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Vlasov, Danila
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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