Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Data Using Deep Learning: Early Detection of COVID-19 Outbreak in Italy.
Yildiz KaradayiMehmet N. AydinArif Selçuk ÖgrenciPublished in: IEEE Access (2020)
Keyphrases
- early detection
- deep learning
- spatio temporal data
- spatio temporal
- spatial data
- unsupervised learning
- breast cancer
- machine learning
- lung cancer
- sensor data
- moving objects
- spatial databases
- mental models
- databases
- scientific data
- anomaly detection
- web logs
- weakly supervised
- temporal sequences
- computer vision
- spatial features
- semi supervised
- data sets
- probabilistic model