Graphics and Media Lab | CMC department, Lomonosov Moscow State University

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.

Vezhnevets A, Vezhnevets V. Learnable Sweden-Wang Cuts for Image Segmentation. In: GraphiCon .; 2007. p. 96-103.

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.

Vezhnevets A, Vezhnevets V. Modest AdaBoost’ – Teaching AdaBoost to Generalize Better. In: GraphiCon . Novosibirsk Akademgorodok, Russia; 2005.

Konushin A, Gaganov V, Vezhnevets A. Combined Guided Tracking and Matching with Adaptive Track Initialization. In: GraphiCon . Novosibirsk Akademgorodok, Russia; 2005.