01.01.05 (теория вероятностей и математическая статистика)
E-mail:
Ключевые слова:
блокчейн,
анализ данных,
консенсус,
оценивание многообразий.
Основные темы научной работы
блокчейн, анализ данных
Основные публикации:
Polina Mamoshina, Lucy Ojomoko, Yury Yanovich, Alex Ostrovski, Alex Botezatu, Pavel Prikhodko, Eugene Izumchenko, Alexander Aliper, Konstantin Romantsov, Alexander Zhebrak, Iraneus Obioma Ogu, Alex Zhavoronkov, “Converging blockchain and next-generation artificial intelligence technologies to decentralize and accelerate biomedical research and healthcare”, Oncotarget, 9:5 (2017), 5665-5690
Dmitry Ermilov, Maxim Panov, Yury Yanovich, “Automatic Bitcoin Address Clustering”, Machine Learning and Applications (ICMLA), 2017 16th IEEE International Conference on, 2017, 461-466
Alexander Bernstein, Alexander Kuleshov, Yury Yanovich, “Manifold Learning in Regression Tasks”, International Symposium on Statistical Learning and Data Sciences, 2015, 414-423
Alexander Kuleshov, Alexander Bernstein, Yury Yanovich, “Asymptotically optimal method for Manifold estimation problem” (the 29-th European Meeting of Statisticians), 2013, 325
Yury Yanovich, Igor Shiyanov, Timur Myaldzin, Ivan Prokhorov, Darya Korepanova, Sergey Vorobyov, “Blockchain-Based Supply Chain for Postage Stamps”, Informatics, 5:4 (2018), 42
В. А. Давыдов, С. А. Круглик, Ю. А. Янович, “Сравнение рисков банковского и равноправного кредитования”, Автомат. и телемех., 2021, № 12, 138–153; V. А. Davydov, S. A. Kruglik, Yu. A. Yanovich, “Comparison of banking and peer-to-peer lending risks”, Autom. Remote Control, 82:12 (2021), 2155–2168
A. P. Kuleshov, A. V. Bernstein, Yu. A. Yanovich, “Manifold learning based on kernel density estimation”, Учен. зап. Казан. ун-та. Сер. Физ.-матем. науки, 160:2 (2018), 327–338
3.
O. N. Kachan, Yu. A. Yanovich, E. N. Abramov, “Alignment of vector fields on manifolds via contraction mappings”, Учен. зап. Казан. ун-та. Сер. Физ.-матем. науки, 160:2 (2018), 300–308
E. N. Abramov, Yu. A. Yanovich, “Estimation of smooth vector fields on manifolds by optimization on Stiefel group”, Учен. зап. Казан. ун-та. Сер. Физ.-матем. науки, 160:2 (2018), 220–228
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