6 citations · 11 across the 3 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★ 6 cited
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…