Arian Prabowo

Orcid: 0000-0002-0459-354X

According to our database1, Arian Prabowo authored at least 10 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Traffic forecasting on new roads using spatial contrastive pre-training (SCPT).
Data Min. Knowl. Discov., May, 2024

2023
Message Passing Neural Networks for Traffic Forecasting.
CoRR, 2023

Traffic Forecasting on New Roads Unseen in the Training Data Using Spatial Contrastive Pre-Training.
CoRR, 2023

Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning.
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

Continually Learning Out-of-Distribution Spatiotemporal Data for Robust Energy Forecasting.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting.
Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation, 2023

2022
Generative Adversarial Networks for Spatio-temporal Data: A Survey.
ACM Trans. Intell. Syst. Technol., 2022

Predicting flight delay with spatio-temporal trajectory convolutional network and airport situational awareness map.
Neurocomputing, 2022

2019
COLTRANE: ConvolutiOnaL TRAjectory NEtwork for Deep Map Inference.
Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, 2019

Flight Delay Prediction using Airport Situational Awareness Map.
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019


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