Improving Time-Series Forecasting Performance Using Imputation Techniques in Deep Learning
Author:
Affiliation:
1. Universitas Negeri Malang,Department of Electrical Engineering and Informatics,Malang,Indonesia
2. Universitas Negeri Malang,Department of Mechanical Engineering and Industry,Malang,Indonesia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10577996/10578073/10578273.pdf?arnumber=10578273
Reference41 articles.
1. A review of irregular time series data handling with gated recurrent neural networks
2. Deep Learning for Anomaly Detection in Time-Series Data: Review, Analysis, and Guidelines
3. Investigating Explainability Methods in Recurrent Neural Network Architectures for Financial Time Series Data
4. Visual Analytics Approach to Comprehensive Meteorological Time-Series Analysis
5. A Novel Transfer Learning Approach in Remaining Useful Life Prediction for Incomplete Dataset
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