AnomalyBAGS: Bagging-based Ensemble Learning with Time-Series-to-Image Transformations for Robust Anomaly Detection-Reference-Cited by-同舟云学术

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AnomalyBAGS: Bagging-based Ensemble Learning with Time-Series-to-Image Transformations for Robust Anomaly Detection

Published:2023-10-25 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 8th International Conference on Engineering Technologies and Applied Sciences (ICETAS)
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Author:

Bayram Fatih S.¹,Dwedar Mohamed¹,Melke Aleksandra²,Schneider Roland³,Radtke Roman¹,Jesser Alexander¹

Affiliation:

1. Institute for Intelligent Cyber-Physical Systems, Heilbronn University of Applied Sciences,Künzelsau,Germany

2. Adolf Würth GmbH & Co. KG,Operational Excellence,Künzelsau,Germany

3. Adolf Würth GmbH & Co. KG,Operational Technology,Künzelsau,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10346240/10346252/10346596.pdf?arnumber=10346596

Reference23 articles.

1. Parallel and distributed computing for cybersecurity

2. CARDWATCH: a neural network based database mining system for credit card fraud detection

3. Detection, synthesis and compression in mammographic image analysis with a hierarchical image probability model

4. An empirical comparison of supervised learning algorithms

5. Intelligent Fault Diagnosis by Fusing Domain Adversarial Training and Maximum Mean Discrepancy via Ensemble Learning

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1. Optimization of a Data-Driven Soft Sensor for Use Cases with Multiple Dimensions;2024 IEEE International Conference on Industrial Technology (ICIT);2024-03-25

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