| Generative adversarial networks for spatio-temporal data: A survey N Gao, H Xue, W Shao, S Zhao, KK Qin, A Prabowo, MS Rahaman, ... ACM Transactions on Intelligent Systems and Technology (TIST) 13 (2), 1-25, 2022 | 91 | 2022 |
| Flight delay prediction using airport situational awareness map W Shao, A Prabowo, S Zhao, S Tan, P Koniusz, J Chan, X Hei, B Feest, ... Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances …, 2019 | 32 | 2019 |
| Predicting flight delay with spatio-temporal trajectory convolutional network and airport situational awareness map W Shao, A Prabowo, S Zhao, P Koniusz, FD Salim Neurocomputing 472, 280-293, 2022 | 29 | 2022 |
| Coltrane: Convolutional trajectory network for deep map inference A Prabowo, P Koniusz, W Shao, FD Salim Proceedings of the 6th ACM International Conference on Systems for Energy …, 2019 | 16 | 2019 |
| Because every sensor is unique, so is every pair: Handling dynamicity in traffic forecasting A Prabowo, W Shao, H Xue, P Koniusz, FD Salim Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and …, 2023 | 6 | 2023 |
| Message passing neural networks for traffic forecasting A Prabowo, H Xue, W Shao, P Koniusz, FD Salim arXiv preprint arXiv:2305.05740, 2023 | 4 | 2023 |
| Traffic forecasting on new roads using spatial contrastive pre-training (SCPT) A Prabowo, H Xue, W Shao, P Koniusz, FD Salim Data Mining and Knowledge Discovery, 1-25, 2023 | 3* | 2023 |
| Continually learning out-of-distribution spatiotemporal data for robust energy forecasting A Prabowo, K Chen, H Xue, S Sethuvenkatraman, FD Salim arXiv preprint arXiv:2306.06385, 2023 | 3 | 2023 |
| Spatiotemporal deep learning A Prabowo RMIT University, 2022 | 2 | 2022 |
| Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning A Prabowo, K Chen, H Xue, S Sethuvenkatraman, FD Salim Proceedings of the 10th ACM International Conference on Systems for Energy …, 2023 | | 2023 |
| Correction to: Continually Learning Out-of-Distribution Spatiotemporal Data for Robust Energy Forecasting A Prabowo, K Chen, H Xue, S Sethuvenkatraman, FD Salim Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | | 2023 |
| Continually learning out-of-distribution spatiotemporal data for robust energy forecasting (preprint) A Prabowo, K Chen, H Xue, S Sethuvenkatraman, FD Salim | | 2023 |
Flora SalimProfessor, Cisco Chair of Digital Transport, Computer Science and Engineering, UNSWVerified email at unsw.edu.au
