Anomaly Detection in Process Data Using Generative Adversarial Networks (GAN)
- Type: Conference Presentation
- Conference Type: AIChE Spring Meeting and Global Congress on Process Safety
- Presentation Date: April 22, 2021
- Duration: 20 minutes
- Skill Level: Intermediate
- PDHs: 0.50
 Geiger, A., Liu, D., Alnegheimish, S., Cuesta-Infante, A., & Veeramachaneni, K. (2020). TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks. arXiv preprint arXiv:2009.07769.
 Li, D., Chen, D., Jin, B., Shi, L., Goh, J., & Ng, S. K. (2019, September). MAD-GAN: Multivariate anomaly detection for time series data with generative adversarial networks. In International Conference on Artificial Neural Networks (pp. 703-716). Springer, Cham.
|AIChE Member Credits||0.5|
|AIChE Graduate Student Members||Free|
|AIChE Undergraduate Student Members||Free|