Algorithms and Software for Event Reconstruction in the RICH, TRD and MUCH Detectors of the CBM Experiment. - Semen Lebedev; Claudia Höhne; Ivan Kisel; Andrey Lebedev; Gennady Ososkov (MMCP, 2011)

Моделирование грид и облачных сервисов как средство повышения эффективности их разработки (Simulation of Grid and Cloud Services as the Means of Improvement of Their Development Efficiency). - Vladimir V. Korenkov; Andrey Nechaevskiy; Gennadiy Ososkov; Dariya Pryahina; Vladimir Trofimov; Aleksandr Uzhinskiy (RCDL, 2014)

Data Management of the Environmental Monitoring Network: UNECE ICP Vegetation Case. - Gennady Ososkov; Marina Frontasyeva; Alexander Uzhinskiy; Nikolay Kutovskiy; Boris Rumyantsev; Andrey Nechaevsky; Sergey Mitsyn; K. Vergel (DAMDID/RCDL, 2016)

Catch and Prolong: recurrent neural network for seeking track-candidates. - Dmitriy Baranov; Gennady Ososkov; Pavel Goncharov; Andrei Tsytrinov (CoRR, 2018)

The particle track reconstruction based on deep learning neural networks. - Dmitriy Baranov; Sergey Mitsyn; Pavel Goncharov; Gennady Ososkov (CoRR, 2018)

One-Shot Learning with Triplet Loss for Vegetation Classification Tasks. - Alexander Uzhinskiy; Gennady Ososkov; Pavel Goncharov; Andrey Nechaevskiy; Artem Smetanin (CoRR, 2020)

Enhanced KAN architecture for experimental data processing in high-energy physics. - Yauheni Talochka; Gennady Ososkov; Nikolay Voytishin (Comput. Phys. Commun., 2025)