Context-aware Anomaly Detection
Context-Aware Anomaly Detection is a methodological framework within anomaly detection that integrates situational and environmental context to dynamically adapt detection criteria, thereby distinguishing anomalies based on contextual relevance rather than static, context-independent thresholds.
129
Publications
6.9K
Citations
428
Authors
196
Institutions
Publications per year
2017–2026
79
Parents
129
Anomaly detection in wireless sensor networks: A survey
Miao Xie, Song Han, Biming Tian et al. · Journal of Network and Computer Applications · 2011 · 349 citations
Localizing Anomalies From Weakly-Labeled Videos
IEEE Transactions on Image Processing · 2021 · 171 citations · Full text
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196

Chinese Academy of Sciences
Beijing, China
6 h-index
22 publications
965 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
4 h-index
6 publications
409 citations

Western University
London, Canada
4 h-index
14 publications
1.9K citations

Robert Gordon University
Aberdeen, United Kingdom
3 h-index
7 publications
166 citations
Simon Fraser University
Burnaby, Canada
3 h-index
10 publications
297 citations
Tongji University
Shanghai, China
3 h-index
6 publications
451 citations
Tsinghua University
Beijing, China
3 h-index
7 publications
376 citations
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo"
Pisa, Italy
3 h-index
9 publications
139 citations
1–8 of 196
3 publications · 60 citations
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2 publications · 44 citations
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3 publications · 195 citations
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2 publications · 119 citations
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3 publications · 126 citations
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