Julia García Cabello

According to our database, Julia García Cabello authored at least 9 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Dynamic Programming for Training DNN in Distributed Computing.

Julia García Cabello, S. Carbó-García

Proceedings of the Distributed Computing and Artificial Intelligence, 2024

2023

Improved deep neural network performance under dynamic programming mode.

Julia García Cabello

Neurocomputing, November, 2023

A New Decision Making Method for Selection of Optimal Data Using the Von Neumann-Morgenstern Theorem.

Julia García Cabello

Informatica, 2023

2022

Mathematical Neural Networks.

Julia García Cabello

Axioms, 2022

Time-Dynamic Markov Random Fields for price outcome prediction in the presence of lobbying.

Julia García Cabello

Appl. Intell., 2022

2021

A novel intelligent system for securing cash levels using Markov random fields.

Julia García Cabello

Int. J. Intell. Syst., 2021

2019

A model towards global demographics: an application - a universal bank branch geolocator based on branch size.

Julia García Cabello

Soft Comput., 2019

2018

A Universal Decision Making Model for Restructuring Networks Based on Markov Random Fields.

Julia García Cabello, Enrique Herrera-Viedma

Proceedings of the Advances in Artificial Intelligence, 2018

2017

The future of branch cash holdings management is here: New Markov chains.

Julia García Cabello

Eur. J. Oper. Res., 2017