Arian Prabowo

Orcid: 0000-0002-0459-354X

According to our database1, Arian Prabowo authored at least 9 papers between 2019 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

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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