Andrei V. Konstantinov

63 papers Misc 5Journal 56Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Regression Analysis Under Interval-Valued Targets as an Imprecise Classification Problem. Algorithms Lev V. Utkin, Stanislav Kogan, Andrei V. Konstantinov, Vladimir Muliukha
2025	J	`jnl`	A novel gradient-based method for decision trees optimizing arbitrary differential loss functions. CoRR Andrei V. Konstantinov, Lev V. Utkin
2025	J	`jnl`	Dual feature-based and example-based explanation methods. Frontiers Artif. Intell. Andrei V. Konstantinov, Boris V. Kozlov, Stanislav Kirpichenko, Lev V. Utkin, Vladimir Muliukha
2025	J	`jnl`	Ensemble-Based Survival Models with the Self-Attended Beran Estimator Predictions. CoRR Lev V. Utkin, Semen P. Khomets, Vlada A. Efremenko, Andrei V. Konstantinov, Natalya M. Verbova
2025	—	`conf`	Set-Input Trees: An Interpretable Multiple Instance Learning Architecture for Robotics. ICR (2) Andrei V. Konstantinov, Lev V. Utkin
2025	J	`jnl`	SurvBeNIM: The Beran-Based Neural Importance Model for Explaining Survival Models. IEEE Access Lev V. Utkin, Danila Y. Eremenko, Andrei V. Konstantinov, Vladimir Mulukha
2025	J	`jnl`	SurvBeX: an explanation method of the machine learning survival models based on the Beran estimator. Int. J. Data Sci. Anal. Lev V. Utkin, Danila Y. Eremenko, Andrei V. Konstantinov
2025	J	`jnl`	Survival Analysis as Imprecise Classification with Trainable Kernels. CoRR Andrei V. Konstantinov, Vlada A. Efremenko, Lev V. Utkin
2025	J	`jnl`	Survival Concept-Based Learning Models. CoRR Stanislav R. Kirpichenko, Lev V. Utkin, Andrei V. Konstantinov, Natalya M. Verbova
2025	J	`jnl`	Survival concept-based learning models. J. Intell. Inf. Syst. Stanislav R. Kirpichenko, Lev V. Utkin, Andrei V. Konstantinov, Natalya M. Verbova
2025	J	`jnl`	Towards a Relationship-Aware Transformer for Tabular Data. CoRR Andrei V. Konstantinov, Valerii A. Zuev, Lev V. Utkin
2024	J	`jnl`	BENK: The Beran Estimator with Neural Kernels for Estimating the Heterogeneous Treatment Effect. Algorithms Stanislav Kirpichenko, Lev V. Utkin, Andrei V. Konstantinov, Vladimir Muliukha
2024	J	`jnl`	Dual feature-based and example-based explanation methods. CoRR Andrei V. Konstantinov, Boris V. Kozlov, Stanislav R. Kirpichenko, Lev V. Utkin
2024	J	`jnl`	FI-CBL: A Probabilistic Method for Concept-Based Learning with Expert Rules. CoRR Lev V. Utkin, Andrei V. Konstantinov, Stanislav R. Kirpichenko
2024	J	`jnl`	Generating Survival Interpretable Trajectories and Data. CoRR Andrei V. Konstantinov, Stanislav R. Kirpichenko, Lev V. Utkin
2024	J	`jnl`	Incorporating Expert Rules into Neural Networks in the Framework of Concept-Based Learning. CoRR Andrei V. Konstantinov, Lev V. Utkin
2024	J	`jnl`	SurvBETA: Ensemble-Based Survival Models Using Beran Estimators and Several Attention Mechanisms. CoRR Lev V. Utkin, Semen P. Khomets, Vlada A. Efremenko, Andrei V. Konstantinov
2023	J	`jnl`	A New Computationally Simple Approach for Implementing Neural Networks with Output Hard Constraints. CoRR Andrei V. Konstantinov, Lev V. Utkin
2023	J	`jnl`	Attention and self-attention in random forests. Prog. Artif. Intell. Lev V. Utkin, Andrei V. Konstantinov, Stanislav R. Kirpichenko
2023	J	`jnl`	Attention-like feature explanation for tabular data. Int. J. Data Sci. Anal. Andrei V. Konstantinov, Lev V. Utkin
2023	—	`conf`	GBMILs: Gradient Boosting Models for Multiple Instance Learning. ICR Andrei V. Konstantinov, Lev V. Utkin, Vladimir Muliukha, Vladimir S. Zaborovsky
2023	J	`jnl`	Heterogeneous Treatment Effect with Trained Kernels of the Nadaraya-Watson Regression. Algorithms Andrei V. Konstantinov, Stanislav Kirpichenko, Lev V. Utkin
2023	J	`jnl`	Improved Anomaly Detection by Using the Attention-Based Isolation Forest. Algorithms Lev V. Utkin, Andrey Y. Ageev, Andrei V. Konstantinov, Vladimir Muliukha
2023	J	`jnl`	Interpretable Ensembles of Hyper-Rectangles as Base Models. CoRR Andrei V. Konstantinov, Lev V. Utkin
2023	J	`jnl`	Interpretable ensembles of hyper-rectangles as base models. Neural Comput. Appl. Andrei V. Konstantinov, Lev V. Utkin
2023	J	`jnl`	LARF: Two-Level Attention-Based Random Forests with a Mixture of Contamination Models. Informatics Andrei V. Konstantinov, Lev V. Utkin, Vladimir Muliukha
2023	J	`jnl`	Multiple Instance Learning with Trainable Decision Tree Ensembles. CoRR Andrei V. Konstantinov, Lev V. Utkin
2023	J	`jnl`	Multiple Instance Learning with Trainable Soft Decision Tree Ensembles. Algorithms Andrei V. Konstantinov, Lev V. Utkin, Vladimir Muliukha
2023	J	`jnl`	Neural Attention Forests: Transformer-Based Forest Improvement. CoRR Andrei V. Konstantinov, Lev V. Utkin, Alexey Lukashin, Vladimir Muliukha
2023	J	`jnl`	SurvBeNIM: The Beran-Based Neural Importance Model for Explaining the Survival Models. CoRR Lev V. Utkin, Danila Y. Eremenko, Andrei V. Konstantinov
2023	J	`jnl`	SurvBeX: An explanation method of the machine learning survival models based on the Beran estimator. CoRR Lev V. Utkin, Danila Y. Eremenko, Andrei V. Konstantinov
2022	Misc	`conf`	AGBoost: Attention-based Modification of Gradient Boosting Machine. FRUCT Andrei V. Konstantinov, Lev V. Utkin, Stanislav Kirpichenko
2022	J	`jnl`	AGBoost: Attention-based Modification of Gradient Boosting Machine. CoRR Andrei V. Konstantinov, Lev V. Utkin, Stanislav Kirpichenko
2022	J	`jnl`	Attention and Self-Attention in Random Forests. CoRR Lev V. Utkin, Andrei V. Konstantinov
2022	J	`jnl`	Attention-based Random Forest and Contamination Model. CoRR Lev V. Utkin, Andrei V. Konstantinov
2022	J	`jnl`	Attention-based random forest and contamination model. Neural Networks Lev V. Utkin, Andrei V. Konstantinov
2022	J	`jnl`	BENK: The Beran Estimator with Neural Kernels for Estimating the Heterogeneous Treatment Effect. CoRR Stanislav R. Kirpichenko, Lev V. Utkin, Andrei V. Konstantinov
2022	J	`jnl`	Ensembles of Random SHAPs. Algorithms Lev V. Utkin, Andrei V. Konstantinov
2022	J	`jnl`	Heterogeneous Treatment Effect with Trained Kernels of the Nadaraya-Watson Regression. CoRR Andrei V. Konstantinov, Stanislav R. Kirpichenko, Lev V. Utkin
2022	J	`jnl`	Improved Anomaly Detection by Using the Attention-Based Isolation Forest. CoRR Lev V. Utkin, Andrey Y. Ageev, Andrei V. Konstantinov
2022	J	`jnl`	LARF: Two-level Attention-based Random Forests with a Mixture of Contamination Models. CoRR Andrei V. Konstantinov, Lev V. Utkin
2022	J	`jnl`	Multi-attention multiple instance learning. Neural Comput. Appl. Andrei V. Konstantinov, Lev V. Utkin
2022	Misc	`conf`	Multiple Instance Learning through Explanation by Using a Histopathology Example. FRUCT Andrei V. Konstantinov, Lev V. Utkin
2022	J	`jnl`	SurvNAM: The machine learning survival model explanation. Neural Networks Lev V. Utkin, Egor D. Satyukov, Andrei V. Konstantinov
2021	J	`jnl`	An Imprecise SHAP as a Tool for Explaining the Class Probability Distributions under Limited Training Data. CoRR Lev V. Utkin, Andrei V. Konstantinov, Kirill A. Vishniakov
2021	J	`jnl`	Attention-like feature explanation for tabular data. CoRR Andrei V. Konstantinov, Lev V. Utkin
2021	Misc	`conf`	Combining an Autoencoder and a Variational Autoencoder for Explaining the Machine Learning Model Predictions. FRUCT Lev V. Utkin, Pavel D. Drobintsev, Maxim Kovalev, Andrei V. Konstantinov
2021	J	`jnl`	Counterfactual Explanation of Machine Learning Survival Models. Informatica Maxim Kovalev, Lev V. Utkin, Frank P. A. Coolen, Andrei V. Konstantinov
2021	J	`jnl`	Ensembles of Random SHAPs. CoRR Lev V. Utkin, Andrei V. Konstantinov
2021	Misc	`conf`	Gradient Boosting Machine with Partially Randomized Decision Trees. FRUCT Andrei V. Konstantinov, Lev V. Utkin, Vladimir Muliukha
2021	J	`jnl`	Interpretable machine learning with an ensemble of gradient boosting machines. Knowl. Based Syst. Andrei V. Konstantinov, Lev V. Utkin
2021	J	`jnl`	Multi-Attention Multiple Instance Learning. CoRR Andrei V. Konstantinov, Lev V. Utkin
2021	J	`jnl`	SurvNAM: The machine learning survival model explanation. CoRR Lev V. Utkin, Egor D. Satyukov, Andrei V. Konstantinov
2021	J	`jnl`	Uncertainty Interpretation of the Machine Learning Survival Model Predictions. IEEE Access Lev V. Utkin, Vladimir S. Zaborovsky, Maxim S. Kovalev, Andrei V. Konstantinov, Natalia A. Politaeva, Alexey Lukashin
2020	J	`jnl`	A Generalized Stacking for Implementing Ensembles of Gradient Boosting Machines. CoRR Andrei V. Konstantinov, Lev V. Utkin
2020	J	`jnl`	A New Adaptive Weighted Deep Forest and Its Modifications. Int. J. Inf. Technol. Decis. Mak. Lev V. Utkin, Andrei V. Konstantinov, Viacheslav S. Chukanov, Anna A. Meldo
2020	J	`jnl`	Estimation of Personalized Heterogeneous Treatment Effects Using Concatenation and Augmentation of Feature Vectors. Int. J. Artif. Intell. Tools Lev V. Utkin, Mikhail V. Kots, Viacheslav S. Chukanov, Andrei V. Konstantinov, Anna A. Meldo
2020	J	`jnl`	Gradient boosting machine with partially randomized decision trees. CoRR Andrei V. Konstantinov, Lev V. Utkin
2020	J	`jnl`	Interpretable Machine Learning with an Ensemble of Gradient Boosting Machines. CoRR Andrei V. Konstantinov, Lev V. Utkin
2019	Misc	`conf`	A Deep Forest Improvement by Using Weighted Schemes. FRUCT Lev V. Utkin, Andrei V. Konstantinov, Anna A. Meldo, Mikhail A. Ryabinin, Viacheslav S. Chukanov
2019	J	`jnl`	A weighted random survival forest. CoRR Lev V. Utkin, Andrei V. Konstantinov, Viacheslav S. Chukanov, Mikhail V. Kots, Mikhail A. Ryabinin, Anna A. Meldo
2019	J	`jnl`	A weighted random survival forest. Knowl. Based Syst. Lev V. Utkin, Andrei V. Konstantinov, Viacheslav S. Chukanov, Mikhail V. Kots, Mikhail A. Ryabinin, Anna A. Meldo
2019	J	`jnl`	An Adaptive Weighted Deep Forest Classifier. CoRR Lev V. Utkin, Andrei V. Konstantinov, Viacheslav S. Chukanov, Mikhail V. Kots, Anna A. Meldo