Языки
Robust algorithmic detection of the developed cardiac pathologies and emerging or transient abnormalities from short periods of RR data. In: International Symposium on Computational Models for Life Sciences. Toyama, Japan; 2011. p. 215-24.
Ensemble Decomposition Learning for Optimal Utilization of Implicitly Encoded Knowledge in Biomedical Applications. In: IASTED International Conference on Computational Intelligence and Bioinformatics. Pittsburgh, USA; 2011. p. 69-73.
Multi-objective physiological indicators based on complementary complexity measures: application to early diagnostics and prediction of acute events. In: International Conference on Computer and Computational Intelligence. Bangkok, Thailand; 2011. p. 95-106.
Physiological meta-indicators for professional sports applications: express diagnostics, overtraining detection, and quantification of individual zones of optimal functioning. In: VII International scientific and practical conference for memory of P.Roudik.; 2011. p. 5-7.
Diagnostics of complex and rare abnormalities using ensemble decomposition learning. In: Diagnostics of complex and rare abnormalities using ensemble decomposition learning. Bangkok, Thailand; 2011. p. 19-26.
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.
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.
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.