The future of branch cash holdings management is here: New Markov chains. - Julia García Cabello (Eur. J. Oper. Res., 2017)

A Universal Decision Making Model for Restructuring Networks Based on Markov Random Fields. - Julia García Cabello; Enrique Herrera-Viedma (CAEPIA, 2018)

A model towards global demographics: an application - a universal bank branch geolocator based on branch size. - Julia García Cabello (Soft Comput., 2019)

A novel intelligent system for securing cash levels using Markov random fields. - Julia García Cabello (Int. J. Intell. Syst., 2021)

Time-Dynamic Markov Random Fields for price outcome prediction in the presence of lobbying. - Julia García Cabello (Appl. Intell., 2022)

Mathematical Neural Networks. - Julia García Cabello (Axioms, 2022)

A New Decision Making Method for Selection of Optimal Data Using the Von Neumann-Morgenstern Theorem. - Julia García Cabello (Informatica, 2023)

Improved deep neural network performance under dynamic programming mode. - Julia García Cabello (Neurocomputing, 2023)

Dynamic Programming for Training DNN in Distributed Computing. - Julia García Cabello; S. Carbó-García (DCAI (1), 2024)

LSTM new gate for computing the efficiency on inputdata. - Julia García Cabello; S. Carbó-García (Knowl. Based Syst., 2025)