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27 April 2024
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1
to
14
of
14
for query "
Lev V. Utkin
". (0.00 sec.)
1.
An Adaptive Weighted Deep Forest Classifier
Lev V. Utkin
;
Andrei V. Konstantinov
;
Viacheslav S. Chukanov
;
Mikhail V. Kots
;
Anna A. Meldo
;
4 Jan 2019
2.
A weighted random survival forest
Lev V. Utkin
;
Andrei V. Konstantinov
;
Viacheslav S. Chukanov
;
Mikhail V. Kots
;
Mikhail A. Ryabinin
;
Anna A. Meldo
;
1 Jan 2019
3.
BENK: The Beran Estimator with Neural Kernels for Estimating the Heterogeneous Treatment Effect
Stanislav R. Kirpichenko
;
Lev V. Utkin
;
Andrei V. Konstantinov
;
19 Nov 2022
4.
Improved Anomaly Detection by Using the Attention-Based Isolation Forest
Lev V. Utkin
;
Andrey Y. Ageev
;
Andrei V. Konstantinov
;
5 Oct 2022
5.
Heterogeneous Treatment Effect with Trained Kernels of the Nadaraya-Watson Regression
Andrei V. Konstantinov
;
Stanislav R. Kirpichenko
;
Lev V. Utkin
;
19 Jul 2022
6.
Attention and Self-Attention in Random Forests
Lev V. Utkin
;
Andrei V. Konstantinov
;
9 Jul 2022
7.
Attention-based Random Forest and Contamination Model
Lev V. Utkin
;
Andrei V. Konstantinov
;
8 Jan 2022
8.
Multi-Attention Multiple Instance Learning
Andrei V. Konstantinov
;
Lev V. Utkin
;
11 Dec 2021
9.
Attention-like feature explanation for tabular data
Andrei V. Konstantinov
;
Lev V. Utkin
;
10 Aug 2021
10.
An Imprecise SHAP as a Tool for Explaining the Class Probability Distributions under Limited Training Data
Lev V. Utkin
;
Andrei V. Konstantinov
;
Kirill A. Vishniakov
;
16 Jun 2021
11.
Interpretable Machine Learning with an Ensemble of Gradient Boosting Machines
Andrei V. Konstantinov
;
Lev V. Utkin
;
14 Oct 2020
12.
SurvLIME-Inf: A simplified modification of SurvLIME for explanation of machine learning survival models
Lev V. Utkin
;
Maxim S. Kovalev
;
Ernest M. Kasimov
;
5 May 2020
13.
An explanation method for Siamese neural networks
Lev V. Utkin
;
Maxim S. Kovalev
;
Ernest M. Kasimov
;
18 Nov 2019
14.
Discriminative Metric Learning with Deep Forest
Lev V. Utkin
;
Mikhail A. Ryabinin
;
25 May 2017
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