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Mikhail Petrovskiy
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2020 – today
- 2022
- [j5]Iulii Vasilev
, Mikhail Petrovskiy
Predicting COVID-19-Induced Lung Damage Based on Machine Learning Methods. Program. Comput. Softw. 48(4): 243-255 (2022) - [c21]Iulii Vasilev
Adaptive Sampling for Weighted Log-Rank Survival Trees Boosting. ICPRAM (Revised Selected Papers) 2022: 98-115 - [c20]Iulii Vasilev
Survival Analysis Algorithms based on Decision Trees with Weighted Log-rank Criteria. ICPRAM 2022: 132-140 - 2021
- [c19]Maksim Zhuravskii, Maria Kazachuk
Continuous Keystroke Dynamics-Based User Authentication Using Modified Hausdorff Distance. DASFAA (Workshops) 2021: 223-236 - 2020
- [c18]Viktor Morozov, Mikhail Petrovskiy
An Approach for Complex Event Streams Processing and Forecasting. FRUCT 2020: 305-313
2010 – 2019
- 2019
- [j4]Igor V. Mashechkin, Mikhail Petrovskiy
Machine Learning Methods for Detecting and Monitoring Extremist Information on the Internet. Program. Comput. Softw. 45(3): 99-115 (2019) - 2018
- [c17]Maria Kazachuk
Novelty Detection Using Elliptical Fuzzy Clustering in a Reproducing Kernel Hilbert Space. IDEAL (2) 2018: 221-232 - 2017
- [c16]Oleg Gorokhov
Convolutional Neural Networks for Unsupervised Anomaly Detection in Text Data. IDEAL 2017: 500-507 - [c15]Mikhail Petrovskiy
Pattern Based Information Retrieval Approach to Discover Extremist Information on the Internet. MIKE 2017: 240-249 - 2016
- [c14]Maria Kazachuk
One-Class Models for Continuous Authentication Based on Keystroke Dynamics. IDEAL 2016: 416-425 - 2015
- [j3]Igor V. Mashechkin, Mikhail Petrovskiy
Applying text mining methods for data loss prevention. Program. Comput. Softw. 41(1): 23-30 (2015) - 2014
- [c13]Dmitry V. Tsarev, Roman Kurynin
Applying non-negative matrix factorization methods to discover user;s resource access patterns for computer security tasks. HIS 2014: 43-48 - [c12]Vladislav Kaganov, Andrey Korolyov, Mikhail Krylov, Igor V. Mashechkin, Mikhail Petrovskiy
Hybrid method for active authentication using keystroke dynamics. HIS 2014: 61-66 - 2011
- [j2]Igor V. Mashechkin, Mikhail Petrovskiy
Automatic text summarization using latent semantic analysis. Program. Comput. Softw. 37(6): 299-305 (2011) - [c11]Dmitry V. Tsarev, Mikhail Petrovskiy
Using NMF-based text summarization to improve supervised and unsupervised classification. HIS 2011: 185-189
2000 – 2009
- 2006
- [c10]Mikhail Petrovskiy, Valentina Glazkova:
Linear Methods for Reduction from Ranking to Multilabel Classification. Australian Conference on Artificial Intelligence 2006: 1152-1156 - [c9]Mikhail Petrovskiy:
Paired Comparisons Method for Solving Multi-Label Learning Problem. HIS 2006: 42 - [c8]Mikhail Petrovskiy:
A data mining approach to learning probabilistic user behavior models from database access log. ICSOFT (2) 2006: 73-78 - [c7]Mikhail Petrovskiy:
A Data Mining Approach to Learning Probabilistic User Behavior Models from Database Access Log. ICSOFT (Selected Papers) 2006: 323-332 - 2005
- [c6]Mikhail Petrovskiy
Probability Estimation in Error Correcting Output Coding Framework Using Game Theory. Australian Conference on Artificial Intelligence 2005: 186-196 - [c5]Igor V. Mashechkin, Mikhail Petrovskiy, Andrey Rozinkin:
Enterprise Anti-Spam Solution Based on Machine Learning Approach. ICEIS (2) 2005: 188-193 - 2004
- [c4]Mikhail Petrovskiy:
A game theory approach to pairwise classification with support vector machines. ICMLA 2004: 115-122 - 2003
- [j1]Mikhail Petrovskiy
Outlier Detection Algorithms in Data Mining Systems. Program. Comput. Softw. 29(4): 228-237 (2003) - [c3]Mikhail Petrovskiy:
A Hybrid Method for Patterns Mining and Outliers Detection in the Web Usage Log. AWIC 2003: 318-328 - [c2]Mikhail Petrovskiy:
Convolution Kernels for Outliers Detection in Relational Data. IDEAL 2003: 661-668 - [c1]Mikhail Petrovskiy:
A Fuzzy Kernel-Based Method for Real-Time Network Intrusion Detection. IICS 2003: 189-200
Coauthor Index
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