Sim, S., Kim, D., & Bae, H. (2022). Correlation recurrent units: A novel neural architecture for improving the predictive performance of time-series data.
Chicago Style (17th ed.) CitationSim, Sunghyun, Dohee Kim, and Hyerim Bae. Correlation Recurrent Units: A Novel Neural Architecture for Improving the Predictive Performance of Time-series Data. 2022.
MLA (9th ed.) CitationSim, Sunghyun, et al. Correlation Recurrent Units: A Novel Neural Architecture for Improving the Predictive Performance of Time-series Data. 2022.
Warning: These citations may not always be 100% accurate.