1. Cluster-based demand forecasting using bayesian model averaging: An ensemble learning approach;Seyedan;Decis. Anal. J.,2022
2. The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction;Chhajer;Decis. Anal. J.,2022
3. An integrated data envelopment analysis and generalized additive model for assessing managerial ability with application to the insurance industry;Banker;Decis. Anal. J.,2022
4. Machine learning advances for time series forecasting;Masini;J. Econ. Surv.,2023
5. Time-series forecasting with deep learning: a survey;Lim;Phil. Trans. R. Soc. A,2021