Work

Ensemble of Hierarchical Temporal Memory for Anomaly Detection

Year: 2020

Type: conference-paper

Source: IEEE International Conference on Data Science and Advanced Analytics (DSAA)

DOI: 10.1109/dsaa49011.2020.00017

Authors: Farzaneh Shoeleh, Masoud Erfani, Duc-Phong Le, Ali A. Ghorbani

Institutions: University of New Brunswick, Canadian Institute for Cybersecurity

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: Science and Engineering Research Council, Research and Development

OpenAlex ID: W3106791815

FWCI: 0.08

Cites: 33

Cited by: 2

Related to: 10