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cs.LG2026
Automatic Unsupervised Ensemble Outlier Model Selection--Extended Version
Hong-Phuc Phan, Tuan-Anh Vu, Tung Kieu +3
Unsupervised outlier detection is attractive because it eliminates the need for labeled data. Moreover, forming multi-model ensembles can improve detection robustness. However, com…
cs.LG2024
TEAM: Topological Evolution-aware Framework for Traffic Forecasting--Extended Version
Duc Kieu, Tung Kieu, Peng Han +3
Due to the global trend towards urbanization, people increasingly move to and live in cities that then continue to grow. Traffic forecasting plays an important role in the intellig…
cs.LG2024
Fully Automated Correlated Time Series Forecasting in Minutes
Xinle Wu, Xingjian Wu, Dalin Zhang +4
Societal and industrial infrastructures and systems increasingly leverage sensors that emit correlated time series. Forecasting of future values of such time series based on record…