Cristóbal Barba-González

According to our database, Cristóbal Barba-González authored at least 24 papers between 2016 and 2025.

Collaborative distances:

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

2025

Toward an Open Source MLOps Architecture.

Antonio M. Burgueño-Romero, Antonio Benítez-Hidalgo, Cristóbal Barba-González, José Francisco Aldana Montes

IEEE Softw., 2025

Big Data-driven MLOps workflow for annual high-resolution land cover classification models.

Antonio M. Burgueño-Romero, Cristóbal Barba-González, José Francisco Aldana Montes

Future Gener. Comput. Syst., 2025

2024

BIGOWL4DQ: Ontology-driven approach for Big Data quality meta-modelling, selection and reasoning.

Cristóbal Barba-González, Ismael Caballero, Ángel Jesús Varela-Vaca, José A. Cruz-Lemus, María Teresa Gómez-López, Ismael Navas-Delgado

Inf. Softw. Technol., March, 2024

A deep learning LSTM-based approach for forecasting annual pollen curves: <i>Olea</i> and Urticaceae pollen types as a case study.

Antonio Picornell, Sandro Hurtado, María Luisa Antequera-Gómez, Cristóbal Barba-González, Rocío Ruiz-Mata, Enrique de Gálvez-Montañez, Marta Recio, María del Mar Trigo, José Francisco Aldana Montes, Ismael Navas-Delgado

Comput. Biol. Medicine, January, 2024

e-Science workflow: A semantic approach for airborne pollen prediction.

Sandro Hurtado, María Luisa Antequera-Gómez, Cristóbal Barba-González, Antonio Picornell, Ismael Navas-Delgado

Knowl. Based Syst., 2024

2023

Scalable approach for high-resolution land cover: a case study in the Mediterranean Basin.

Antonio Manuel Burgueño, José F. Aldana-Martín, María Vázquez-Pendón, Cristóbal Barba-González, Yaiza Jiménez Gómez, Virginia E. García-Millán, Ismael Navas-Delgado

J. Big Data, December, 2023

KNIT: Ontology reusability through knowledge graph exploration.

Jorge Rodríguez-Revello, Cristóbal Barba-González, Maciej Rybinski, Ismael Navas-Delgado

Expert Syst. Appl., October, 2023

Advancing Climate Change Resilience through Ecosystems and Biodiversity Monitoring and Analysis.

María Luisa Antequera-Gómez, Cristóbal Barba-González, Ismael Navas-Delgado

ERCIM News, 2023

2021

TITAN: A knowledge-based platform for Big Data workflow management.

Antonio Benítez-Hidalgo, Cristóbal Barba-González, José García-Nieto, Pedro Gutiérrez-Moncayo, Manuel Paneque, Antonio J. Nebro, María del Mar Roldán García, José Francisco Aldana Montes, Ismael Navas-Delgado

Knowl. Based Syst., 2021

Injecting domain knowledge in multi-objective optimization problems: A semantic approach.

Cristóbal Barba-González, Antonio J. Nebro, José García-Nieto, María del Mar Roldán García, Ismael Navas-Delgado, José Francisco Aldana Montes

Comput. Stand. Interfaces, 2021

2020

A multi-objective interactive dynamic particle swarm optimizer.

Cristóbal Barba-González, Antonio J. Nebro, José García-Nieto, José Francisco Aldana Montes

Prog. Artif. Intell., 2020

On the design of a framework integrating an optimization engine with streaming technologies.

Cristóbal Barba-González, Antonio J. Nebro, Antonio Benítez-Hidalgo, José García-Nieto, José Francisco Aldana Montes

Future Gener. Comput. Syst., 2020

2019

BIGOWL: Knowledge centered Big Data analytics.

Cristóbal Barba-González, José García-Nieto, María del Mar Roldán García, Ismael Navas-Delgado, Antonio J. Nebro, José Francisco Aldana Montes

Expert Syst. Appl., 2019

Automatic configuration of NSGA-II with jMetal and irace.

Antonio J. Nebro, Manuel López-Ibáñez, Cristóbal Barba-González, José García-Nieto

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018

InDM2: Interactive Dynamic Multi-Objective Decision Making Using Evolutionary Algorithms.

Antonio J. Nebro, Ana Belen Ruiz, Cristóbal Barba-González, José García-Nieto, Mariano Luque, José Francisco Aldana Montes

Swarm Evol. Comput., 2018

jMetalSP: A framework for dynamic multi-objective big data optimization.

Cristóbal Barba-González, José García-Nieto, Antonio J. Nebro, José A. Cordero, Juan José Durillo, Ismael Navas-Delgado, José Francisco Aldana Montes

Appl. Soft Comput., 2018

Extending the Speed-Constrained Multi-objective PSO (SMPSO) with Reference Point Based Preference Articulation.

Antonio J. Nebro, Juan José Durillo, José García-Nieto, Cristóbal Barba-González, Javier Del Ser, Carlos A. Coello Coello, Antonio Benítez-Hidalgo, José Francisco Aldana Montes

Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Artificial Decision Maker Driven by PSO: An Approach for Testing Reference Point Based Interactive Methods.

Cristóbal Barba-González, Vesa Ojalehto, José García-Nieto, Antonio J. Nebro, Kaisa Miettinen, José Francisco Aldana Montes

Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

About Designing an Observer Pattern-Based Architecture for a Multi-objective Metaheuristic Optimization Framework.

Antonio Benítez-Hidalgo, Antonio J. Nebro, Juan José Durillo, José García-Nieto, Esteban López-Camacho, Cristóbal Barba-González, José Francisco Aldana Montes

Proceedings of the Intelligent Distributed Computing XII, 2018

Scalable Inference of Gene Regulatory Networks with the Spark Distributed Computing Platform.

Cristóbal Barba-González, José García-Nieto, Antonio Benítez-Hidalgo, Antonio J. Nebro, José Francisco Aldana Montes

Proceedings of the Intelligent Distributed Computing XII, 2018

2017

Design and architecture of the jMetaISP framework.

Antonio J. Nebro, Cristóbal Barba-González, José García-Nieto, José A. Cordero, José Francisco Aldana Montes

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Multi-objective Big Data Optimization with jMetal and Spark.

Cristóbal Barba-González, José García-Nieto, Antonio J. Nebro, José Francisco Aldana Montes

Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

2016

A Fine Grain Sentiment Analysis with Semantics in Tweets.

Cristóbal Barba-González, José García-Nieto, Ismael Navas-Delgado, José Francisco Aldana Montes

Int. J. Interact. Multim. Artif. Intell., 2016

Dynamic Multi-Objective Optimization with jMetal and Spark: A Case Study.

José A. Cordero, Antonio J. Nebro, Cristóbal Barba-González, Juan José Durillo, José García-Nieto, Ismael Navas-Delgado, José Francisco Aldana Montes

Proceedings of the Machine Learning, Optimization, and Big Data, 2016