1. Weighted kappa loss function for multi-class classification of ordinal data in deep learning;de La Torre;Pattern Recognit Lett,2018
2. Amarasinghe K, Marino DL, Manic M. Deep neural networks for energy load forecasting. In: IEEE 26th international symposium on industrial electronics (ISIE). June 2017. pp. 1483–8.
3. Yi H, Shiyu S, Xiusheng D, Zhigang C. A study on deep neural networks framework. In: IEEE advanced information management, communicates, electronic and automation control conference (IMCEC). October 2016. pp. 1519–22.
4. A survey on deep learning: algorithms, techniques, and applications;Pouyanfar;ACM Comput Surv (CSUR),2019
5. Deep recurrent neural networks for human activity recognition;Murad;Sensors,2017