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cs.LG2026
Long-Term Outlier Prediction Through Outlier Score Modeling
Yuma Aoki, Joon Park, Koh Takeuchi +6
This study addresses an important gap in time series outlier detection by proposing a novel problem setting: long-term outlier prediction. Conventional methods primarily focus on i…
cs.LG2025
Robust Anomaly Detection Under Normality Distribution Shift in Dynamic Graphs
Xiaoyang Xu, Xiaofeng Lin, Koh Takeuchi +2
Anomaly detection in dynamic graphs is a critical task with broad real-world applications, including social networks, e-commerce, and cybersecurity. Most existing methods assume th…
cs.LG2025
Dynamic Feature Selection from Variable Feature Sets Using Features of Features
Katsumi Takahashi, Koh Takeuchi, Hisashi Kashima
Machine learning models usually assume that a set of feature values used to obtain an output is fixed in advance. However, in many real-world problems, a cost is associated with me…