On the Detection of Anomalies with the Use of Choquet Integral and Their Interpretability in Motion Capture Data-Reference-Cited by-同舟云学术

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On the Detection of Anomalies with the Use of Choquet Integral and Their Interpretability in Motion Capture Data

Published:2022-07-18 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
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Author:

Dolecki Michal¹,Karczmarek Pawel¹,Galka Lukasz¹,Zawadka Magdalena²,Smolka Jakub¹,Skublewska-Paszkowska Maria¹,Lukasik Edyta¹,Powroznik Pawel¹,Gawda Piotr²,Czerwinski Dariusz¹

Affiliation:

1. Lublin University of Technology,Department of Computer Science,Lublin,Poland

2. Medical Univesity of Lublin,Department of Sports Medicine,Lublin,Poland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9882530/9882539/09882678.pdf?arnumber=9882678

Reference58 articles.

1. Hybrid VVRKFA-SLFN classifier for improved pattern classification

2. Fuzzy C-Means-based Isolation Forest

3. Robust Statistics-based Anomaly Detection in a Steel Industry*

4. Autoencoder-based network anomaly detection;chen;Proc of Wireless Telecommunications Symp,2018

5. A probabilistic generalization of isolation forest

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1. Toward Real-Time Solar Content-Based Image Retrieval;Lecture Notes in Computer Science;2024

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