CGSA optimized LSTM auto encoder for outlier detection
Author:
Affiliation:
1. Department of Information Technology, FEAT, Annamalai University, Chidambaram, Tamil Nadu, India
Publisher
Informa UK Limited
Subject
Computer Graphics and Computer-Aided Design,Computer Science Applications,Hardware and Architecture,Software
Link
https://www.tandfonline.com/doi/pdf/10.1080/1206212X.2023.2239551
Reference28 articles.
1. Ijaz MF, Alfian G, Syafrudin M, et al. Hybrid prediction model for type 2 diabetes and hypertension using DBSCAN-based outlier detection. Synthetic minority over sampling technique (SMOTE), and random forest. Researchgate.net.
2. A novel wind speed forecasting based on hybrid decomposition and online sequential outlier robust extreme learning machine
3. Hendrycks D, Mazeika M, Dietterich T. Deep anomaly detection with outlier exposure. Academia.edu.
4. SMOTE-LOF for noise identification in imbalanced data classification
5. Semi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-Noises
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