| Elliptic Flow in Collisions at KH Ackermann, N Adams, C Adler, Z Ahammed, S Ahmad, C Allgower, ... Physical Review Letters 86 (3), 402, 2001 | 1135 | 2001 |
| Challenges in QCD matter physics--The scientific programme of the Compressed Baryonic Matter experiment at FAIR T Ablyazimov, A Abuhoza, RP Adak, M Adamczyk, K Agarwal, ... The European Physical Journal A 53, 1-14, 2017 | 418 | 2017 |
| Disease detection on the plant leaves by deep learning P Goncharov, G Ososkov, A Nechaevskiy, A Uzhinskiy, I Nestsiarenia International Conference on Neuroinformatics, 151-159, 2018 | 79 | 2018 |
| Conceptual design of the spin physics detector VM Abazov, V Abramov, LG Afanasyev, RR Akhunzyanov, AV Akindinov, ... arXiv preprint arXiv:2102.00442, 2021 | 48 | 2021 |
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| Deep siamese networks for plant disease detection P Goncharov, A Uzhinskiy, G Ososkov, A Nechaevskiy, J Zudikhina EPJ web of conferences 226, 03010, 2020 | 38 | 2020 |
| Development of a RICH detector for CBM: simulations and experimental tests C Höhne, KE Choi, V Dobyrn, M Dürr, J Eschke, V Evseev, KH Kampert, ... Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2011 | 34 | 2011 |
| One-shot learning with triplet loss for vegetation classification tasks AV Uzhinskiy, GA Ososkov, PV Goncharov, AV Nechaevskiy, ... Компьютерная оптика 45 (4), 608-614, 2021 | 33 | 2021 |
| Resonance structure in the invariant mass spectrum in C and C interactions KU Abraamyan, AV Friesen, MA Kozhin, SA Nikitin, SG Reznikov, ... Physical Review C—Nuclear Physics 80 (3), 034001, 2009 | 32 | 2009 |
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| Shallow and deep learning for image classification G Ososkov, P Goncharov Optical Memory and Neural Networks 26, 221-248, 2017 | 27 | 2017 |
| Ring recognition and electron identification in the RICH detector of the CBM experiment at FAIR S Lebedev, C Hoehne, G Ososkov, forthe Cbm Collaboration Journal of Physics: Conference Series 219 (3), 032015, 2010 | 24 | 2010 |
| Multifunctional platform and mobile application for plant disease detection A Uzhinskiy, G Ososkov, P Goncharov, A Nechaevskiy CEUR Workshop Proc 2507, 110-114, 2019 | 23 | 2019 |
| Fast algorithms for ring recognition and electron identification in the CBM RICH detector SA Lebedev, GA Ososkov Physics of particles and nuclei letters 6, 161-176, 2009 | 20 | 2009 |
| Observation of the (e+ e−)-decay modes of neutral vector mesons MN Khachaturyan, MA Azimov, AM Baldin, AS Belousov, IV Chuvilo, ... Physics Letters B 24 (7), 349-352, 1967 | 20 | 1967 |
| Efficient testing of the homogeneity, scale parameters and number of components in the Rayleigh mixture M Stehlík, GA Ososkov Laboratory of Information Technologies, 2003 | 18 | 2003 |
| Particle track reconstruction with the TrackNETv2 P Goncharov, G Ososkov, D Baranov AIP Conference Proceedings 2163 (1), 2019 | 16 | 2019 |
| Novel approach to the particle track reconstruction based on deep learning methods D Baranov, S Mitsyn, G Ososkov, P Goncharov, A Tsytrinov Selected Papers of the 26th International Symposium on Nuclear Electronics …, 2017 | 15 | 2017 |
| The growing neural gas and clustering of large amounts of data SV Mitsyn, GA Ososkov Optical Memory and Neural Networks 20, 260-270, 2011 | 15 | 2011 |
| Simulation concept of NICA-MPD-SPD Tier0-Tier1 computing facilities VV Korenkov, AV Nechaevskiy, GA Ososkov, DI Pryahina, VV Trofomov, ... Physics of Particles and Nuclei Letters 13, 693-699, 2016 | 14 | 2016 |
