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Anomaly Detection Techniques and Applications

TopicLeading institutions, researchers & key papers

Anomaly Detection Techniques and Applications is a topic indexed in ScholarIQ from OpenAlex.

What is known about Anomaly Detection Techniques and Applications?

ScholarIQrecord summary

This cluster of papers focuses on the detection of anomalies in high-dimensional data, particularly in the context of video analysis, surveillance, and time series data. It covers a wide range of techniques including unsupervised learning, outlier detection, deep learning, and novelty detection for identifying abnormal patterns and events.

How many works does Anomaly Detection Techniques and Applications have?

ScholarIQindexed works

Anomaly Detection Techniques and Applications has 286 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.

What is the OpenAlex record for Anomaly Detection Techniques and Applications?

ScholarIQopenalex

The OpenAlex for Anomaly Detection Techniques and Applications is on the source record.

What are the most-cited papers on Anomaly Detection Techniques and Applications?

ScholarIQmost cited works
Anomaly Detection via Reverse Distillation from One-Class Embedding
Hanqiu Deng, Xingyu Li
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2022759 Citations
A survey on machine learning for data fusion
Tong Meng, Xuyang Jing, Zheng Yan, Witold Pedrycz
Information Fusion. 2019657 CitationsOPEN ACCESS
Recent advances in convolutional neural network acceleration
Qianru Zhang, Meng Zhang, Tinghuan Chen, Zhifei Sun, Yuzhe Ma, Bei Yu
Neurocomputing. 2018433 Citations
A Review on Machine Learning Styles in Computer Vision—Techniques and Future Directions
Supriya V. Mahadevkar, Bharti Khemani, Shruti Patil, Ketan Kotecha, Deepali Vora, Ajith Abraham, Lubna A. Gabralla
IEEE Access. 2022281 CitationsOPEN ACCESS
An intelligent emergency response system: preliminary development and testing of automated fall detection
Tracy Lee, Alex Mihailidis
Journal of Telemedicine and Telecare. 2005235 Citations

Where is Anomaly Detection Techniques and Applications research published, and who funds it?

ScholarIQvenues & funding sources

TOP FUNDERS

National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
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How much of the research on Anomaly Detection Techniques and Applications is open access?

ScholarIQopen access share
33%OPEN ACCESS
Gold
13%
Green
20%
Hybrid
0%
Bronze
0%
Closed
67%

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