Research Output per year
Research Output per year
Personal profile
Research Interests
Professor Balasanov's primary expertise and research interests are in the areas of stochastic modeling, advanced data analysis and AI, digital transformation, risk evaluation and decision making under uncertainty.
Education/Academic qualification
Applied Mathematics, MS, Lomonosov Moscow State University
Probability Theory and Mathematical Statistics, PhD, Lomonosov Moscow State University
Fingerprint
Dive into the research topics where Yuri G Balasanov is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Factors Associated With Health-Related Quality of Life in People Living With Partial Foot or Transtibial Amputation
Dillon, M. P., Quigley, M., Stevens, P., Balasanov, Y. & Anderson, S. P., Oct 2020, In: Archives of physical medicine and rehabilitation. 101, 10, p. 1711-1719 9 p.Research output: Contribution to journal › Article › peer-review
8 Scopus citations -
Predict the Medicare Functional Classification Level (K-level) using the Amputee Mobility Predictor in people with unilateral transfemoral and transtibial amputation: A pilot study
Dillon, M. P., Major, M. J., Kaluf, B., Balasanov, Y. & Fatone, S., Apr 1 2018, In: Prosthetics and Orthotics International. 42, 2, p. 191-197 7 p.Research output: Contribution to journal › Article › peer-review
28 Scopus citations -
Dynamic performance management of big data clusters
Zibitsker, B., Lupersolsky, A., Heger, D., Balasanov, Y. & Manivassakam, M., 2017.Research output: Contribution to conference › Paper › peer-review
1 Scopus citations -
Selection of machine learning algorithms and libraries for big data applications
Zibitsker, B., Lupersolsky, A., Heger, D., Balasanov, Y., Wen, J., Bian, M., Shi, Z. & Li, Z., 2017.Research output: Contribution to conference › Paper › peer-review
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Estimating risk of dynamic trading strategies from high frequency data flow
Balasanov, Y., Doynikov, A., Lavrent’ev, V. & Nazarov, L., 2015, Advances in Data Mining: Applications and Theoretical Aspects - 15th Industrial Conference, ICDM 2015, Proceedings. Perner, P. (ed.). Springer Verlag, p. 153-165 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9165).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations