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Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks
Accurate traffic forecasting is crucial for the development of Intelligent Transportation
Systems (ITS), playing a pivotal role in modern urban traffic management. Traditional …
Systems (ITS), playing a pivotal role in modern urban traffic management. Traditional …
Adapting to the stream: an instance-attention GNN method for irregular multivariate time series data
Multivariate time series (MTS) data are vital for various applications, particularly in machine
learning tasks. However, challenges such as sensor failures can result in irregular and …
learning tasks. However, challenges such as sensor failures can result in irregular and …
Mining Irregular Time Series Data with Noisy Labels: A Risk Estimation Approach
Time series data are widely used in critical sectors such as finance, healthcare, and
environment to analyze temporal trends and patterns for prediction, monitoring, and decision …
environment to analyze temporal trends and patterns for prediction, monitoring, and decision …
No Imputation Needed: A Switch Approach to Irregularly Sampled Time Series
Modeling irregularly-sampled time series (ISTS) is challenging because of missing values.
Most existing methods focus on handling ISTS by converting irregularly sampled data into …
Most existing methods focus on handling ISTS by converting irregularly sampled data into …