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05/19/2021
DistTune: Distributed Fine-Grained Adaptive Traffic Speed Prediction for Growing Transportation Networks
Over the past decade, many approaches have been introduced for traffic s...
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04/19/2021
SALAD: Self-Adaptive Lightweight Anomaly Detection for Real-time Recurrent Time Series
Real-world time series data often present recurrent or repetitive patter...
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02/12/2021
How Far Should We Look Back to Achieve Effective Real-Time Time-Series Anomaly Detection?
Anomaly detection is the process of identifying unexpected events or ab-...
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05/10/2020
Distributed Fine-Grained Traffic Speed Prediction for Large-Scale Transportation Networks based on Automatic LSTM Customization and Sharing
Short-term traffic speed prediction has been an important research topic...
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04/05/2020
ReRe: A Lightweight Real-time Ready-to-Go Anomaly Detection Approach for Time Series
Anomaly detection is an active research topic in many different fields s...
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01/24/2020