Interval-valued functional clustering based on the Wasserstein distance with application to stock data.
Inf. Sci., 2022
A time-varying distance based interval-valued functional principal component analysis method - A case study of consumer price index.
Inf. Sci., 2022
Extreme point bias compensation: A similarity method of functional clustering and its application to the stock market.
Expert Syst. Appl., 2021
CellNet: An Improved Neural Architecture Search Method for Coal and Gangue Classification.
Proceedings of the International Joint Conference on Neural Networks, 2021
Synthetic exponential control charts with unknown parameter.
Commun. Stat. Simul. Comput., 2018