Reinforcement Learning for Computer Vision and Robot Navigation. - Alexander V. Bernstein; Evgeny Burnaev; Oleg N. Kachan (MLDM (2), 2018)

Topological data analysis in computer vision. - Alexander Bernstein; Eugeny Burnaev; Maxim Sharaev; Ekaterina Kondrateva; Oleg Kachan (ICMV, 2019)

Persistent Homology-based Projection Pursuit. - Oleg Kachan (CVPR Workshops, 2020)

Topological Data Analysis Of Eye Movements. - Oleg Kachan; Arsenii Onuchin (ISBI, 2021)

Data Augmentation with Manifold Barycenters. - Iaroslav Bespalov; Nazar Buzun; Oleg Kachan; Dmitry V. Dylov (CoRR, 2021)

LAMBO: Landmarks Augmentation With Manifold-Barycentric Oversampling. - Iaroslav Bespalov; Nazar Buzun; Oleg Kachan; Dmitry V. Dylov (IEEE Access, 2022)

Individual Topology Structure of Eye Movement Trajectories. - Arsenii Onuchin; Oleg Kachan (CoRR, 2022)

Multivariate Wasserstein Functional Connectivity for Autism Screening. - Oleg Kachan; Alexander Bernstein (CoRR, 2022)

Simplicial SMOTE: Oversampling Solution to the Imbalanced Learning Problem. - Oleg Kachan; Andrey V. Savchenko; Gleb Gusev (KDD (1), 2025)