108 citations · 109 across the 4 of their papers we have counts for
4 papers
Robust and Explainable Detector of Time Series Anomaly via Augmenting Multiclass Pseudo-Anomalies
Kohei Obata, Yasuko Matsubara, Yasushi Sakurai
Unsupervised anomaly detection in time series has been a pivotal research area for decades. Current mainstream approaches focus on learning normality, on the assumption that all or…
D-Tracker: Modeling Interest Diffusion in Social Activity Tensor Data Streams
Shingo Higashiguchi, Yasuko Matsubara, Koki Kawabata +2
Large quantities of social activity data, such as weekly web search volumes and the number of new infections with infectious diseases, reflect peoples' interests and activities. It…
Fredformer: Frequency Debiased Transformer for Time Series Forecasting
Xihao Piao, Zheng Chen, Taichi Murayama +2
The Transformer model has shown leading performance in time series forecasting. Nevertheless, in some complex scenarios, it tends to learn low-frequency features in the data and ov…
Dynamic Multi-Network Mining of Tensor Time Series
Kohei Obata, Koki Kawabata, Yasuko Matsubara +1
Subsequence clustering of time series is an essential task in data mining, and interpreting the resulting clusters is also crucial since we generally do not have prior knowledge of…