3 papers
cs.LG2021
DistTune: Distributed Fine-Grained Adaptive Traffic Speed Prediction for Growing Transportation Networks
Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran
Over the past decade, many approaches have been introduced for traffic speed prediction. However, providing fine-grained, accurate, time-efficient, and adaptive traffic speed predi…
cs.LG2021
SALAD: Self-Adaptive Lightweight Anomaly Detection for Real-time Recurrent Time Series
Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran
Real-world time series data often present recurrent or repetitive patterns and it is often generated in real time, such as transportation passenger volume, network traffic, system…
cs.LG2020
Distributed Fine-Grained Traffic Speed Prediction for Large-Scale Transportation Networks based on Automatic LSTM Customization and Sharing
Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran
Short-term traffic speed prediction has been an important research topic in the past decade, and many approaches have been introduced. However, providing fine-grained, accurate, an…