Anomaly Inspection is a methodological procedure in exploratory data analysis that systematically identifies, characterizes, and evaluates anomalous observations or patterns within a dataset to distinguish them from normal behavior.
17
Publications
949
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63
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30
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Publications per year
2017–2026
8
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Publications
17
Loda: Lightweight on-line detector of anomalies
Tomáš Pevný · Machine Learning · 2015 · 342 citations · Full text
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63
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2
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2
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1
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1–5 of 63
Institutions
30
La Trobe University
Melbourne, Australia
2 h-index
8 publications
132 citations
Bosch Rexroth (Czechia)
Brno, Czechia
1 h-index
1 publications
39 citations
Northwestern Polytechnical University
Xi'an, China
1 h-index
1 publications
24 citations
UNSW Sydney
Sydney, Australia
1 h-index
1 publications
24 citations
Shanghai Jiao Tong University
Shanghai, China
1 h-index
4 publications
412 citations
Czech Technical University in Prague
Prague, Czechia
1 h-index
1 publications
342 citations
SRM Institute of Science and Technology
Chennai, India
1 h-index
1 publications
55 citations
Vinayaka Missions University
Salem, India
1 h-index
1 publications
55 citations
1–8 of 30
Venues
- IEEE Access
2 publications · 72 citations
2
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- AI Magazine
1 publications · 14 citations
1
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- Proceedings of the ... European Conference on Software Maintenance and Reengineering/Proceedings of the European Conference on Software Maintenance and Reengineering
CSMR · Conference · 1 publications · 75 citations
1
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- Remote Sensing
1 publications · 25 citations
1
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- Proceedings of the AAAI Conference on Artificial Intelligence
Conference · 1 publications · 103 citations
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