Solving the chaos model-data paradox in the cryptocurrency market. - Lukasz Pietrych; Julio E. Sandubete; Lorenzo Escot (Commun. Nonlinear Sci. Numer. Simul., 2021)

DChaos: An R Package for Chaotic Time Series Analysis. - Julio E. Sandubete; Lorenzo Escot (R J., 2021)

Estimating Lyapunov exponents on a noisy environment by global and local Jacobian indirect algorithms. - Lorenzo Escot; Julio E. Sandubete (Appl. Math. Comput., 2023)

Explainable Artificial Intelligence for Economic Time Series: A Comprehensive Review and a Systematic Taxonomy of Methods and Concepts. - Agustín García-García; Pablo Hidalgo; Julio E. Sandubete (CoRR, 2025)

Empirical Mode Decomposition and Graph Transformation of the MSCI World Index: A Multiscale Topological Analysis for Graph Neural Network Modeling. - Agustín M. de los Riscos; Julio E. Sandubete; Diego Carmona-Fernández; León Beleña (CoRR, 2025)