AGBoost: Attention-based Modification of Gradient Boosting Machine. - Andrei V. Konstantinov; Lev V. Utkin; Stanislav Kirpichenko (FRUCT, 2022)

BENK: The Beran Estimator with Neural Kernels for Estimating the Heterogeneous Treatment Effect. - Stanislav R. Kirpichenko; Lev V. Utkin; Andrei V. Konstantinov (CoRR, 2022)

Heterogeneous Treatment Effect with Trained Kernels of the Nadaraya-Watson Regression. - Andrei V. Konstantinov; Stanislav Kirpichenko; Lev V. Utkin (Algorithms, 2023)

Attention and self-attention in random forests. - Lev V. Utkin; Andrei V. Konstantinov; Stanislav R. Kirpichenko (Prog. Artif. Intell., 2023)

BENK: The Beran Estimator with Neural Kernels for Estimating the Heterogeneous Treatment Effect. - Stanislav Kirpichenko; Lev V. Utkin; Andrei V. Konstantinov; Vladimir Muliukha (Algorithms, 2024)

Dual feature-based and example-based explanation methods. - Andrei V. Konstantinov; Boris V. Kozlov; Stanislav R. Kirpichenko; Lev V. Utkin (CoRR, 2024)

Generating Survival Interpretable Trajectories and Data. - Andrei V. Konstantinov; Stanislav R. Kirpichenko; Lev V. Utkin (CoRR, 2024)

FI-CBL: A Probabilistic Method for Concept-Based Learning with Expert Rules. - Lev V. Utkin; Andrei V. Konstantinov; Stanislav R. Kirpichenko (CoRR, 2024)

Dual feature-based and example-based explanation methods. - Andrei V. Konstantinov; Boris V. Kozlov; Stanislav Kirpichenko; Lev V. Utkin; Vladimir Muliukha (Frontiers Artif. Intell., 2025)

Survival Concept-Based Learning Models. - Stanislav R. Kirpichenko; Lev V. Utkin; Andrei V. Konstantinov; Natalya M. Verbova (CoRR, 2025)