Results 281 to 290 of about 352,249 (316)

Anomaly Detection

2017
Kishan G. Mehrotra, Chilukuri K. Mohan, HuaMing Huang   +2 more
  +4 more sources

Deep Learning for Anomaly Detection

ACM Computing Surveys, 2022
Guansong Pang, Longbing Cao
exaly  

Anomaly Detection

2016
Varun Chandola, Arindam Banerjee, Vipin Kumar   +2 more
openaire   +2 more sources

Anomaly Detection

2021
Vineet Raina, Srinath Krishnamurthy
openaire   +1 more source

Anomaly Detection

2013
Ton J. Cleophas, Aeilko H. Zwinderman
openaire   +1 more source

Automated Anomaly Detection

2005
Preparing a dataset is a very important step in data mining. If the input to the process contains problems, noise, or errors, then the results will reflect this, as well. Not all possible combinations of the data should exist, as the data represent real-world observations. Correlation is expected among the variables.
openaire   +1 more source

Anomaly detection

Proceedings New Security Paradigms Workshop, 1994
openaire   +1 more source

Anomaly Detection

2011
Rajesh K. Karmani, Gul Agha, Mark S. Squillante, Joel Seiferas, Marian Brezina, Jonathan Hu, Ray Tuminaro, Peter Sanders, Jesper Larsson Träffe, Robert A. Geijn, Jesper Larsson Träff, Robert A. Geijn, MS Benjamin Sander, John L. Gustafson, Ron O. Dror, Cliff Young, David E. Shaw, Calvin Lin, Jenq-Kuen Lee, Rong-Guey Chang, Chi-Bang Kuan, Giorgos Kollias, Ananth Y. Grama, Zhiyuan Li, R. Clint Whaley, Richard W. Vuduc   +25 more
openaire   +2 more sources

Anomaly Detection

2008
Shashi Shekhar, Hui Xiong
openaire   +1 more source

Anomaly Detection Pipeline.

Proposed for presentation at the American Control Conference (Virtual) in ,, 2022
Samuel Gilletly, Katherine Cauthen, Joshua Mott, Nathanael Brown   +3 more
openaire   +1 more source