3 citations · 5 across the 2 of their papers we have counts for
3 papers
stat.ML2019★ 3 cited
An Adaptive Approach for Anomaly Detector Selection and Fine-Tuning in Time Series
Hui Ye, Xiaopeng Ma, Qingfeng Pan +3
The anomaly detection of time series is a hotspot of time series data mining. The own characteristics of different anomaly detectors determine the abnormal data that they are good…
cs.LG2019★ 2 cited
AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data
Zheng Gao, Lin Guo, Chi Ma +6
Anomaly detection is facing with emerging challenges in many important industry domains, such as cyber security and online recommendation and advertising. The recent trend in these…
stat.ML2018
Visualizing and Understanding Deep Neural Networks in CTR Prediction
Lin Guo, Hui Ye, Wenbo Su +3
Although deep learning techniques have been successfully applied to many tasks, interpreting deep neural network models is still a big challenge to us. Recently, many works have be…