Olga Krasotkina

According to our database1, Olga Krasotkina authored at least 24 papers between 2005 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Differential Leave-One-Out Cross-Validation for Feature Selection in Generalized Linear Dependence Models.
Proceedings of the ITCC 2021: 3rd International Conference on Information Technology and Computer Communications, Guangzhou, China, June 23, 2021

2019
Sparse Multimodal Classification of EEG Signals from Rapid Serial Visual Presentation of Diagnostic Images.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2019

Linear complexity algorithms for high dimensional SVM and regression problems with smart sparse regularization.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2019

2018
Automatic Rail Flaw Localization and Recognition by Featureless Ultrasound Signal Analysis.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018

Constrained Regularized Regression Model Search in Large Sets of Regressors.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018

2017
Methods of Hyperparameter Estimation in Time-Varying Regression Models with Application to Dynamic Style Analysis of Investment Portfolios.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2017

Compactness Hypothesis, Potential Functions, and Rectifying Linear Space in Machine Learning.
Proceedings of the Braverman Readings in Machine Learning. Key Ideas from Inception to Current State, 2017

2016
Sparse logistic regression with supervised selectivity for predictors selection in credit scoring.
Proceedings of the Seventh Symposium on Information and Communication Technology, 2016

Feature Selection for Handling Concept Drift in the Data Stream Classification.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016

Multi-class Classification in Big Data.
Proceedings of the Supplementary Proceedings of the Fifth International Conference on Analysis of Images, 2016

2015
A Bayesian Approach to Sparse Cox Regression in High-Dimentional Survival Analysis.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2015

A Bayesian Approach to Sparse Learning-to-Rank for Search Engine Optimization.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2015

Supervised Selective Combination of Diverse Object-Representation Modalities for Regression Estimation.
Proceedings of the Multiple Classifier Systems - 12th International Workshop, 2015

Fast Global Image Denoising Algorithm on the Basis of Nonstationary Gamma-Normal Statistical Model.
Proceedings of the Analysis of Images, Social Networks and Texts, 2015

2014
An Automatic Matching Procedure of Ultrasonic Railway Defectograms.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2014

2013
Dynamic Programming for Bayesian Logistic Regression Learning under Concept Drift.
Proceedings of the Pattern Recognition and Machine Intelligence, 2013

Real-Time Smoke Detection in Video Sequences: Combined Approach.
Proceedings of the Pattern Recognition and Machine Intelligence, 2013

2012
Bayesian Approach to the Concept Drift in the Pattern Recognition Problems.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2012

The Bayesian logistic regression in pattern recognition problems under concept drift.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011
Bayesian Approach to the Pattern Recognition Problem in Nonstationary Environment.
Proceedings of the Pattern Recognition and Machine Intelligence, 2011

2010
A Signal Processing Algorithm Based on Parametric Dynamic Programming.
Proceedings of the Image and Signal Processing, 4th International Conference, 2010

2008
Adaptive nonstationary regression analysis.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007
Combining Pattern Recognition Modalities at the Sensor Level Via Kernel Fusion.
Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

2005
Principles of Multi-kernel Data Mining.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005


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