research
∙
02/24/2023
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation – Extended Version
Due to the sweeping digitalization of processes, increasingly vast amoun...
share
research
∙
09/10/2022
A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis
The continued digitization of societal processes translates into a proli...
research
∙
04/28/2022
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting–Full Version
A variety of real-world applications rely on far future information to m...
research
∙
04/07/2022
Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection—Extended Version
Time series data occurs widely, and outlier detection is a fundamental p...
research
∙
03/29/2022
Towards Spatio-Temporal Aware Traffic Time Series Forecasting–Full Version
Traffic time series forecasting is challenging due to complex spatio-tem...
research
∙
11/22/2021