| QuickBlaze: early fire detection using a combined video processing approach WS Qureshi, M Ekpanyapong, MN Dailey, S Rinsurongkawong, ... Fire technology 52, 1293-1317, 2016 | 83 | 2016 |
| A Bayesian approach to sparse learning-to-rank for search engine optimization O Krasotkina, V Mottl Machine Learning and Data Mining in Pattern Recognition: 11th International …, 2015 | 20 | 2015 |
| Combining pattern recognition modalities at the sensor level via kernel fusion V Mottl, A Tatarchuk, V Sulimova, O Krasotkina, O Seredin Multiple Classifier Systems: 7th International Workshop, MCS 2007, Prague …, 2007 | 19 | 2007 |
| Feature selection for handling concept drift in the data stream classification P Turkov, O Krasotkina, V Mottl, A Sychugov Machine Learning and Data Mining in Pattern Recognition: 12th International …, 2016 | 15 | 2016 |
| Dynamic analysis of hedge funds M Markov, I Muchnik, V Mottl, O Krasotkina The 3rd IASTED International Conference on Financial Engineering and …, 2006 | 15 | 2006 |
| Time-varying regression model with unknown time-volatility for nonstationary signal analysis M Markov, O Krasotkina, V Mottl, I Muchnik Proceedings of the 8th IASTED International Conference on Signal and Image …, 2006 | 15 | 2006 |
| Bayesian approach to the pattern recognition problem in nonstationary environment OV Krasotkina, VV Mottl, PA Turkov Lecture notes in Computer Science, 24-29, 2011 | 12 | 2011 |
| Principles of multi-kernel data mining V Mottl, O Krasotkina, O Seredin, I Muchnik International Workshop on Machine Learning and Data Mining in Pattern …, 2005 | 11 | 2005 |
| Kernel fusion and feature selection in machine learning V Mottl, O Krasotkina, O Seredin, I Muchnik Proceedings of the 8th IASTED International Conference on Intelligent …, 2005 | 10 | 2005 |
| Dynamic programming algorithms for analysis of nonstationary signals AA Kostin, OV Krasotkina, MR Markov, VV Mottl, IB Muchnik Computational Mathematics and Mathematical Physics 44 (1), 62-77, 2004 | 10 | 2004 |
| Алгоритмы динамического программирования для анализа нестационарных сигналов AA Костин, ОВ Красоткина, МВ Марков, ВВ Моттль, ИБ Мучник Журнал вычислительной математики и математической физики 44 (1), 70-86, 2004 | 9 | 2004 |
| Fast global image denoising algorithm on the basis of nonstationary gamma-normal statistical model I Gracheva, A Kopylov, O Krasotkina Analysis of Images, Social Networks and Texts: 4th International Conference …, 2015 | 8 | 2015 |
| Dynamic programming for bayesian logistic regression learning under concept drift P Turkov, O Krasotkina, V Mottl Lecture notes in Computer Science // International Conference on Pattern …, 2013 | 8 | 2013 |
| A bayesian approach to sparse cox regression in high-dimentional survival analysis O Krasotkina, V Mottl International Workshop on Machine Learning and Data Mining in Pattern …, 2015 | 7 | 2015 |
| Real-time smoke detection in video sequences: Combined approach M Anton, K Olga Pattern Recognition and Machine Intelligence: 5th International Conference …, 2013 | 7 | 2013 |
| A signal processing algorithm based on parametric dynamic programming A Kopylov, O Krasotkina, O Pryimak, V Mottl Lecture Notes in Computer Sciencе, 280-286, 2010 | 7 | 2010 |
| Automatic Rail Flaw Localization and Recognition by Featureless Ultrasound Signal Analysis V Sulimova, A Zhukov, O Krasotkina, V Mottl, A Markov Lecture Notes in Computer Science, 16-27, 2018 | 6 | 2018 |
| Compactness hypothesis, potential functions, and rectifying linear space in machine learning V Mottl, O Seredin, O Krasotkina Braverman Readings in Machine Learning. Key Ideas from Inception to Current …, 2018 | 6 | 2018 |
| Constrained Regularized Regression Model Search in Large Sets of Regressors O Krasotkina, M Markov, V Mottl, I Pugach, D Babichev, A Morozov Lecture notes in Computer Science, 394-408, 2018 | 5 | 2018 |
| Methods of Hyperparameter Estimation in Time-Varying Regression Models with Application to Dynamic Style Analysis of Investment Portfolios O Krasotkina, V Mottl, M Markov, E Chernousova, D Malakhov Lecture notes in Computer Science// Machine Learning and Data Mining in …, 2017 | 5 | 2017 |
Oleg SeredinAssociate Professor, Leading Researcher, Tula State UniversityVerified email at tsu.tula.ru