Elliptic Flow in Collisions at KH Ackermann, N Adams, C Adler, Z Ahammed, S Ahmad, C Allgower, ...
Physical Review Letters 86 (3), 402, 2001
1103 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
367 2017 Disease detection on the plant leaves by deep learning P Goncharov, G Ososkov, A Nechaevskiy, A Uzhinskiy, I Nestsiarenia
Advances in Neural Computation, Machine Learning, and Cognitive Research II …, 2019
71 2019 Development of a RICH detector for electron identification in CBM C Höhne, S Das, M Dürr, T Galatyuk, P Koczon, S Lebedev, A Maevskaya, ...
Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2008
47 2008 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 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 80 (3), 034001, 2009
30 2009 Deep siamese networks for plant disease detection P Goncharov, A Uzhinskiy, G Ososkov, A Nechaevskiy, J Zudikhina
EPJ web of conferences 226, 03010, 2020
29 2020 Method and device for determining cornea surface topography AV Karpov, AA Kivaev, SA Elkind, GN Orlov, NI Lukin, MS Gashnev, ...
US Patent 4,569,576, 1986
28 1986 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 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
23 2021 Shallow and deep learning for image classification G Ososkov, P Goncharov
Optical Memory and Neural Networks 26, 221-248, 2017
23 2017 Multifunctional platform and mobile application for plant disease detection A Uzhinskiy, G Ososkov, P Goncharov, A Nechaevskiy
CEUR Workshop Proc 2507, 110-114, 2019
21 2019 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
17 2003 The growing neural gas and clustering of large amounts of data SV Mitsyn, GA Ososkov
Optical Memory and Neural Networks 20, 260-270, 2011
16 2011 Particle track reconstruction with the TrackNETv2 P Goncharov, G Ososkov, D Baranov
AIP Conference Proceedings 2163 (1), 2019
15 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 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
13 2009 Wavelet analysis of angular distributions of secondary particles in high-energy nucleus-nucleus interactions: irregularity of particle pseudorapidity distributions VV Uzhinsky, VS Navotny, GA Ososkov, A Polanski, MM Chernyavsky
Physics of Atomic Nuclei 67, 156-162, 2004
13 2004 Deep learning methods for the plant disease detection platform A Smetanin, A Uzhinskiy, G Ososkov, P Goncharov, A Nechaevskiy
AIP Conference Proceedings 2377 (1), 2021
12 2021