Principles of Multi-kernel Data Mining. - Vadim Mottl; Olga Krasotkina; Oleg Seredin; Ilya B. Muchnik (MLDM, 2005)

Combining Pattern Recognition Modalities at the Sensor Level Via Kernel Fusion. - Vadim Mottl; Alexander Tatarchuk; Valentina Sulimova; Olga Krasotkina; Oleg Seredin (MCS, 2007)

Adaptive nonstationary regression analysis. - Olga Krasotkina; Vadim Mottl (ICPR, 2008)

A Signal Processing Algorithm Based on Parametric Dynamic Programming. - Andrey Kopylov; Olga Krasotkina; Oleksandr Pryimak; Vadim Mottl (ICISP, 2010)

Bayesian Approach to the Pattern Recognition Problem in Nonstationary Environment. - Olga Krasotkina; Vadim Mottl; Pavel A. Turkov (PReMI, 2011)

The Bayesian logistic regression in pattern recognition problems under concept drift. - Pavel A. Turkov; Olga Krasotkina; Vadim Mottl (ICPR, 2012)

Bayesian Approach to the Concept Drift in the Pattern Recognition Problems. - Pavel A. Turkov; Olga Krasotkina; Vadim Mottl (MLDM, 2012)

Real-Time Smoke Detection in Video Sequences: Combined Approach. - Anton Malenichev; Olga Krasotkina (PReMI, 2013)

Dynamic Programming for Bayesian Logistic Regression Learning under Concept Drift. - Pavel A. Turkov; Olga Krasotkina; Vadim Mottl (PReMI, 2013)

An Automatic Matching Procedure of Ultrasonic Railway Defectograms. - Anton Malenichev; Valentina Sulimova; Olga Krasotkina; Vadim Mottl; Anatoly Markov (MLDM, 2014)

Fast Global Image Denoising Algorithm on the Basis of Nonstationary Gamma-Normal Statistical Model. - Inessa Gracheva; Andrey Kopylov; Olga Krasotkina (AIST, 2015)

Supervised Selective Combination of Diverse Object-Representation Modalities for Regression Estimation. - Olga Krasotkina; Oleg Seredin; Vadim Mottl (MCS, 2015)

A Bayesian Approach to Sparse Learning-to-Rank for Search Engine Optimization. - Olga Krasotkina; Vadim Mottl (MLDM, 2015)

A Bayesian Approach to Sparse Cox Regression in High-Dimentional Survival Analysis. - Olga Krasotkina; Vadim Mottl (MLDM, 2015)

Multi-class Classification in Big Data. - Anton Malenichev; Olga Krasotkina; Vadim Mottl; Oleg Seredin (AIST (Supplement), 2016)

Feature Selection for Handling Concept Drift in the Data Stream Classification. - Pavel A. Turkov; Olga Krasotkina; Vadim Mottl; Alexey Sychugov (MLDM, 2016)

Sparse logistic regression with supervised selectivity for predictors selection in credit scoring. - Zhosan Yulia; Olga Krasotkina; Vadim Mottl (SoICT, 2016)

Compactness Hypothesis, Potential Functions, and Rectifying Linear Space in Machine Learning. - Vadim Mottl; Oleg Seredin; Olga Krasotkina (Braverman Readings in Machine Learning, 2017)

Methods of Hyperparameter Estimation in Time-Varying Regression Models with Application to Dynamic Style Analysis of Investment Portfolios. - Olga Krasotkina; Vadim Mottl; Michael Markov; Elena Chernousova; Dmitry Malakhov (MLDM, 2017)

Constrained Regularized Regression Model Search in Large Sets of Regressors. - Olga Krasotkina; Michael Markov; Vadim Mottl; Ilya Pugach; Dmitry Babichev; Alexey Morozov (MLDM (2), 2018)

Automatic Rail Flaw Localization and Recognition by Featureless Ultrasound Signal Analysis. - Valentina Sulimova; Alexander Zhukov; Olga Krasotkina; Vadim Mottl; Anatoly Markov (MLDM (1), 2018)

Linear complexity algorithms for high dimensional SVM and regression problems with smart sparse regularization. - Vadim Mottl; Olga Krasotkina; Valentina Sulimova; Alexey Morozov; Ilya Pugach; Alexander Tatarchuk (MLDM (1), 2019)

Sparse Multimodal Classification of EEG Signals from Rapid Serial Visual Presentation of Diagnostic Images. - Valentina Sulimova; Sergey Bukhonov; Olga Krasotkina; Vadim Mottl; Annette Sterr; Kevin Wells; David Windridge (MLDM (1), 2019)

Differential Leave-One-Out Cross-Validation for Feature Selection in Generalized Linear Dependence Models. - Alexey Morozov; Brian Angulo; Vadim Mottl; Alexander Tatarchuk; Olga Krasotkina (ITCC, 2021)