7 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.AI2022★ 1 cited
Two-Stage Deep Anomaly Detection with Heterogeneous Time Series Data
Kyeong-Joong Jeong, Jin-Duk Park, Kyusoon Hwang +2
We introduce a data-driven anomaly detection framework using a manufacturing dataset collected from a factory assembly line. Given heterogeneous time series data consisting of oper…
cs.LG2022★ 7 cited
Time-Series Anomaly Detection with Implicit Neural Representation
Kyeong-Joong Jeong, Yong-Min Shin
Detecting anomalies in multivariate time-series data is essential in many real-world applications. Recently, various deep learning-based approaches have shown considerable improvem…