Olga Krasotkina

Publication Activity (10 Years)

Years Active: 2005-2021
Publications (10 Years): 14

Top Topics

Matching Procedure

Denoising Algorithm

Generalized Linear

Logistic Regression

Top Venues

Publications

Alexey Morozov, Brian Angulo, Vadim Mottl, Alexander Tatarchuk, Olga Krasotkina
Differential Leave-One-Out Cross-Validation for Feature Selection in Generalized Linear Dependence Models. ITCC (2021)
Vadim Mottl, Olga Krasotkina, Valentina Sulimova, Alexey Morozov, Ilya Pugach, Alexander Tatarchuk
Linear complexity algorithms for high dimensional SVM and regression problems with smart sparse regularization. MLDM (1) (2019)
Valentina Sulimova, Sergey Bukhonov, Olga Krasotkina, Vadim Mottl, Annette Sterr, Kevin Wells, David Windridge
Sparse Multimodal Classification of EEG Signals from Rapid Serial Visual Presentation of Diagnostic Images. MLDM (1) (2019)
Valentina Sulimova, Alexander Zhukov, Olga Krasotkina, Vadim Mottl, Anatoly Markov
Automatic Rail Flaw Localization and Recognition by Featureless Ultrasound Signal Analysis. MLDM (1) (2018)
Olga Krasotkina, Michael Markov, Vadim Mottl, Ilya Pugach, Dmitry Babichev, Alexey Morozov
Constrained Regularized Regression Model Search in Large Sets of Regressors. MLDM (2) (2018)
Vadim Mottl, Oleg Seredin, Olga Krasotkina
Compactness Hypothesis, Potential Functions, and Rectifying Linear Space in Machine Learning. Braverman Readings in Machine Learning (2017)
Olga Krasotkina, Vadim Mottl, Michael Markov, Elena Chernousova, Dmitry Malakhov
Methods of Hyperparameter Estimation in Time-Varying Regression Models with Application to Dynamic Style Analysis of Investment Portfolios. MLDM (2017)
Zhosan Yulia, Olga Krasotkina, Vadim Mottl
Sparse logistic regression with supervised selectivity for predictors selection in credit scoring. SoICT (2016)
Anton Malenichev, Olga Krasotkina, Vadim Mottl, Oleg Seredin
Multi-class Classification in Big Data. AIST (Supplement) (2016)
Pavel A. Turkov, Olga Krasotkina, Vadim Mottl, Alexey Sychugov
Feature Selection for Handling Concept Drift in the Data Stream Classification. MLDM (2016)
Olga Krasotkina, Vadim Mottl
A Bayesian Approach to Sparse Learning-to-Rank for Search Engine Optimization. MLDM (2015)
Inessa Gracheva, Andrey Kopylov, Olga Krasotkina
Fast Global Image Denoising Algorithm on the Basis of Nonstationary Gamma-Normal Statistical Model. AIST (2015)
Olga Krasotkina, Vadim Mottl
A Bayesian Approach to Sparse Cox Regression in High-Dimentional Survival Analysis. MLDM (2015)
Olga Krasotkina, Oleg Seredin, Vadim Mottl
Supervised Selective Combination of Diverse Object-Representation Modalities for Regression Estimation. MCS (2015)
Anton Malenichev, Valentina Sulimova, Olga Krasotkina, Vadim Mottl, Anatoly Markov
An Automatic Matching Procedure of Ultrasonic Railway Defectograms. MLDM (2014)
Pavel A. Turkov, Olga Krasotkina, Vadim Mottl
Dynamic Programming for Bayesian Logistic Regression Learning under Concept Drift. PReMI (2013)
Anton Malenichev, Olga Krasotkina
Real-Time Smoke Detection in Video Sequences: Combined Approach. PReMI (2013)
Pavel A. Turkov, Olga Krasotkina, Vadim Mottl
Bayesian Approach to the Concept Drift in the Pattern Recognition Problems. MLDM (2012)
Pavel A. Turkov, Olga Krasotkina, Vadim Mottl
The Bayesian logistic regression in pattern recognition problems under concept drift. ICPR (2012)
Olga Krasotkina, Vadim Mottl, Pavel A. Turkov
Bayesian Approach to the Pattern Recognition Problem in Nonstationary Environment. PReMI (2011)
Andrey Kopylov, Olga Krasotkina, Oleksandr Pryimak, Vadim Mottl
A Signal Processing Algorithm Based on Parametric Dynamic Programming. ICISP (2010)
Olga Krasotkina, Vadim Mottl
Adaptive nonstationary regression analysis. ICPR (2008)
Vadim Mottl, Alexander Tatarchuk, Valentina Sulimova, Olga Krasotkina, Oleg Seredin
Combining Pattern Recognition Modalities at the Sensor Level Via Kernel Fusion. MCS (2007)
Vadim Mottl, Olga Krasotkina, Oleg Seredin, Ilya B. Muchnik
Principles of Multi-kernel Data Mining. MLDM (2005)