A Hybrid Method for Patterns Mining and Outliers Detection in the Web Usage Log. - Mikhail Petrovskiy (AWIC, 2003)

Convolution Kernels for Outliers Detection in Relational Data. - Mikhail Petrovskiy (IDEAL, 2003)

A Fuzzy Kernel-Based Method for Real-Time Network Intrusion Detection. - Mikhail Petrovskiy (IICS, 2003)

Outlier Detection Algorithms in Data Mining Systems. - Mikhail Petrovskiy (Program. Comput. Softw., 2003)

A game theory approach to pairwise classification with support vector machines. - Mikhail Petrovskiy (ICMLA, 2004)

Probability Estimation in Error Correcting Output Coding Framework Using Game Theory. - Mikhail Petrovskiy (Australian Conference on Artificial Intelligence, 2005)

Enterprise Anti-Spam Solution Based on Machine Learning Approach. - Igor V. Mashechkin; Mikhail Petrovskiy; Andrey Rozinkin (ICEIS (2), 2005)

Linear Methods for Reduction from Ranking to Multilabel Classification. - Mikhail Petrovskiy; Valentina Glazkova (Australian Conference on Artificial Intelligence, 2006)

Paired Comparisons Method for Solving Multi-Label Learning Problem. - Mikhail Petrovskiy (HIS, 2006)

A data mining approach to learning probabilistic user behavior models from database access log. - Mikhail Petrovskiy (ICSOFT (2), 2006)

Using NMF-based text summarization to improve supervised and unsupervised classification. - Dmitry V. Tsarev; Mikhail Petrovskiy; Igor V. Mashechkin (HIS, 2011)

Automatic text summarization using latent semantic analysis. - Igor V. Mashechkin; Mikhail Petrovskiy; D. S. Popov; Dmitry V. Tsarev (Program. Comput. Softw., 2011)

Hybrid method for active authentication using keystroke dynamics. - Vladislav Kaganov; Andrey Korolyov; Mikhail Krylov; Igor V. Mashechkin; Mikhail Petrovskiy (HIS, 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 (HIS, 2014)

Applying text mining methods for data loss prevention. - Igor V. Mashechkin; Mikhail Petrovskiy; D. S. Popov; Dmitry V. Tsarev (Program. Comput. Softw., 2015)

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 (IDEAL, 2016)

Convolutional Neural Networks for Unsupervised Anomaly Detection in Text Data. - Oleg Gorokhov; Mikhail Petrovskiy; Igor V. Mashechkin (IDEAL, 2017)

Pattern Based Information Retrieval Approach to Discover Extremist Information on the Internet. - Mikhail Petrovskiy; Dmitry V. Tsarev; Irina I. Pospelova (MIKE, 2017)

Novelty Detection Using Elliptical Fuzzy Clustering in a Reproducing Kernel Hilbert Space. - Maria Kazachuk; Mikhail Petrovskiy; Igor V. Mashechkin; Oleg Gorokhov (IDEAL (2), 2018)

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)

An Approach for Complex Event Streams Processing and Forecasting. - Viktor Morozov; Mikhail Petrovskiy (FRUCT, 2020)

Continuous Keystroke Dynamics-Based User Authentication Using Modified Hausdorff Distance. - Maksim Zhuravskii; Maria Kazachuk; Mikhail Petrovskiy; Igor V. Mashechkin (DASFAA (Workshops), 2021)

Survival Analysis Algorithms based on Decision Trees with Weighted Log-rank Criteria. - Iulii Vasilev; Mikhail Petrovskiy; Igor V. Mashechkin (ICPRAM, 2022)

Adaptive Sampling for Weighted Log-Rank Survival Trees Boosting. - Iulii Vasilev; Mikhail Petrovskiy; Igor V. Mashechkin (ICPRAM (Revised Selected Papers), 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)

Informative right censoring in nonparametric survival models. - Iulii Vasilev; Mikhail Petrovskiy; Igor V. Mashechkin (Comput. Stat., 2025)