Atomistic-continuum multiscale modelling of magnetisation dynamics at non-zero temperature. - Doghonay Arjmand; Mikhail Poluektov; Gunilla Kreiss (Adv. Comput. Math., 2018)

Canonical block-oriented model. - Andrew Polar; Michael Poluektov (CoRR, 2019)

Modelling long-range interactions in multiscale simulations of ferromagnetic materials. - Doghonay Arjmand; Mikhail Poluektov; Gunilla Kreiss (Adv. Comput. Math., 2020)

Urysohn operators as adaptive filters. - Andrew Polar; Michael Poluektov (CoRR, 2020)

Modelling non-linear control systems using the discrete Urysohn operator. - Michael Poluektov; Andrew Polar (J. Frankl. Inst., 2020)

Urysohn Forest for Aleatoric Uncertainty Quantification. - Andrew Polar; Michael Poluektov (CoRR, 2021)

A deep machine learning algorithm for construction of the Kolmogorov-Arnold representation. - Andrew Polar; Michael Poluektov (Eng. Appl. Artif. Intell., 2021)

A new iterative method for construction of the Kolmogorov-Arnold representation. - Michael Poluektov; Andrew Polar (CoRR, 2023)

ESSN: An Efficient Sleep Sequence Network for Automatic Sleep Staging. - Yongliang Chen; Yudan Lv; Xinyu Sun; Mikhail Poluektov; Yuan Zhang 007; Thomas Penzel (IEEE J. Biomed. Health Informatics, 2024)

ActiveSleepLearner: Less Annotation Budget for Better Large-Scale Sleep Staging. - Qi Liu; Jie Wei; Thomas Penzel; Maarten De Vos; Yuan Zhang 007; Zhiyi Huang 001; Mikhail Poluektov; Yulan Zhu; Chenyu Li (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Construction of the Kolmogorov-Arnold networks using the Newton-Kaczmarz method. - Michael Poluektov; Andrew Polar (Mach. Learn., 2025)