Mikhail Petrovskiy

Publication Activity (10 Years)

Years Active: 2003-2022
Publications (10 Years): 11

Top Topics

User Authentication

Novelty Detection

Factorization Methods

Keystroke Dynamics

Top Venues

Program. Comput. Softw.

Publications

Iulii Vasilev, Mikhail Petrovskiy, Igor V. Mashechkin, Liudmila L. Pankratyeva
Predicting COVID-19-Induced Lung Damage Based on Machine Learning Methods. Program. Comput. Softw. 48 (4) (2022)
Iulii Vasilev, Mikhail Petrovskiy, Igor V. Mashechkin
Adaptive Sampling for Weighted Log-Rank Survival Trees Boosting. ICPRAM (Revised Selected Papers) (2022)
Iulii Vasilev, Mikhail Petrovskiy, Igor V. Mashechkin
Survival Analysis Algorithms based on Decision Trees with Weighted Log-rank Criteria. ICPRAM (2022)
Maksim Zhuravskii, Maria Kazachuk, Mikhail Petrovskiy, Igor Mashechkin
Continuous Keystroke Dynamics-Based User Authentication Using Modified Hausdorff Distance. DASFAA (Workshops) (2021)
Viktor Morozov, Mikhail Petrovskiy
An Approach for Complex Event Streams Processing and Forecasting. FRUCT (2020)
Igor V. Mashechkin, Mikhail Petrovskiy, Dmitry V. Tsarev, Maxim N. Chikunov
Machine Learning Methods for Detecting and Monitoring Extremist Information on the Internet. Program. Comput. Softw. 45 (3) (2019)
Maria Kazachuk, Mikhail Petrovskiy, Igor Mashechkin, Oleg Gorokhov
Novelty Detection Using Elliptical Fuzzy Clustering in a Reproducing Kernel Hilbert Space. IDEAL (2) (2018)
Mikhail Petrovskiy, Dmitry V. Tsarev, Irina I. Pospelova
Pattern Based Information Retrieval Approach to Discover Extremist Information on the Internet. MIKE (2017)
Oleg Gorokhov, Mikhail Petrovskiy, Igor Mashechkin
Convolutional Neural Networks for Unsupervised Anomaly Detection in Text Data. IDEAL (2017)
Maria Kazachuk, Alexander Kovalchuk, Igor Mashechkin, Igor Orpanen, Mikhail Petrovskiy, Ivan Popov, Roman Zakliakov
One-Class Models for Continuous Authentication Based on Keystroke Dynamics. IDEAL (2016)
Igor Mashechkin, Mikhail Petrovskiy, D. S. Popov, Dmitry V. Tsarev
Applying text mining methods for data loss prevention. Program. Comput. Softw. 41 (1) (2015)
Vladislav Kaganov, Andrey Korolyov, Mikhail Krylov, Igor Mashechkin, Mikhail Petrovskiy
Hybrid method for active authentication using keystroke dynamics. HIS (2014)
Dmitry V. Tsarev, Roman Kurynin, Mikhail Petrovskiy, Igor Mashechkin
Applying non-negative matrix factorization methods to discover user;s resource access patterns for computer security tasks. HIS (2014)
Igor Mashechkin, Mikhail Petrovskiy, D. S. Popov, Dmitry V. Tsarev
Automatic text summarization using latent semantic analysis. Program. Comput. Softw. 37 (6) (2011)
Dmitry V. Tsarev, Mikhail Petrovskiy, Igor Mashechkin
Using NMF-based text summarization to improve supervised and unsupervised classification. HIS (2011)
Mikhail Petrovskiy
A data mining approach to learning probabilistic user behavior models from database access log. ICSOFT (2) (2006)
Mikhail Petrovskiy
A Data Mining Approach to Learning Probabilistic User Behavior Models from Database Access Log. ICSOFT (Selected Papers) (2006)
Mikhail Petrovskiy, Valentina Glazkova
Linear Methods for Reduction from Ranking to Multilabel Classification. Australian Conference on Artificial Intelligence (2006)
Mikhail Petrovskiy
Paired Comparisons Method for Solving Multi-Label Learning Problem. HIS (2006)
Igor Mashechkin, Mikhail Petrovskiy, Andrey Rozinkin
Enterprise Anti-Spam Solution Based on Machine Learning Approach. ICEIS (2) (2005)
Mikhail Petrovskiy
Probability Estimation in Error Correcting Output Coding Framework Using Game Theory. Australian Conference on Artificial Intelligence (2005)
Mikhail Petrovskiy
A game theory approach to pairwise classification with support vector machines. ICMLA (2004)
Mikhail Petrovskiy
A Hybrid Method for Patterns Mining and Outliers Detection in the Web Usage Log. AWIC (2003)
Mikhail Petrovskiy
Convolution Kernels for Outliers Detection in Relational Data. IDEAL (2003)
Mikhail Petrovskiy
A Fuzzy Kernel-Based Method for Real-Time Network Intrusion Detection. IICS (2003)
Mikhail Petrovskiy
Outlier Detection Algorithms in Data Mining Systems. Program. Comput. Softw. 29 (4) (2003)