| Maximum entropy principle with general deviation measures B Grechuk, A Molyboha, M Zabarankin Mathematics of Operations Research 34 (2), 445-467, 2009 | 64 | 2009 |
| Correction of AI systems by linear discriminants: Probabilistic foundations AN Gorban, A Golubkov, B Grechuk, EM Mirkes, IY Tyukin Information Sciences 466, 303-322, 2018 | 39 | 2018 |
| Risk averse decision making under catastrophic risk B Grechuk, M Zabarankin European Journal of Operational Research 239 (1), 166-176, 2014 | 35 | 2014 |
| Mean‐Deviation Analysis in the Theory of Choice B Grechuk, A Molyboha, M Zabarankin Risk Analysis: An International Journal 32 (8), 1277-1292, 2012 | 31 | 2012 |
| Inverse portfolio problem with mean-deviation model B Grechuk, M Zabarankin European Journal of Operational Research 234 (2), 481-490, 2014 | 26 | 2014 |
| Chebyshev inequalities with law-invariant deviation measures B Grechuk, A Molyboha, M Zabarankin Probability in the Engineering and Informational Sciences 24 (1), 145, 2010 | 25 | 2010 |
| Augmented artificial intelligence: a conceptual framework AN Gorban, B Grechuk, IY Tyukin arXiv preprint arXiv:1802.02172, 2018 | 17 | 2018 |
| Cooperative games with general deviation measures B Grechuk, A Molyboha, M Zabarankin Mathematical Finance: An International Journal of Mathematics, Statistics …, 2013 | 15 | 2013 |
| Inverse portfolio problem with coherent risk measures B Grechuk, M Zabarankin European Journal of Operational Research 249 (2), 740-750, 2016 | 14 | 2016 |
| Optimal risk sharing with general deviation measures B Grechuk, M Zabarankin Annals of Operations Research 200 (1), 9-21, 2012 | 14 | 2012 |
| Schur convex functionals: Fatou property and representation B Grechuk, M Zabarankin Mathematical Finance: An International Journal of Mathematics, Statistics …, 2012 | 12 | 2012 |
| Direct data-based decision making under uncertainty B Grechuk, M Zabarankin European Journal of Operational Research 267 (1), 200-211, 2018 | 11 | 2018 |
| Calculating exceedance probabilities using a distributionally robust method F Faridafshin, B Grechuk, A Naess Structural Safety 67, 132-141, 2017 | 9 | 2017 |
| The center of a convex set and capital allocation B Grechuk European Journal of Operational Research 243 (2), 628-636, 2015 | 8 | 2015 |
| A simple SSD-efficiency test B Grechuk Optimization Letters 8 (7), 2135-2143, 2014 | 8 | 2014 |
| Sensitivity analysis in applications with deviation, risk, regret, and error measures B Grechuk, M Zabarankin SIAM Journal on Optimization 27 (4), 2481-2507, 2017 | 6 | 2017 |
| Practical stochastic separation theorems for product distributions B Grechuk 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 4 | 2019 |
| General stochastic separation theorems with optimal bounds B Grechuk, AN Gorban, IY Tyukin Neural Networks 138, 33-56, 2021 | 2 | 2021 |
| A convex cover for closed unit curves has area at least 0.1 B Grechuk, S Som-am Discrete Optimization 38, 100608, 2020 | 2 | 2020 |
| Regression analysis: likelihood, error and entropy B Grechuk, M Zabarankin Mathematical Programming 174 (1), 145-166, 2019 | 2 | 2019 |
Michael ZabarankinAssociate Professor of Mathematical Sciences, Stevens Institute of TechnologyVerified email at stevens.edu
