Andrei V. Konstantinov
Andrei V. Konstantinov
Peter the Great St.Petersburg Polytechnic University (SPbPU)
Verified email at
Cited by
Cited by
Interpretable machine learning with an ensemble of gradient boosting machines
AV Konstantinov, LV Utkin
Knowledge-Based Systems 222, 106993, 2021
A weighted random survival forest
LV Utkin, AV Konstantinov, VS Chukanov, MV Kots, MA Ryabinin, ...
Knowledge-Based Systems 177, 136-144, 2019
Attention-based random forest and contamination model
LV Utkin, AV Konstantinov
Neural Networks 154, 346-359, 2022
Counterfactual explanation of machine learning survival models
M Kovalev, L Utkin, F Coolen, A Konstantinov
Informatica 32 (4), 817-847, 2021
A deep forest improvement by using weighted schemes
L Utkin, A Konstantinov, A Meldo, M Ryabinin, V Chukanov
2019 24th Conference of Open Innovations Association (FRUCT), 451-456, 2019
SurvNAM: The machine learning survival model explanation
LV Utkin, ED Satyukov, AV Konstantinov
Neural Networks 147, 81-102, 2022
Ensembles of random SHAPs
L Utkin, A Konstantinov
Algorithms 15 (11), 431, 2022
A new adaptive weighted deep forest and its modifications
LV Utkin, AV Konstantinov, VS Chukanov, AA Meldo
International Journal of Information Technology & Decision Making 19 (04 …, 2020
Deep Forest as a framework for a new class of machine-learning models
LV Utkin, AA Meldo, AV Konstantinov
National Science Review 6 (2), 186-187, 2019
Multi-attention multiple instance learning
AV Konstantinov, LV Utkin
Neural Computing and Applications 34 (16), 14029-14051, 2022
Gradient Boosting Machine with Partially Randomized Decision Trees
A Konstantinov, L Utkin, V Muliukha
2021 28th Conference of Open Innovations Association (FRUCT), 2021
AGBoost: Attention-based modification of gradient boosting machine
A Konstantinov, L Utkin, S Kirpichenko
2022 31st Conference of Open Innovations Association (FRUCT), 96-101, 2022
A Generalized Stacking for Implementing Ensembles of Gradient Boosting Machines
ULV Konstantinov A.V.
Studies in Systems, Decision and Control 350, 3–16, 2021
Combining an autoencoder and a variational autoencoder for explaining the machine learning model predictions
L Utkin, P Drobintsev, M Kovalev, A Konstantinov
2021 28th Conference of Open Innovations Association (FRUCT), 489-494, 2021
An adaptive weighted deep forest classifier
LV Utkin, AV Konstantinov, VS Chukanov, MV Kots, AA Meldo
arXiv preprint arXiv:1901.01334, 2019
Attention-like feature explanation for tabular data
AV Konstantinov, LV Utkin
International Journal of Data Science and Analytics 16 (1), 1-26, 2023
Attention and self-attention in random forests
LV Utkin, AV Konstantinov, SR Kirpichenko
Progress in Artificial Intelligence, 1-17, 2023
An extension of the neural additive model for uncertainty explanation of machine learning survival models
L Utkin, A Konstantinov
Cyber-Physical Systems: Intelligent Models and Algorithms, 3-13, 2022
An Imprecise SHAP as a Tool for Explaining the Class Probability Distributions under Limited Training Data
LV Utkin, AV Konstantinov, KA Vishniakov
arXiv preprint arXiv:2106.09111, 2021
Semi-supervised learning for medical image segmentation
M Kots, M Pozigun, A Konstantinov, V Chukanov
Proceedings of International Scientific Conference on Telecommunications …, 2021
The system can't perform the operation now. Try again later.
Articles 1–20