| XAI evaluation: evaluating black-box model explanations for prediction Y Zhang, F Xu, J Zou, OL Petrosian, KV Krinkin 2021 II International conference on neural networks and neurotechnologies …, 2021 | 81 | 2021 |
| Comparison and explanation of forecasting algorithms for energy time series Y Zhang, R Ma, J Liu, X Liu, O Petrosian, K Krinkin Mathematics 9 (21), 2794, 2021 | 59 | 2021 |
| High-dimensional explainable AI for cancer detection J Zou, F Xu, Y Zhang, O Petrosian, K Krinkin International Journal of Artificial Intelligence 19 (2), 195, 2021 | 48 | 2021 |
| FI-SHAP: explanation of time series forecasting and improvement of feature engineering based on boosting algorithm Y Zhang, O Petrosian, J Liu, R Ma, K Krinkin Proceedings of SAI intelligent systems conference, 745-758, 2022 | 43 | 2022 |
| Prediction of next app in os R Ma, Y Zhang, J Liu, O Petrosian, K Krinkin 2022 III International conference on neural networks and neurotechnologies …, 2022 | 41 | 2022 |
| Long-Term Forecasting of Air Pollution Particulate Matter (PM2. 5) and Analysis of Influencing Factors Y Zhang, Q Sun, J Liu, O Petrosian Sustainability 16 (1), 19, 2023 | 5 | 2023 |
| Modeling of the thermal softening of metals under impact loads and their temperature–time correspondence S Zhao, YV Petrov, Y Zhang, GA Volkov, Z Xu, F Huang International Journal of Engineering Science 194, 103969, 2024 | 4 | 2024 |
| Forecasting and XAI for Applications Usage in OS R Ma, Y Zhang, J Liu, Y Li, O Petrosian, K Krinkin Machine Learning and Artificial Intelligence, 17-27, 2022 | 3 | 2022 |
| Resource Allocation in Heterogeneous Network with Supervised GNNs Q Sun, Y Zhang, H Wu, O Petrosian International Conference on Swarm Intelligence, 350-361, 2023 | 2 | 2023 |
| ShapTime: A General XAI Approach for Explainable Time Series Forecasting Y Zhang, Q Sun, D Qi, J Liu, R Ma, O Petrosian Proceedings of SAI Intelligent Systems Conference, 659-673, 2023 | 1 | 2023 |
