H. Mu, Zh. Li, X. Wang, Sh. Liu, “Temperature distribution measurement using the Gaussian process regression method”, Math. Probl. Eng., 2017, 2147935
A. Zaytsev, E. Burnaev, “Large scale variable fidelity surrogate modeling”, Ann. Math. Artif. Intell., 81:1-2 (2017), 167–186
Evgeny Burnaev, Ivan Panin, Bruno Sudret, “Efficient design of experiments for sensitivity analysis based on polynomial chaos expansions”, Ann Math Artif Intell, 81:1-2 (2017), 187
Alexander Kuleshov, Alexander Bernstein, Evgeny Burnaev, Lecture Notes in Computer Science, 10358, Machine Learning and Data Mining in Pattern Recognition, 2017, 276
E. Burnaev, I. Nazarov, “Conformalized kernel ridge regression”, 2016 15Th IEEE International Conference on Machine Learning and Applications (Icmla 2016), IEEE, 2016, 45–52
M. Belyaev, E. Burnaev, E. Kapushev, M. Panov, P. Prikhodko, D. Vetrov, D. Yarotsky, “Gtapprox: Surrogate modeling for industrial design”, Adv. Eng. Softw., 102 (2016), 29–39
Evgeny Burnaev, Ivan Nazarov, 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA), 2016, 45