| 2026 | ICAART | Ontology-Guided Hierarchical Preference Elicitation with Bayesian Active Querying. | Anton Agafonov, Andrew Ponomarev, Alexander Smirnov |
| 2025 | IJCCI | Analysis of Strategies for Interacting with Large Language Models in Meeting Time Optimization. | Anton Agafonov, Andrew Ponomarev |
| 2024 | CHIRA | User Perception of Ontology-Based Explanations of AI Models. | Anton Agafonov, Andrew Ponomarev, Alexander V. Smirnov |
| 2024 | HCI | Ontology-Based Explanations of Neural Networks: A User Perspective. | Andrew Ponomarev, Anton Agafonov |
| 2023 | FRUCT | RevelioNN: Retrospective Extraction of Visual and Logical Insights for Ontology-Based Interpretation of Neural Networks. | Anton Agafonov, Andrew Ponomarev |
| 2022 | FRUCT | Ontology Concept Extraction Algorithm for Deep Neural Networks. | Andrew Ponomarev, Anton Agafonov |
| 2022 | ICMLA | Ontology-Based Post-Hoc Explanations via Simultaneous Concept Extraction. | Andrew Ponomarev, Anton Agafonov |
| 2021 | FedCSIS | Traffic Signal Control: a Double Q-learning Approach. | Anton Agafonov, Vladislav V. Myasnikov |
| 2020 | FedCSIS | Map Matching Algorithm Based on Dynamic Programming Approach. | Alexander Yumaganov, Anton Agafonov, Vladislav V. Myasnikov |
| 2020 | FedCSIS | An Improved Map Matching Algorithm Based on Dynamic Programming Approach. | Alexander Yumaganov, Anton Agafonov, Vladislav V. Myasnikov |
| 2019 | ISNN | Bus Arrival Time Prediction with LSTM Neural Network. | Anton Agafonov, Alexander Yumaganov |
| 2018 | IDEAL | Spatial-Temporal K Nearest Neighbors Model on MapReduce for Traffic Flow Prediction. | Anton Agafonov, Alexander Yumaganov |
| 2016 | AIST | Structural Optimization of the Travel Time Prediction Model Based on Hierarchical Regression. | Anton Agafonov, Vladislav V. Myasnikov |
| 2015 | AIST | Traffic Flow Forecasting Algorithm Based on Combination of Adaptive Elementary Predictors. | Anton Agafonov, Vladislav V. Myasnikov |