| Graph neural networks for intelligent transportation systems: A survey S Rahmani, A Baghbani, N Bouguila, Z Patterson IEEE Transactions on Intelligent Transportation Systems 24 (8), 8846-8885, 2023 | 114 | 2023 |
| Short-term passenger flow prediction using a bus network graph convolutional long short-term memory neural network model A Baghbani, N Bouguila, Z Patterson Transportation Research Record 2677 (2), 1331-1340, 2023 | 26 | 2023 |
| Walking trip generation and built environment: a comparative study on trip purposes A Hosseinzadeh, A Baghbani | 7 | 2020 |
| Predictors of walking duration time and walking mode: duration and logit models on tour-based Data A Baghbani, A Shariat Mohaymany, S Rahmani, A Sayad, M Mehdizadeh Quarterly Journal of Transportation Engineering 11 (2), 283-300, 2019 | 2 | 2019 |
| Multi-STGAC: A Graph Attention Based Model for Short-term Bus Passenger Flow Forecasting M Chaaben, A Baghbani, N Bouguila, Z Patterson 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | | 2023 |
| Predicting Passenger Flow Using Graph Neural Networks with Scheduled Sampling on Bus Networks A Baghbani, S Rahmani, N Bouguila, Z Patterson 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | | 2023 |
| Short-Term Bus Passenger Flow Prediction Using Multi-Component Graph Attention Neural Network Model M Chaaben, A Baghbani, N Bouguila, Z Patterson Transportation Research Board 102nd Annual Meeting, 2023 | | 2023 |
| Multi-Step Short-Term Passenger Flow Prediction in Bus Networks Using Graph-Based Deep Learning Model A Baghbani, S Rahmani, N Bouguila, Z Patterson Transportation Research Board 102nd Annual Meeting, 2023 | | 2023 |
| Modeling the Number and Duration of Non-mandatory Trips: Case Study of Mashhad in Iran A Baghbani Iran University of Science and Technology, 2018 | | 2018 |
Nizar BouguilaProfessorAdresse e-mail validée de concordia.ca