Olga Krasotkina

24 papers B 2C 1Misc 1Unranked 20
YearRankTypeTitle / Venue / Authors
2021 — conf
Differential Leave-One-Out Cross-Validation for Feature Selection in Generalized Linear Dependence Models.
ITCC
Alexey Morozov, Brian Angulo, Vadim Mottl, Alexander Tatarchuk, Olga Krasotkina
2019 — conf
Linear complexity algorithms for high dimensional SVM and regression problems with smart sparse regularization.
MLDM (1)
Vadim Mottl, Olga Krasotkina, Valentina Sulimova, Alexey Morozov, Ilya Pugach, Alexander Tatarchuk
2019 — conf
Sparse Multimodal Classification of EEG Signals from Rapid Serial Visual Presentation of Diagnostic Images.
MLDM (1)
Valentina Sulimova, Sergey Bukhonov, Olga Krasotkina, Vadim Mottl, Annette Sterr, Kevin Wells, David Windridge
2018 — conf
Automatic Rail Flaw Localization and Recognition by Featureless Ultrasound Signal Analysis.
MLDM (1)
Valentina Sulimova, Alexander Zhukov, Olga Krasotkina, Vadim Mottl, Anatoly Markov
2018 — conf
Constrained Regularized Regression Model Search in Large Sets of Regressors.
MLDM (2)
Olga Krasotkina, Michael Markov, Vadim Mottl, Ilya Pugach, Dmitry Babichev, Alexey Morozov
2017 — conf
Compactness Hypothesis, Potential Functions, and Rectifying Linear Space in Machine Learning.
Braverman Readings in Machine Learning
Vadim Mottl, Oleg Seredin, Olga Krasotkina
2017 — conf
Methods of Hyperparameter Estimation in Time-Varying Regression Models with Application to Dynamic Style Analysis of Investment Portfolios.
MLDM
Olga Krasotkina, Vadim Mottl, Michael Markov, Elena Chernousova, Dmitry Malakhov
2016 — conf
Feature Selection for Handling Concept Drift in the Data Stream Classification.
MLDM
Pavel A. Turkov, Olga Krasotkina, Vadim Mottl, Alexey Sychugov
2016 — conf
Multi-class Classification in Big Data.
AIST (Supplement)
Anton Malenichev, Olga Krasotkina, Vadim Mottl, Oleg Seredin
2016 — conf
Sparse logistic regression with supervised selectivity for predictors selection in credit scoring.
SoICT
Zhosan Yulia, Olga Krasotkina, Vadim Mottl
2015 — conf
A Bayesian Approach to Sparse Cox Regression in High-Dimentional Survival Analysis.
MLDM
Olga Krasotkina, Vadim Mottl
2015 — conf
A Bayesian Approach to Sparse Learning-to-Rank for Search Engine Optimization.
MLDM
Olga Krasotkina, Vadim Mottl
2015 Misc conf
Fast Global Image Denoising Algorithm on the Basis of Nonstationary Gamma-Normal Statistical Model.
AIST
Inessa Gracheva, Andrey Kopylov, Olga Krasotkina
2015 — conf
Supervised Selective Combination of Diverse Object-Representation Modalities for Regression Estimation.
MCS
Olga Krasotkina, Oleg Seredin, Vadim Mottl
2014 — conf
An Automatic Matching Procedure of Ultrasonic Railway Defectograms.
MLDM
Anton Malenichev, Valentina Sulimova, Olga Krasotkina, Vadim Mottl, Anatoly Markov
2013 — conf
Dynamic Programming for Bayesian Logistic Regression Learning under Concept Drift.
PReMI
Pavel A. Turkov, Olga Krasotkina, Vadim Mottl
2013 — conf
Real-Time Smoke Detection in Video Sequences: Combined Approach.
PReMI
Anton Malenichev, Olga Krasotkina
2012 — conf
Bayesian Approach to the Concept Drift in the Pattern Recognition Problems.
MLDM
Pavel A. Turkov, Olga Krasotkina, Vadim Mottl
2012 B conf
The Bayesian logistic regression in pattern recognition problems under concept drift.
ICPR
Pavel A. Turkov, Olga Krasotkina, Vadim Mottl
2011 — conf
Bayesian Approach to the Pattern Recognition Problem in Nonstationary Environment.
PReMI
Olga Krasotkina, Vadim Mottl, Pavel A. Turkov
2010 C conf
A Signal Processing Algorithm Based on Parametric Dynamic Programming.
ICISP
Andrey Kopylov, Olga Krasotkina, Oleksandr Pryimak, Vadim Mottl
2008 B conf
Adaptive nonstationary regression analysis.
ICPR
Olga Krasotkina, Vadim Mottl
2007 — conf
Combining Pattern Recognition Modalities at the Sensor Level Via Kernel Fusion.
MCS
Vadim Mottl, Alexander Tatarchuk, Valentina Sulimova, Olga Krasotkina, Oleg Seredin
2005 — conf
Principles of Multi-kernel Data Mining.
MLDM
Vadim Mottl, Olga Krasotkina, Oleg Seredin, Ilya B. Muchnik