A CEEMD-ARIMA-SVM model with structural breaks to forecast the crude oil prices linked with extreme events. - Yuxiang Cheng; Jiayu Yi; Xiaoguang Yang; Kin Keung Lai; Luis Seco (Soft Comput., 2022)

Backtest overfitting in the machine learning era: A comparison of out-of-sample testing methods in a synthetic controlled environment. - Hamidreza Arian; Daniel Norouzi Mobarekeh; Luis Seco (Knowl. Based Syst., 2024)

Deep-time neural networks: An efficient approach for solving high-dimensional PDEs. - Ahmad Aghapour; Hamidreza Arian; Luis Seco (Appl. Math. Comput., 2025)

Machine Learning Techniques for Multifactor Analysis of National Carbon Dioxide Emissions. - Wenjia Xie; Jinhui Li; Kai Zong; Luis Seco (CoRR, 2025)