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A Joint Model for IT Operation Series Prediction and Anomaly Detection

A Joint Model for IT Operation Series Prediction and Anomaly Detection

9 October 2019
Run-Qing Chen
Guang-Hui Shi
Wanlei Zhao
Chang-Hui Liang
    DRL
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Papers citing "A Joint Model for IT Operation Series Prediction and Anomaly Detection"

6 / 6 papers shown
Title
Time-Series Anomaly Detection Service at Microsoft
Time-Series Anomaly Detection Service at Microsoft
Hansheng Ren
Bixiong Xu
Yujing Wang
Chao Yi
Congrui Huang
Xiaoyu Kou
Tony Xing
Mao Yang
Jie Tong
Qi Zhang
AI4TS
23
498
0
10 Jun 2019
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic
  Thresholding
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding
K. Hundman
V. Constantinou
Christopher Laporte
Ian Colwell
T. Söderström
AI4TS
46
1,237
0
13 Feb 2018
Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal
  KPIs in Web Applications
Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications
Haowen Xu
Wenxiao Chen
Nengwen Zhao
Zeyan Li
Jiahao Bu
...
Dan Pei
Yang Feng
Jie Chen
Zhaogang Wang
Honglin Qiao
MLAU
52
809
0
12 Feb 2018
Deep and Confident Prediction for Time Series at Uber
Deep and Confident Prediction for Time Series at Uber
Lingxue Zhu
N. Laptev
BDL
AI4TS
99
344
0
06 Sep 2017
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
416
149,474
0
22 Dec 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
315
16,972
0
20 Dec 2013
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