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Zaytsev, Alexey G.
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1

Factors of Adaptation of Economically Active Population to ..:

, In: Lecture Notes in Networks and Systems; Modern Global Economic System: Evolutional Development vs. Revolutionary Leap,
Zaytsev, Alexey G. ; Mosina, Ekaterina I. ; Kuznetsova, Irina V... - p. 954-962 , 2021
Link: https://doi.org/10.1007/..
 
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2

Establishment of Information Economy Under the Influence of..:

, In: Advances in Intelligent Systems and Computing; Perspectives on the Use of New Information and Communication Technology (ICT) in the Modern Economy,
Zaytsev, Alexey G. ; Plakhova, Liubov V. ; Legostaeva, Svetlana A... - p. 3-10 , 2018
Link: https://doi.org/10.1007/..
 
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3

Peculiarities of Using Neuromarketing as a System of Knowle..:

, In: Advances in Intelligent Systems and Computing; Perspectives on the Use of New Information and Communication Technology (ICT) in the Modern Economy,
Zaytsev, Alexey G. ; Vlasova, Maria A. ; Semenova, Elena M... - p. 166-172 , 2018
Link: https://doi.org/10.1007/..
 
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4

Computational Tools of Media Analysis for Corporate Policy ..:

, In: Springer Series in Reliability Engineering; Reliability and Maintainability Assessment of Industrial Systems,
Khvatsky, Gregory S. ; Zaytsev, Dmitry G. ; Kuskova, Valentina V.. - p. 51-71 , 2022
Link: https://doi.org/10.1007/..
 
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5

Cross-National Comparison of Protest Publics' Roles as Driv..:

, In: Societies and Political Orders in Transition; Protest Publics,
Zaytsev, Dmitry G. ; Galina, Anastasia I. ; Sokol, Anna A. - p. 157-182 , 2019
Link: https://doi.org/10.1007/..
 
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6

Protesters as the "Challengers of the Status Quo" in Embedd..:

, In: Societies and Political Orders in Transition; Protest Publics,
Shmaltsev, Nikita ; Zaytsev, Dmitry G. - p. 183-201 , 2019
Link: https://doi.org/10.1007/..
 
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7

ScaleFace: Uncertainty-aware Deep Metric Learning:

, In: 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA),
Kail, Roman ; Fedyanin, Kirill ; Muravev, Nikita.. - p. 1-10 , 2023
Link: https://doi.org/10.1109/..
 
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8

Surrogate uncertainty estimation for your time series forec..:

, In: 2023 IEEE International Conference on Data Mining Workshops (ICDMW),
Erlygin, Leonid ; Zholobov, Vladimir ; Baklanova, Valeriia.. - p. 1247-1258 , 2023
Link: https://doi.org/10.1109/..
 
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9

Effective Training-Time Stacking for Ensembling of Deep Neu..:

, In: Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition,
Proskura, Polina ; Zaytsev, Alexey - p. 78-82 , 2022
Link: https://dl.acm.org/doi/1..
 
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10

Transfer learning for ensembles: reducing computation time ..:

, In: Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition,
Shashkov, Ilya ; Zaytsev, Alexey ; Balabin, Nikita. - p. 8-13 , 2022
Link: https://dl.acm.org/doi/1..
 
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11

InDiD: Instant Disorder Detection via a Principled Neural N..:

, In: Proceedings of the 30th ACM International Conference on Multimedia,
Romanenkova, Evgenia ; Stepikin, Alexander ; Morozov, Matvey. - p. 3152-3162 , 2022
Link: https://dl.acm.org/doi/1..
 
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12

Adversarial Attacks on Deep Models for Financial Transactio..:

, In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining,
Fursov, Ivan ; Morozov, Matvey ; Kaploukhaya, Nina... - p. 2868-2878 , 2021
Link: https://dl.acm.org/doi/1..
 
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13

Gradient-Based Adversarial Attacks on Categorical Sequence ..:

, In: Lecture Notes in Computer Science; Analysis of Images, Social Networks and Texts,
Fursov, Ivan ; Zaytsev, Alexey ; Kluchnikov, Nikita.. - p. 356-368 , 2021
Link: https://doi.org/10.1007/..
 
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14

Unsupervised Anomaly Detection for Discrete Sequence Health..:

, In: Lecture Notes in Computer Science; Analysis of Images, Social Networks and Texts,
Snorovikhina, Victoria ; Zaytsev, Alexey - p. 391-403 , 2021
Link: https://doi.org/10.1007/..
 
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15

Deeply subwavelength terahertz solid immersion microscopy u..:

, In: 2023 IEEE Photonics Conference (IPC),
Zhelnov, V.A. ; Chernomyrdin, N.V. ; Katyba, G.M.... - p. 1-2 , 2023
Link: https://doi.org/10.1109/..
 
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