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Berikov, Vladimir
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1

Mask Correction in 3-D Tomography Brain Images for Weakly S..:

, In: 2024 International Russian Smart Industry Conference (SmartIndustryCon),
Mikhailapov, Denis ; Tulupov, Andrey ; Berikov, Vladimir - p. 796-801 , 2024
Link: https://doi.org/10.1109/..
 
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2

Ensemble Clustering with Heterogeneous Transfer Learning:

, In: Lecture Notes in Computer Science; Analysis of Images, Social Networks and Texts,
Berikov, Vladimir - p. 255-266 , 2024
Link: https://doi.org/10.1007/..
 
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3

Multi-target Weakly Supervised Regression Using Manifold Re..:

, In: Communications in Computer and Information Science; Mathematical Optimization Theory and Operations Research: Recent Trends,
Kalmutskiy, Kirill ; Cherikbayeva, Lyailya ; Litvinenko, Alexander. - p. 364-375 , 2023
Link: https://doi.org/10.1007/..
 
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4

ERANNs: Efficient residual audio neural networks for audio ..:

Verbitskiy, Sergey ; Berikov, Vladimir ; Vyshegorodtsev, Viacheslav
Pattern Recognition Letters.  161 (2022)  - p. 38-44 , 2022
Link: https://doi.org/10.1016/..
 
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5

Compression of Deep Neural Network for Acute Ischemic Strok..:

, In: 2022 Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB),
Mikhailapov, Denis ; Tulupov, Andrey ; Alyamkin, Sergey. - p. 240-245 , 2022
Link: https://doi.org/10.1109/..
 
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6

On a Weakly Supervised Classification Problem:

, In: Lecture Notes in Computer Science; Analysis of Images, Social Networks and Texts,
Berikov, Vladimir ; Litvinenko, Alexander ; Pestunov, Igor. - p. 315-329 , 2022
Link: https://doi.org/10.1007/..
 
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7

Visual Word based Neural Tree for Interpretable Recognition..:

, In: 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON),
Kozinets, Roman ; Berikov, Vladimir - p. 1830-1835 , 2022
Link: https://doi.org/10.1109/..
 
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8

Prediction of missing values. Comparison of approaches:

Litvinenko, Alexander ; Kriemann, Ronald ; Berikov, Vladimir
PAMM.  21 (2021)  1 - p. , 2021
Link: https://doi.org/10.1002/..
 
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9

Weakly Supervised Regression Using Manifold Regularization ..:

, In: Mathematical Optimization Theory and Operations Research; Lecture Notes in Computer Science,
Berikov, Vladimir ; Litvinenko, Alexander - p. 447-461 , 2021
Link: https://doi.org/10.1007/..
 
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10

Recognition of Tomographic Images in the Diagnosis of Strok:

, In: Pattern Recognition. ICPR International Workshops and Challenges; Lecture Notes in Computer Science,
Kalmutskiy, Kirill ; Tulupov, Andrey ; Berikov, Vladimir - p. 166-171 , 2021
Link: https://doi.org/10.1007/..
 
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11

Comparative Analysis of Deep Neural Network and Texture-Bas..:

, In: 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT),
Nedel'ko, Victor ; Kozinets, Roman ; Tulupov, Andrey. - p. 376-379 , 2020
Link: https://doi.org/10.1109/..
 
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12

Autoencoder-based Low-Rank Spectral Ensemble Clustering of ..:

, In: 2020 Cognitive Sciences, Genomics and Bioinformatics (CSGB),
Berikov, Vladimir - p. 43-46 , 2020
Link: https://doi.org/10.1109/..
 
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13

On the Relationship between Regulatory and Exomic DNA Marke..:

, In: 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT),
Postovalov, Sergey ; Berikov, Vladimir ; Bryzgalov, Leonid. - p. 97-100 , 2020
Link: https://doi.org/10.1109/..
 
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14

Accessing the impact of functional variants on human phenot..:

, In: 2020 Cognitive Sciences, Genomics and Bioinformatics (CSGB),
Korbolina, Elena ; Bryzgalov, Leonid ; Postovalov, Sergey... - p. 10-13 , 2020
Link: https://doi.org/10.1109/..
 
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15

Semi-supervised Classification Using Multiple Clustering an..:

, In: Mathematical Optimization Theory and Operations Research; Lecture Notes in Computer Science,
Berikov, Vladimir - p. 529-540 , 2019
Link: https://doi.org/10.1007/..
 
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