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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

Image and Audio Data Classification Using Bagging Ensembles..:

, In: Biologically Inspired Cognitive Architectures 2023; Studies in Computational Intelligence,
Rybka, Roman ; Davydov, Yury ; Sboev, Alexander.. - p. 741-749 , 2024
Link: https://doi.org/10.1007/..
 
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3

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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4

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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5

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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6

Spoken Digits Classification Based on Spiking Neural Networ..:

, In: 2022 International Conference on Computational Science and Computational Intelligence (CSCI),
Vlasov, Danila ; Davydov, Yury ; Serenko, Alexey.. - p. 330-335 , 2022
Link: https://doi.org/10.1109/..
 
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7

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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8

A Comparison of Two Variants of Memristive Plasticity for S..:

, In: Studies in Computational Intelligence; Biologically Inspired Cognitive Architectures 2021,
Sboev, Alexander ; Davydov, Yury ; Rybka, Roman.. - p. 438-446 , 2022
Link: https://doi.org/10.1007/..
 
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9

Reinforcement learning in a spiking neural network with mem..:

, In: 2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA),
Vlasov, Danila ; Rybka, Roman ; Sboev, Alexander... - p. 300-302 , 2022
Link: https://doi.org/10.1109/..
 
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10

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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11

STDP-Based Classificational Spiking Neural Networks Combini..:

, In: Advances in Neural Computation, Machine Learning, and Cognitive Research IV; Studies in Computational Intelligence,
Sboev, Aleksandr ; Vlasov, Danila ; Serenko, Alexey.. - p. 403-411 , 2020
Link: https://doi.org/10.1007/..
 
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12

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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13

Ensembling SNNs with STDP Learning on Base of Rate Stabiliz..:

, In: Brain-Inspired Cognitive Architectures for Artificial Intelligence: BICA*AI 2020; Advances in Intelligent Systems and Computing,
Sboev, Alexander ; Serenko, Alexey ; Rybka, Roman. - p. 446-452 , 2020
Link: https://doi.org/10.1007/..
 
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14

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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15

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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