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Barinova O, Shapovalov R, Sudakov S, Velizhev A. Online Random Forest for Interactive Image Segmentation. In: International Workshop on Experimental Economics and Machine Learning. Leuven, BE; 2012. Abstract
Tretiak E, Barinova O, Kohli P, Lempitsky V. Geometric image parsing in man-made environments. IJCV. 2011.
Barinova O, Lempitsky V, Kohli P. On detection of multiple object instances using Hough transform. In: Computer Vision and Pattern Recognition.; 2010. Abstract
Barinova O, Gavrishchaka V. Generic Regularization of Boosting-Based Optimization for the Discovery of Regime-Independent Trading Strategies from High-Noise Time Series. ICIC Express Letters. 2010.
Barinova O, Lempitsky V, Tretiak E, Kohli P. Geometric Image Parsing in Man‐Made Environments. In: European Conference on Computer Vision.; 2010.
Shapovalov R, Velizhev A, Barinova O. Non-Associative Markov Networks for 3D Point Cloud Classification. In: Photogrammetric Computer Vision and Image Analysis. Paris: ISPRS; 2010. Abstract
Barinova O, Vetrov D. ODDboost: Incorporating posterior estimates into AdaBoost . Lecture Notes in Computer Science. 2009;5632/2009:178-90.
Barinova O. Incorporating posterior estimates into AdaBoost. Pattern Recognition and Image Analysis. 2009;19(3):421-34.
Barinova O, Gavrishchaka V. Generic regularization of boosting-based algorithms for the discovery of regime-independent portfolio strategies from high-noise time series. In: The Fourth International Conference on Innovative Computing, Information and Control.; 2009.
Barinova O, Shapovalov R, Sudakov S, Velizhev A, Konushin A. Efficient Road Mapping via Interactive Image Segmentation. In: Object Extraction for 3D City Models, Road Databases and Traffic Monitoring (CMRT). Vol XXXVIII.; 2009. Abstract
Sudakov S, Barinova O, Velizhev A, Konushin A. Semantic segmentation of road images based on cascade classifiers. In: Proceedings of PRIA.; 2008.
Barinova O, Konushin V, Yakubenko A, Lim H, Lee K, Konushin A. Fast automatic single-view 3-d reconstruction of urban scenes. In: Proceedings of European Conference of Computer Vision.; 2008.
Gavrishchaka V, Barinova O, Vezhnevets A, Monina M. Discovery of multi-component portfolio strategies with continuous tuning to the changing market micro-regimes using input-dependent boosting. In: Computational Finance and its Applications III.; 2008.
Barinova O, Gavrishchaka V. Removal of confusing training samples as a generic mechanism to improve and diversify trading strategies discovered by boosting-based optimisation. In: Proceedings of Computational Intelligence in Economics and Finance.; 2008.
Vezhnevets A, Barinova O. Avoiding Boosting Overfitting by Removing 'Confusing Samples'. In: European Conference on Machine Learning ECML. Springer; 2007. p. 430-41.
Barinova O, Kuzmishkina A, Vezhnevets A, Vezhnevets V. Learning class specific edges for vanishing point estimation. In: Graphicon.; 2007.