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Ososkov G.
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Elliptic Flow in Collisions at
KH Ackermann, N Adams, C Adler, Z Ahammed, S Ahmad, C Allgower, ...
Physical Review Letters 86 (3), 402, 2001
11022001
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
3652017
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
682019
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
472008
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
342011
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
302009
Deep siamese networks for plant disease detection
P Goncharov, A Uzhinskiy, G Ososkov, A Nechaevskiy, J Zudikhina
EPJ web of conferences 226, 03010, 2020
292020
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
281986
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
242010
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
232021
Shallow and deep learning for image classification
G Ososkov, P Goncharov
Optical Memory and Neural Networks 26, 221-248, 2017
232017
Multifunctional platform and mobile application for plant disease detection
A Uzhinskiy, G Ososkov, P Goncharov, A Nechaevskiy
CEUR Workshop Proc 2507, 110-114, 2019
212019
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
201967
Efficient testing of the homogeneity, scale parameters and number of components in the Rayleigh mixture
M Stehlík, GA Ososkov
Laboratory of Information Technologies, 2003
172003
Particle track reconstruction with the TrackNETv2
P Goncharov, G Ososkov, D Baranov
AIP Conference Proceedings 2163 (1), 2019
152019
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
152017
The growing neural gas and clustering of large amounts of data
SV Mitsyn, GA Ososkov
Optical Memory and Neural Networks 20, 260-270, 2011
152011
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
132009
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
132004
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
122021
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