Extensions of Dynamic Programming Machine Learning Discrete Optimization

“Predicting the Stability of Hydrogen Bonds in Protein Conformations Using Decision Tree Learning Methods”, 2009-2010

Project of KAUST - Stanford AEA Program

“High Performance Computing in Machine Learning for Analysis of Large Datasets”, 2010-2011

Project of Russian Federal Program Scientific Research and Educational Workforce of Innovative Russia

“Novel Algorithms in Machine Learning and Computer Vision, and Their High Performance Implementations”, 2011-2013

Project of Russian Federal Program Research and Development in Prioritized Directions of Scientific-Technological Complex of Russia in 2007–2013

"Combinatorial Machine Learning: A Rough Set Approach" - Book preparation

Preparation of the book M. Moshkov, B. Zielosko, Combinatorial Machine Learning: A Rough Set Approach, Series Studies in Computational Intelligence, Vol. 360, 178 p., Springer, 2011

"Average Time Complexity of Decision Trees" - Book preparation

Preparation of the book I. Chikalov, Average Time Complexity of Decision Trees, Series Intelligent Systems Reference Library, Vol. 21, 104 p., Springer, 2011

“Three Approaches to Data Analysis”, 2011–2012

Initiative Project

Research