Kim, D., Sim, S., Yoon, B., Liu, L., & Bae, H. (2023). Improving Time-Series Classification Accuracy Based on Temporal Feature Representation Learning Using CRU-LSTM Autoencoder. 2023 IEEE 5th International Conference on Cognitive Machine Intelligence (CogMI), Cognitive Machine Intelligence (CogMI), 2023 IEEE 5th International Conference on, COGMI, 175-183. https://doi.org/10.1109/CogMI58952.2023.00033
Chicago-referens (17:e uppl.)Kim, Dohee, Sunghyun Sim, Bori Yoon, Ling Liu, och Hyerim Bae. "Improving Time-Series Classification Accuracy Based on Temporal Feature Representation Learning Using CRU-LSTM Autoencoder." 2023 IEEE 5th International Conference on Cognitive Machine Intelligence (CogMI), Cognitive Machine Intelligence (CogMI), 2023 IEEE 5th International Conference on, COGMI 2023: 175-183. https://doi.org/10.1109/CogMI58952.2023.00033.
MLA-referens (9:e uppl.)Kim, Dohee, et al. "Improving Time-Series Classification Accuracy Based on Temporal Feature Representation Learning Using CRU-LSTM Autoencoder." 2023 IEEE 5th International Conference on Cognitive Machine Intelligence (CogMI), Cognitive Machine Intelligence (CogMI), 2023 IEEE 5th International Conference on, COGMI, 2023, pp. 175-183, https://doi.org/10.1109/CogMI58952.2023.00033.
