Unsupervised Boosting-Based Autoencoder Ensembles for Outlier Detection

Author:

Sarvari Hamed,Domeniconi Carlotta,Prenkaj Bardh,Stilo Giovanni

Publisher

Springer International Publishing

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. AnomalyBAGS: Bagging-based Ensemble Learning with Time-Series-to-Image Transformations for Robust Anomaly Detection;2023 IEEE 8th International Conference on Engineering Technologies and Applied Sciences (ICETAS);2023-10-25

2. Anomaly Detection in Spot Welding in Automotive Industry with Autoencoder Neural Networks;2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2023-10-01

3. Are we certain it’s anomalous?;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2023-06

4. An efficient method for autoencoder based outlier detection;Expert Systems with Applications;2023-03

5. Outlier Detection Model Based on Autoencoder and Data Augmentation for High-Dimensional Sparse Data;Communications in Computer and Information Science;2023

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