| Incident duration prediction using a bi-level machine learning framework with outlier removal and intra–extra joint optimisation A Grigorev, AS Mihaita, S Lee, F Chen Transportation research part C: emerging technologies 141, 103721, 2022 | 22 | 2022 |
| Traffic accident risk forecasting using contextual vision transformers K Saleh, A Grigorev, AS Mihaita 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 8 | 2022 |
| Traffic incident duration prediction via a deep learning framework for text description encoding A Grigorev, AS Mihăiţă, K Saleh, M Piccardi 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 7 | 2022 |
| How will electric vehicles affect traffic congestion and energy consumption: an integrated modelling approach A Grigorev, T Mao, A Berry, J Tan, L Purushothaman, AS Mihaita 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 7 | 2021 |
| Automatic Accident Detection, Segmentation and Duration Prediction Using Machine Learning A Grigorev, AS Mihăiţă, K Saleh, F Chen IEEE Transactions on Intelligent Transportation Systems, 2023 | 1 | 2023 |
| Anomaly detection using adaptive suppression A Grigorev, O Severiukhina, I Derevitskii Procedia Computer Science 156, 274-282, 2019 | 1 | 2019 |
| Analysis of special transport behavior using computer vision analysis of video from traffic cameras G Artur, I Derevitskii, K Bochenina Digital Transformation and Global Society: Third International Conference …, 2018 | 1 | 2018 |
| Traffic Accident Risk Forecasting using Contextual Vision Transformers with Static Map Generation and Coarse-Fine-Coarse Transformers A Grigorev, K Saleh, AS Mihaita 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | | 2023 |
| Traffic incident duration prediction enhancement via text description encoding A Grigorev, AS Mihaita, K Saleh, M Piccardi | | |
