By Dr Arian Prabowo

Book Chapters

Prabowo A; Chen K; Xue H; Sethuvenkatraman S; Salim FD, 2023, 'Continually Learning Out-of-Distribution Spatiotemporal Data for Robust Energy Forecasting', in , pp. 3 - 19, http://dx.doi.org/10.1007/978-3-031-43430-3_1

Prabowo A; Chen K; Xue H; Sethuvenkatraman S; Salim FD, 2023, 'Correction to: Continually Learning Out-of-Distribution Spatiotemporal Data for Robust Energy Forecasting', in Lecture Notes in Computer Science, Springer Nature Switzerland, pp. C1 - C2, http://dx.doi.org/10.1007/978-3-031-43430-3_34

Journal articles

Prabowo A; Xue H; Shao W; Koniusz P; Salim FD, 2023, 'Traffic forecasting on new roads using spatial contrastive pre-training (SCPT)', Data Mining and Knowledge Discovery, http://dx.doi.org/10.1007/s10618-023-00982-0

Shao W; Prabowo A; Zhao S; Koniusz P; Salim FD, 2022, 'Predicting flight delay with spatio-temporal trajectory convolutional network and airport situational awareness map', Neurocomputing, 472, pp. 280 - 293, http://dx.doi.org/10.1016/j.neucom.2021.04.136

Conference Papers

Prabowo A; Chen K; Xue H; Sethuvenkatraman S; Salim FD, 2023, 'Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning', in BuildSys 2023 - Proceedings of the10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, pp. 41 - 50, http://dx.doi.org/10.1145/3600100.3623726

Prabowo A; Shao W; Xue H; Koniusz P; Salim FD, 2023, 'Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting', in ACM International Conference Proceeding Series, pp. 93 - 104, http://dx.doi.org/10.1145/3576842.3582362

Preprints

Prabowo A; Chen K; Xue H; Sethuvenkatraman S; Salim FD, 2023, Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning, , http://dx.doi.org/10.1145/3600100.3623726

Prabowo A; Chen K; Xue H; Sethuvenkatraman S; Salim FD, 2023, Continually learning out-of-distribution spatiotemporal data for robust energy forecasting, , http://dx.doi.org/10.1007/978-3-031-43430-3_1

Prabowo A; Xue H; Shao W; Koniusz P; Salim FD, 2023, Message Passing Neural Networks for Traffic Forecasting, , http://arxiv.org/abs/2305.05740v1

Prabowo A; Xue H; Shao W; Koniusz P; Salim FD, 2023, Traffic Forecasting on New Roads Using Spatial Contrastive Pre-Training (SCPT), , http://dx.doi.org/10.1007/s10618-023-00982-0

Prabowo A; Shao W; Xue H; Koniusz P; Salim FD, 2023, Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting, , http://dx.doi.org/10.1145/3576842.3582362

Shao W; Prabowo A; Zhao S; Koniusz P; Salim FD, 2021, Predicting Flight Delay with Spatio-Temporal Trajectory Convolutional Network and Airport Situational Awareness Map, , http://dx.doi.org/10.1016/j.neucom.2021.04.136

Gao N; Xue H; Shao W; Zhao S; Qin KK; Prabowo A; Rahaman MS; Salim FD, 2020, Generative Adversarial Networks for Spatio-temporal Data: A Survey, , http://dx.doi.org/10.1145/3474838

Shao W; Prabowo A; Zhao S; Tan S; Konuiusz P; Chan J; Hei X; Feest B; Salim FD, 2019, Flight Delay Prediction using Airport Situational Awareness Map, , http://arxiv.org/abs/1911.01605v1

Prabowo A; Koniusz P; Shao W; Salim FD, 2019, COLTRANE: ConvolutiOnaL TRAjectory NEtwork for Deep Map Inference, , http://dx.doi.org/10.1145/3360322.3360853

Back to profile page