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Arian Prabowo
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Journal Articles
- 2024
- [j3]Arian Prabowo, Hao Xue, Wei Shao, Piotr Koniusz, Flora D. Salim:
Traffic forecasting on new roads using spatial contrastive pre-training (SCPT). Data Min. Knowl. Discov. 38(3): 913-937 (2024) - 2022
- [j2]Wei Shao, Arian Prabowo, Sichen Zhao, Piotr Koniusz, Flora D. Salim:
Predicting flight delay with spatio-temporal trajectory convolutional network and airport situational awareness map. Neurocomputing 472: 280-293 (2022) - [j1]Nan Gao, Hao Xue, Wei Shao, Sichen Zhao, Kyle Kai Qin, Arian Prabowo, Mohammad Saiedur Rahaman, Flora D. Salim:
Generative Adversarial Networks for Spatio-temporal Data: A Survey. ACM Trans. Intell. Syst. Technol. 13(2): 22:1-22:25 (2022)
Conference and Workshop Papers
- 2024
- [c6]Du Yin, Jinliang Deng, Shuang Ao, Zechen Li, Hao Xue, Arian Prabowo, Renhe Jiang, Xuan Song, Flora D. Salim:
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned. SIGSPATIAL/GIS 2024: 42-53 - 2023
- [c5]Arian Prabowo, Wei Shao, Hao Xue, Piotr Koniusz, Flora D. Salim:
Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting. IoTDI 2023: 93-104 - [c4]Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim:
Continually Learning Out-of-Distribution Spatiotemporal Data for Robust Energy Forecasting. ECML/PKDD (7) 2023: 3-19 - [c3]Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim:
Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning. BuildSys 2023: 41-50 - 2019
- [c2]Wei Shao, Arian Prabowo, Sichen Zhao, Siyu Tan, Piotr Koniusz, Jeffrey Chan, Xinhong Hei, Bradley Feest, Flora D. Salim:
Flight Delay Prediction using Airport Situational Awareness Map. SIGSPATIAL/GIS 2019: 432-435 - [c1]Arian Prabowo, Piotr Koniusz, Wei Shao, Flora D. Salim:
COLTRANE: ConvolutiOnaL TRAjectory NEtwork for Deep Map Inference. BuildSys 2019: 21-30
Informal and Other Publications
- 2024
- [i14]Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Stephen White, Flora D. Salim:
A Gap in Time: The Challenge of Processing Heterogeneous IoT Point Data in Buildings. CoRR abs/2405.14267 (2024) - [i13]Arian Prabowo, Xiachong Lin, Imran Razzak, Hao Xue, Emily W. Yap, Matthew Amos, Flora D. Salim:
BTS: Building Timeseries Dataset: Empowering Large-Scale Building Analytics. CoRR abs/2406.08990 (2024) - [i12]Du Yin, Hao Xue, Arian Prabowo, Shuang Ao, Flora D. Salim:
XXLTraffic: Expanding and Extremely Long Traffic Dataset for Ultra-Dynamic Forecasting Challenges. CoRR abs/2406.12693 (2024) - [i11]Du Yin, Jinliang Deng, Shuang Ao, Zechen Li, Hao Xue, Arian Prabowo, Renhe Jiang, Xuan Song, Flora D. Salim:
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned. CoRR abs/2406.12709 (2024) - [i10]Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Flora D. Salim:
Exploring Capabilities of Time Series Foundation Models in Building Analytics. CoRR abs/2411.08888 (2024) - 2023
- [i9]Arian Prabowo, Wei Shao, Hao Xue, Piotr Koniusz, Flora D. Salim:
Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting. CoRR abs/2302.09956 (2023) - [i8]Arian Prabowo, Wei Shao, Hao Xue, Piotr Koniusz, Flora D. Salim:
Traffic Forecasting on New Roads Unseen in the Training Data Using Spatial Contrastive Pre-Training. CoRR abs/2305.05237 (2023) - [i7]Arian Prabowo, Hao Xue, Wei Shao, Piotr Koniusz, Flora D. Salim:
Message Passing Neural Networks for Traffic Forecasting. CoRR abs/2305.05740 (2023) - [i6]Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim:
Continually learning out-of-distribution spatiotemporal data for robust energy forecasting. CoRR abs/2306.06385 (2023) - [i5]Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim:
Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning. CoRR abs/2309.04296 (2023) - 2021
- [i4]Wei Shao, Arian Prabowo, Sichen Zhao, Piotr Koniusz, Flora D. Salim:
Predicting Flight Delay with Spatio-Temporal Trajectory Convolutional Network and Airport Situational Awareness Map. CoRR abs/2105.08969 (2021) - 2020
- [i3]Nan Gao, Hao Xue, Wei Shao, Sichen Zhao, Kyle Kai Qin, Arian Prabowo, Mohammad Saiedur Rahaman, Flora D. Salim:
Generative Adversarial Networks for Spatio-temporal Data: A Survey. CoRR abs/2008.08903 (2020) - 2019
- [i2]Arian Prabowo, Piotr Koniusz, Wei Shao, Flora D. Salim:
COLTRANE: ConvolutiOnaL TRAjectory NEtwork for Deep Map Inference. CoRR abs/1909.11048 (2019) - [i1]Wei Shao, Arian Prabowo, Sichen Zhao, Siyu Tan, Piotr Koniusz, Jeffrey Chan, Xinhong Hei, Bradley Feest, Flora D. Salim:
Flight Delay Prediction using Airport Situational Awareness Map. CoRR abs/1911.01605 (2019)
Coauthor Index
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