problem with several different microarrays. - Vladimir Nikulin (Int. J. Data Min. Bioinform., 2014)

On the method for data streams aggregation to predict shoppers loyalty. - Vladimir Nikulin (IJCNN, 2015)

Mining Shoppers Data Streams to Predict Customers Loyalty. - Vladimir Nikulin; Tian-Hsiang Huang; Jian-De Lu (ISKE, 2015)

Strong consistency of the prototype based clustering in probabilistic space. - Vladimir Nikulin (J. Mach. Learn. Res., 2015)

Detection of Abnormalities in Driving Style Based on Moving Object Trajectories without Labels. - Tian-Hsiang Huang; Vladimir Nikulin; Liang-Bi Chen (IIAI-AAI, 2016)

Driving Style Identification with Unsupervised Learning. - Vladimir Nikulin (MLDM, 2016)

Prediction of the Shoppers Loyalty with Aggregated Data Streams. - Vladimir Nikulin (J. Artif. Intell. Soft Comput. Res., 2016)

System for Talent Acquisition: Integrating AI, Automation, and Data Analysis in HR. - Gulnara Abitova; Ayanbek Serikov; Vladimir Nikulin; Mira Rakhimzhanova; Gulnur Shuteyeva; Korlan Kulniyazova (ICAIIC, 2024)