| 2025 | CloudCom | SurvGAN: Generative Survival Analysis for Predictive Maintenance in Cloud Data Centers. | Iulii Vasilev, Irina Filimonova, Mikhail Petrovskiy, Igor V. Mashechkin |
| 2022 | ICPRAM | Survival Analysis Algorithms based on Decision Trees with Weighted Log-rank Criteria. | Iulii Vasilev, Mikhail Petrovskiy, Igor V. Mashechkin |
| 2022 | ICPRAM | Adaptive Sampling for Weighted Log-Rank Survival Trees Boosting. | Iulii Vasilev, Mikhail Petrovskiy, Igor V. Mashechkin |
| 2021 | DASFAA | Continuous Keystroke Dynamics-Based User Authentication Using Modified Hausdorff Distance. | Maksim Zhuravskii, Maria Kazachuk, Mikhail Petrovskiy, Igor V. Mashechkin |
| 2020 | FRUCT | An Approach for Complex Event Streams Processing and Forecasting. | Viktor Morozov, Mikhail Petrovskiy |
| 2018 | IDEAL | Novelty Detection Using Elliptical Fuzzy Clustering in a Reproducing Kernel Hilbert Space. | Maria Kazachuk, Mikhail Petrovskiy, Igor V. Mashechkin, Oleg Gorokhov |
| 2017 | IDEAL | Convolutional Neural Networks for Unsupervised Anomaly Detection in Text Data. | Oleg Gorokhov, Mikhail Petrovskiy, Igor V. Mashechkin |
| 2016 | IDEAL | 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 |
| 2014 | HIS | Hybrid method for active authentication using keystroke dynamics. | Vladislav Kaganov, Andrey Korolyov, Mikhail Krylov, Igor V. Mashechkin, Mikhail Petrovskiy |
| 2014 | HIS | 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 |
| 2011 | HIS | Using NMF-based text summarization to improve supervised and unsupervised classification. | Dmitry V. Tsarev, Mikhail Petrovskiy, Igor V. Mashechkin |
| 2006 | HIS | Paired Comparisons Method for Solving Multi-Label Learning Problem. | Mikhail Petrovskiy |
| 2006 | ICSoft | A data mining approach to learning probabilistic user behavior models from database access log. | Mikhail Petrovskiy |
| 2006 | ICSoft | A Data Mining Approach to Learning Probabilistic User Behavior Models from Database Access Log. | Mikhail Petrovskiy |
| 2004 | ICMLA | A game theory approach to pairwise classification with support vector machines. | Mikhail Petrovskiy |
| 2003 | IDEAL | Convolution Kernels for Outliers Detection in Relational Data. | Mikhail Petrovskiy |