Vladimir Nikulin

According to our database1, Vladimir Nikulin authored at least 44 papers between 1998 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
System for Talent Acquisition: Integrating AI, Automation, and Data Analysis in HR.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication , 2024

2016
Prediction of the Shoppers Loyalty with Aggregated Data Streams.
J. Artif. Intell. Soft Comput. Res., 2016

Driving Style Identification with Unsupervised Learning.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016

Detection of Abnormalities in Driving Style Based on Moving Object Trajectories without Labels.
Proceedings of the 5th IIAI International Congress on Advanced Applied Informatics, 2016

2015
Strong consistency of the prototype based clustering in probabilistic space.
J. Mach. Learn. Res., 2015

Mining Shoppers Data Streams to Predict Customers Loyalty.
Proceedings of the 10th International Conference on Intelligent Systems and Knowledge Engineering, 2015

On the method for data streams aggregation to predict shoppers loyalty.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

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

Two Algorithms Under Stochastic Gradient Descent Framework for Recommender Systems.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2014

Hybrid Recommender System for Prediction of the Yelp Users Preferences.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2014

2013
On the Evaluation of the Homogeneous Ensembles with CV-Passports.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2013

Incremental learning from several different microarrays.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
Unsupervised dimensionality reduction via gradient-based matrix factorization with two adaptive learning rates.
Proceedings of the Unsupervised and Transfer Learning, 2012

On the Homogeneous Ensembling via Balanced Subsets Combined with Wilcoxon-Based Feature Selection.
Proceedings of the Rough Sets and Current Trends in Computing, 2012

On the Homogeneous Ensembling with Balanced Random Sets and Boosting.
Proceedings of the Rough Sets and Current Trends in Computing, 2012

A nonparametric criterion for the selection of the number of factors and nonnegative extension for gradient-based matrix factorization.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Control System with High Robust Stability Characteristics Based on Catastrophe Function.
Proceedings of the 17th IEEE International Conference on Engineering of Complex Computer Systems, 2012

2011
Classification of High-Dimensional microarray Data with a Two-Step Procedure via a Wilcoxon Criterion and Multilayer Perceptron.
Int. J. Comput. Intell. Appl., 2011

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

Design of a control system with high robust stability characteristics.
Proceedings of the 3rd International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, 2011

Increasing Product Quality by Implementation of a Complex Automation System for Industrial Processes.
Proceedings of the Complex Systems Design & Management, 2011

2010
A Very Fast Algorithm for Matrix Factorization
CoRR, 2010

Identifying fiber bundles with regularised к-means clustering applied to the grid-based data.
Proceedings of the International Joint Conference on Neural Networks, 2010

On the Gradient-based Algorithm for Matrix Factorization Applied to Dimensionality Reduction.
Proceedings of the BIOINFORMATICS 2010, 2010

A comparative study of two matrix factorization methods applied to the classification of gene expression data.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

Classification of Imbalanced Data with Random Sets and Mean-Variance Filtering.
Proceedings of the Strategic Advancements in Utilizing Data Mining and Warehousing Technologies: New Concepts and Developments, 2010

2009
Classification of Imbalanced Marketing Data with Balanced Random Sets.
Proceedings of KDD-Cup 2009 competition, Paris, France, June 28, 2009, 2009

Penalized Principal Component Analysis of Microarray Data.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2009

Ensemble Approach for the Classification of Imbalanced Data.
Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009

2008
Random Sets Approach and its Applications.
Proceedings of the Causation and Prediction Challenge at WCCI 2008, 2008

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

2007
Merging Algorithm to Reduce Dimensionality in Application to Web-Mining.
Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007

2006
On the Universal Clustering under a Broad Class of Loss Functions.
Int. J. Neural Syst., 2006

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

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

Learning with Mean-Variance Filtering, SVM and Gradient-based Optimization.
Proceedings of the International Joint Conference on Neural Networks, 2006

Dimensional reduction of web traffic data.
Proceedings of the Data Mining, 2006

Threshold-based clustering for intrusion detection systems.
Proceedings of the Data Mining, 2006

2005
Universal Clustering with Regularization in Probabilistic Space.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005

Universal Clustering with Family of Power Loss Functions in Probabilistic Space.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2005

Parametric model-based clustering.
Proceedings of the Data Mining, 2005

2004
Multiresolution image retrieval through fusion.
Proceedings of the Storage and Retrieval Methods and Applications for Multimedia 2004, 2004

2003
A Pspice Optimal Design Tool Utilizing Genetic Optimization.
Proceedings of the IASTED International Conference on Modelling and Simulation (MS 2003), 2003

1998
Optimal Periodic Control with Environmental Application.
Proceedings of the Tasks and Methods in Applied Artificial Intelligence, 1998


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