Cite
Utilizing Unlabeled Data to Detect Electricity Fraud in AMI: A Semisupervised Deep Learning Approach.
MLA
Hu, Tianyu, et al. “Utilizing Unlabeled Data to Detect Electricity Fraud in AMI: A Semisupervised Deep Learning Approach.” IEEE Transactions on Neural Networks & Learning Systems, vol. 30, no. 11, Nov. 2019, pp. 3287–99. EBSCOhost, https://doi.org/10.1109/TNNLS.2018.2890663.
APA
Hu, T., Guo, Q., Shen, X., Sun, H., Wu, R., & Xi, H. (2019). Utilizing Unlabeled Data to Detect Electricity Fraud in AMI: A Semisupervised Deep Learning Approach. IEEE Transactions on Neural Networks & Learning Systems, 30(11), 3287–3299. https://doi.org/10.1109/TNNLS.2018.2890663
Chicago
Hu, Tianyu, Qinglai Guo, Xinwei Shen, Hongbin Sun, Rongli Wu, and Haoning Xi. 2019. “Utilizing Unlabeled Data to Detect Electricity Fraud in AMI: A Semisupervised Deep Learning Approach.” IEEE Transactions on Neural Networks & Learning Systems 30 (11): 3287–99. doi:10.1109/TNNLS.2018.2890663.