| 2022 | FRUCT | Multiple Instance Learning through Explanation by Using a Histopathology Example. | Andrei V. Konstantinov, Lev V. Utkin |
| 2022 | FRUCT | AGBoost: Attention-based Modification of Gradient Boosting Machine. | Andrei V. Konstantinov, Lev V. Utkin, Stanislav Kirpichenko |
| 2021 | FRUCT | Gradient Boosting Machine with Partially Randomized Decision Trees. | Andrei V. Konstantinov, Lev V. Utkin, Vladimir Muliukha |
| 2021 | FRUCT | Combining an Autoencoder and a Variational Autoencoder for Explaining the Machine Learning Model Predictions. | Lev V. Utkin, Pavel D. Drobintsev, Maxim Kovalev, Andrei V. Konstantinov |
| 2020 | ESANN | Anomaly Detection Approach in Cyber Security for User and Entity Behavior Analytics System. | Vladimir Muliukha, Alexey Lukashin, Lev V. Utkin, Mikhail Popov, Anna A. Meldo |
| 2019 | FRUCT | Database Acquisition for the Lung Cancer Computer Aided Diagnostic Systems. | Anna A. Meldo, Lev V. Utkin, Alexey Lukashin, Vladimir Muliukha, Vladimir S. Zaborovsky |
| 2019 | FRUCT | A Deep Forest Improvement by Using Weighted Schemes. | Lev V. Utkin, Andrei V. Konstantinov, Anna A. Meldo, Mikhail A. Ryabinin, Viacheslav S. Chukanov |
| 2019 | FRUCT | An Ensemble of Triplet Neural Networks for Differential Diagnostics of Lung Cancer. | Lev V. Utkin, Anna A. Meldo, Maxim Kovalev, Ernest M. Kasimov |