Continuous Latent Adversarial Autoencoder: A Time-Sensitive Method for Incomplete Time-Series Modeling

Zhuoqing Chang; Shubo Liu; Zhaohui Cai; Guoqing Tu

doi:10.1109/jiot.2024.3501376

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Continuous Latent Adversarial Autoencoder: A Time-Sensitive Method for Incomplete Time-Series Modeling

Zhuoqing Chang Shubo Liu Zhaohui Cai Guoqing Tu

Year: 2024 Journal: IEEE Internet of Things Journal Vol: 12 (7)Pages: 8552-8569 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/jiot.2024.3501376

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Keywords:

Computer science Autoencoder Adversarial system Time series Series (stratigraphy) Data modeling Artificial intelligence Algorithm Data mining Machine learning Artificial neural network

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Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Gaussian Processes and Bayesian Inference

Physical Sciences → Computer Science → Artificial Intelligence

Continuous Latent Adversarial Autoencoder: A Time-Sensitive Method for Incomplete Time-Series Modeling

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