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Konstantinov, Andrei V.
2731  Ergebnisse:
Personensuche X
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1

Attention-Based Random Forests and the Imprecise Pari-Mutua..:

, In: Cyber-Physical Systems Engineering and Control; Studies in Systems, Decision and Control,
Utkin, Lev V. ; Konstantinov, Andrei V. ; Politaeva, Natalia A. - p. 3-15 , 2023
Link: https://doi.org/10.1007/..
 
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2

Attention and self-attention in random forests:

Utkin, Lev V. ; Konstantinov, Andrei V. ; Kirpichenko, Stanislav R.
Progress in Artificial Intelligence.  12 (2023)  3 - p. 257-273 , 2023
Link: https://doi.org/10.1007/..
 
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3

Neural Attention Forests: Transformer-Based Forest Improvem..:

, In: Proceedings of the Seventh International Scientific Conference "Intelligent Information Technologies for Industry" (IITI'23); Lecture Notes in Networks and Systems,
Konstantinov, Andrei V. ; Utkin, Lev V. ; Lukashin, Alexey A.. - p. 158-167 , 2023
Link: https://doi.org/10.1007/..
 
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4

Interpretable ensembles of hyper-rectangles as base models:

Konstantinov, Andrei V. ; Utkin, Lev V.
Neural Computing and Applications.  35 (2023)  29 - p. 21771-21795 , 2023
Link: https://doi.org/10.1007/..
 
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5

Attention-based random forest and contamination model:

Utkin, Lev V. ; Konstantinov, Andrei V.
Neural Networks.  154 (2022)  - p. 346-359 , 2022
Link: https://doi.org/10.1016/..
 
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6

Random Forests with Attentive Nodes:

Konstantinov, Andrei V. ; Utkin, Lev V. ; Kirpichenko, Stanislav R...
Procedia Computer Science.  212 (2022)  - p. 454-463 , 2022
Link: https://doi.org/10.1016/..
 
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7

Attention-like feature explanation for tabular data:

Konstantinov, Andrei V. ; Utkin, Lev V.
International Journal of Data Science and Analytics.  16 (2022)  1 - p. 1-26 , 2022
Link: https://doi.org/10.1007/..
 
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8

Multi-attention multiple instance learning:

Konstantinov, Andrei V. ; Utkin, Lev V.
Neural Computing and Applications.  34 (2022)  16 - p. 14029-14051 , 2022
Link: https://doi.org/10.1007/..
 
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9

Effect of Silver Nanoparticles Synthesized by 'Green' Metho..:

Przhevalskaya, Darya A. ; Bandarenka, Uladzislau Y. ; Shashko, Antonina Y....
The Open Agriculture Journal.  16 (2022)  1 - p. , 2022
Link: https://doi.org/10.2174/..
 
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10

SurvNAM: The machine learning survival model explanation:

Utkin, Lev V. ; Satyukov, Egor D. ; Konstantinov, Andrei V.
Neural Networks.  147 (2022)  - p. 81-102 , 2022
Link: https://doi.org/10.1016/..
 
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11

A Generalized Stacking for Implementing Ensembles of Gradie..:

, In: Cyber-Physical Systems; Studies in Systems, Decision and Control,
Konstantinov, Andrei V. ; Utkin, Lev V. - p. 3-16 , 2021
Link: https://doi.org/10.1007/..
 
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12

Uncertainty Interpretation of the Machine Learning Survival..:

Utkin, Lev V. ; Zaborovsky, Vladimir S. ; Kovalev, Maxim S....
IEEE Access.  9 (2021)  - p. 120158-120175 , 2021
Link: https://doi.org/10.1109/..
 
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13

Interpretable machine learning with an ensemble of gradient..:

Konstantinov, Andrei V. ; Utkin, Lev V.
Knowledge-Based Systems.  222 (2021)  - p. 106993 , 2021
Link: https://doi.org/10.1016/..
 
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14

A weighted random survival forest:

Utkin, Lev V. ; Konstantinov, Andrei V. ; Chukanov, Viacheslav S....
Knowledge-Based Systems.  177 (2019)  - p. 136-144 , 2019
Link: https://doi.org/10.1016/..
 
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15

Deep Forest as a framework for a new class of machine-learn..:

Utkin, Lev V ; Meldo, Anna A ; Konstantinov, Andrei V
National Science Review.  6 (2018)  2 - p. 186-187 , 2018
Link: https://doi.org/10.1093/..
 
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