Mikhail Petrovskiy

According to our database, Mikhail Petrovskiy authored at least 25 papers between 2003 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Predicting COVID-19-Induced Lung Damage Based on Machine Learning Methods.

Iulii Vasilev, Mikhail Petrovskiy, Igor V. Mashechkin, Liudmila L. Pankratyeva

Program. Comput. Softw., 2022

Adaptive Sampling for Weighted Log-Rank Survival Trees Boosting.

Iulii Vasilev, Mikhail Petrovskiy, Igor V. Mashechkin

Proceedings of the Pattern Recognition Applications and Methods, 2022

Survival Analysis Algorithms based on Decision Trees with Weighted Log-rank Criteria.

Iulii Vasilev, Mikhail Petrovskiy, Igor V. Mashechkin

Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022

2021

Continuous Keystroke Dynamics-Based User Authentication Using Modified Hausdorff Distance.

Maksim Zhuravskii, Maria Kazachuk, Mikhail Petrovskiy, Igor V. Mashechkin

Proceedings of the Database Systems for Advanced Applications. DASFAA 2021 International Workshops, 2021

2020

An Approach for Complex Event Streams Processing and Forecasting.

Viktor Morozov, Mikhail Petrovskiy

Proceedings of the 26th Conference of Open Innovations Association, 2020

2019

Machine Learning Methods for Detecting and Monitoring Extremist Information on the Internet.

Igor V. Mashechkin, Mikhail Petrovskiy, Dmitry V. Tsarev, Maxim N. Chikunov

Program. Comput. Softw., 2019

2018

Novelty Detection Using Elliptical Fuzzy Clustering in a Reproducing Kernel Hilbert Space.

Maria Kazachuk, Mikhail Petrovskiy, Igor V. Mashechkin, Oleg Gorokhov

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

2017

Pattern Based Information Retrieval Approach to Discover Extremist Information on the Internet.

Mikhail Petrovskiy, Dmitry V. Tsarev, Irina I. Pospelova

Proceedings of the Mining Intelligence and Knowledge Exploration, 2017

Convolutional Neural Networks for Unsupervised Anomaly Detection in Text Data.

Oleg Gorokhov, Mikhail Petrovskiy, Igor V. Mashechkin

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30, 2017

2016

One-Class Models for Continuous Authentication Based on Keystroke Dynamics.

Maria Kazachuk, Alexander Kovalchuk, Igor V. Mashechkin, Igor Orpanen, Mikhail Petrovskiy, Ivan Popov, Roman Zakliakov

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016

2015

Applying text mining methods for data loss prevention.

Igor V. Mashechkin, Mikhail Petrovskiy, D. S. Popov, Dmitry V. Tsarev

Program. Comput. Softw., 2015

2014

Applying non-negative matrix factorization methods to discover user;s resource access patterns for computer security tasks.

Dmitry V. Tsarev, Roman Kurynin, Mikhail Petrovskiy, Igor V. Mashechkin

Proceedings of the 14th International Conference on Hybrid Intelligent Systems, 2014

Hybrid method for active authentication using keystroke dynamics.

Vladislav Kaganov, Andrey Korolyov, Mikhail Krylov, Igor V. Mashechkin, Mikhail Petrovskiy

Proceedings of the 14th International Conference on Hybrid Intelligent Systems, 2014

2011

Automatic text summarization using latent semantic analysis.

Igor V. Mashechkin, Mikhail Petrovskiy, D. S. Popov, Dmitry V. Tsarev

Program. Comput. Softw., 2011

Using NMF-based text summarization to improve supervised and unsupervised classification.

Dmitry V. Tsarev, Mikhail Petrovskiy, Igor V. Mashechkin

Proceedings of the 11th International Conference on Hybrid Intelligent Systems, 2011

2006

A Data Mining Approach to Learning Probabilistic User Behavior Models from Database Access Log.

Mikhail Petrovskiy

Proceedings of the Software and Data Technologies - First International Conference, 2006

Paired Comparisons Method for Solving Multi-Label Learning Problem.

Mikhail Petrovskiy

Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS 2006), 2006

Linear Methods for Reduction from Ranking to Multilabel Classification.

Mikhail Petrovskiy, Valentina Glazkova

Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

2005

Enterprise Anti-Spam Solution Based on Machine Learning Approach.

Igor V. Mashechkin, Mikhail Petrovskiy, Andrey Rozinkin

Proceedings of the ICEIS 2005, 2005

Probability Estimation in Error Correcting Output Coding Framework Using Game Theory.

Mikhail Petrovskiy

Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

2004

A game theory approach to pairwise classification with support vector machines.

Mikhail Petrovskiy

Proceedings of the 2004 International Conference on Machine Learning and Applications, 2004

2003

Outlier Detection Algorithms in Data Mining Systems.

Mikhail Petrovskiy

Program. Comput. Softw., 2003

A Fuzzy Kernel-Based Method for Real-Time Network Intrusion Detection.

Mikhail Petrovskiy

Proceedings of the Innovative Internet Community Systems, Third International Workshop, 2003

Convolution Kernels for Outliers Detection in Relational Data.

Mikhail Petrovskiy

Proceedings of the Intelligent Data Engineering and Automated Learning, 2003

A Hybrid Method for Patterns Mining and Outliers Detection in the Web Usage Log.

Mikhail Petrovskiy

Proceedings of the Web Intelligence, 2003