Interpretable machine learning with an ensemble of gradient boosting machines AV Konstantinov, LV Utkin Knowledge-Based Systems 222, 106993, 2021 | 91 | 2021 |
A weighted random survival forest LV Utkin, AV Konstantinov, VS Chukanov, MV Kots, MA Ryabinin, ... Knowledge-based systems 177, 136-144, 2019 | 48 | 2019 |
Attention-based random forest and contamination model LV Utkin, AV Konstantinov Neural Networks 154, 346-359, 2022 | 24 | 2022 |
Counterfactual explanation of machine learning survival models M Kovalev, L Utkin, F Coolen, A Konstantinov Informatica 32 (4), 817-847, 2021 | 19 | 2021 |
Ensembles of random SHAPs L Utkin, A Konstantinov Algorithms 15 (11), 431, 2022 | 16 | 2022 |
SurvNAM: The machine learning survival model explanation LV Utkin, ED Satyukov, AV Konstantinov Neural Networks 147, 81-102, 2022 | 16 | 2022 |
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 | 15 | 2019 |
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 | 13 | 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 | 12 | 2019 |
Gradient Boosting Machine with Partially Randomized Decision Trees A Konstantinov, L Utkin, V Muliukha 2021 28th Conference of Open Innovations Association (FRUCT), 2021 | 10 | 2021 |
Multi-attention multiple instance learning AV Konstantinov, LV Utkin Neural Computing and Applications 34 (16), 14029-14051, 2022 | 9 | 2022 |
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 | 8 | 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 | 8 | 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 | 6 | 2021 |
Attention and self-attention in random forests LV Utkin, AV Konstantinov, SR Kirpichenko Progress in Artificial Intelligence 12 (3), 257-273, 2023 | 4 | 2023 |
Uncertainty interpretation of the machine learning survival model predictions LV Utkin, VS Zaborovsky, MS Kovalev, AV Konstantinov, NA Politaeva, ... IEEE Access 9, 120158-120175, 2021 | 4 | 2021 |
An adaptive weighted deep forest classifier LV Utkin, AV Konstantinov, VS Chukanov, MV Kots, AA Meldo arXiv preprint arXiv:1901.01334, 2019 | 4 | 2019 |
A new computationally simple approach for implementing neural networks with output hard constraints AV Konstantinov, LV Utkin Doklady Mathematics, 1-9, 2024 | 3 | 2024 |
Attention-like feature explanation for tabular data AV Konstantinov, LV Utkin International Journal of Data Science and Analytics 16 (1), 1-26, 2023 | 3 | 2023 |
Heterogeneous treatment effect with trained kernels of the Nadaraya–Watson regression A Konstantinov, S Kirpichenko, L Utkin Algorithms 16 (5), 226, 2023 | 3 | 2023 |