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Vlasov, Danila
13
results:
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1
Comparison of Bagging and Sparcity Methods for Connectivity..:
Rybka, Roman
;
Davydov, Yury
;
Vlasov, Danila
...
Big Data and Cognitive Computing. 8 (2024) 3 - p. 22 , 2024
Link:
https://doi.org/10.3390/..
?
2
The effect of geometrical characteristics of the joining ar..:
Vlasov, Danila D.
;
Plugatar`, Taras P.
;
Tatus`, Nikolay A.
.
Procedia Structural Integrity. 50 (2023) - p. 299-306 , 2023
Link:
https://doi.org/10.1016/..
?
3
Memristor-based spiking neural network with online reinforc..:
Vlasov, Danila
;
Minnekhanov, Anton
;
Rybka, Roman
...
Neural Networks. 166 (2023) - p. 512-523 , 2023
Link:
https://doi.org/10.1016/..
?
4
Determination of critical filament length for composites fa..:
Vlasov, Danila
;
Tatus, Nikolai
;
Plugatar, Taras
...
E3S Web of Conferences. 431 (2023) - p. 06030 , 2023
Link:
https://doi.org/10.1051/..
?
5
The Effect of Hole Manufacturing Technology on the Strength..:
Vlasov, Danila D.
;
Tatus', Nikolay A.
;
Polilov, Alexander N.
Materials Science Forum. 1052 (2022) - p. 140-146 , 2022
Link:
https://doi.org/10.4028/..
?
6
Modeling the Dynamics of Spiking Networks with Memristor-Ba..:
Sboev, Alexander
;
Vlasov, Danila
;
Rybka, Roman
...
Mathematics. 9 (2021) 24 - p. 3237 , 2021
Link:
https://doi.org/10.3390/..
?
7
Solving a classification task by spiking neural network wit..:
Sboev, Alexander
;
Serenko, Alexey
;
Rybka, Roman
.
Mathematical Methods in the Applied Sciences. 43 (2020) 13 - p. 7802-7814 , 2020
Link:
https://doi.org/10.1002/..
?
8
To the role of the choice of the neuron model in spiking ne..:
Sboev, Alexander
;
Rybka, Roman
;
Serenko, Alexey
...
Procedia Computer Science. 123 (2018) - p. 432-439 , 2018
Link:
https://doi.org/10.1016/..
?
9
Spiking neural network reinforcement learning method based ..:
Sboev, Alexander
;
Vlasov, Danila
;
Rybka, Roman
.
Procedia Computer Science. 145 (2018) - p. 458-463 , 2018
Link:
https://doi.org/10.1016/..
?
10
Solving a classification task by spiking neurons with STDP ..:
Sboev, Alexander
;
Vlasov, Danila
;
Rybka, Roman
.
Procedia Computer Science. 123 (2018) - p. 494-500 , 2018
Link:
https://doi.org/10.1016/..
?
11
Estimation of the influence of spiking neural network param..:
Sboev, Aleksandr
;
Serenko, Alexey
;
Rybka, Roman
..
Procedia Computer Science. 145 (2018) - p. 488-494 , 2018
Link:
https://doi.org/10.1016/..
?
12
A comparison of learning abilities of spiking networks with..:
Sboev, Alexander
;
Vlasov, Danila
;
Serenko, Alexey
..
Journal of Physics: Conference Series. 681 (2016) - p. 012013 , 2016
Link:
https://doi.org/10.1088/..
?
13
On the Applicability of Spiking Neural Network Models to So..:
Sboev, Alexander
;
Litvinova, Tatiana
;
Vlasov, Danila
..
Procedia Computer Science. 101 (2016) - p. 187-196 , 2016
Link:
https://doi.org/10.1016/..
1-13