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Cristóbal Barba-González
Cristóbal Barba-González
ITIS Software. Khaos Research. Universidad de Málaga
Zweryfikowany adres z uma.es - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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BIGOWL: Knowledge centered big data analytics
C Barba-González, J García-Nieto, M del Mar Roldán-García, ...
Expert Systems with Applications 115, 543-556, 2019
472019
jMetalSP: a framework for dynamic multi-objective big data optimization
C Barba-González, J García-Nieto, AJ Nebro, JA Cordero, JJ Durillo, ...
Applied Soft Computing 69, 737-748, 2018
382018
InDM2: Interactive dynamic multi-objective decision making using evolutionary algorithms
AJ Nebro, AB Ruiz, C Barba-González, J García-Nieto, M Luque, ...
Swarm and Evolutionary Computation 40, 184-195, 2018
332018
Multi-objective big data optimization with jmetal and spark
C Barba-Gonzaléz, J García-Nieto, AJ Nebro, JF Aldana-Montes
Evolutionary Multi-Criterion Optimization: 9th International Conference, EMO …, 2017
302017
Automatic configuration of NSGA-II with jMetal and irace
AJ Nebro, M López-Ibáñez, C Barba-González, J García-Nieto
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019
182019
Extending the speed-constrained multi-objective pso (smpso) with reference point based preference articulation
AJ Nebro, JJ Durillo, J García-Nieto, C Barba-González, J Del Ser, ...
Parallel Problem Solving from Nature–PPSN XV: 15th International Conference …, 2018
152018
A fine grain sentiment analysis with semantics in tweets
C Barba González, JM García Nieto, I Navas Delgado, JF Aldana Montes
International Journal of Interactive Multimedia and Artificial Intelligence …, 2016
152016
On the design of a framework integrating an optimization engine with streaming technologies
C Barba-González, AJ Nebro, A Benítez-Hidalgo, J García-Nieto, ...
Future Generation Computer Systems 107, 538-550, 2020
142020
Dynamic multi-objective optimization with jMetal and Spark: a case study
JA Cordero, AJ Nebro, C Barba-González, JJ Durillo, J García-Nieto, ...
Machine Learning, Optimization, and Big Data: Second International Workshop …, 2016
142016
Artificial decision maker driven by PSO: An approach for testing reference point based interactive methods
C Barba-González, V Ojalehto, J García-Nieto, AJ Nebro, K Miettinen, ...
Parallel Problem Solving from Nature–PPSN XV: 15th International Conference …, 2018
132018
TITAN: A knowledge-based platform for Big Data workflow management
A Benítez-Hidalgo, C Barba-González, J García-Nieto, ...
Knowledge-Based Systems 232, 107489, 2021
112021
Injecting domain knowledge in multi-objective optimization problems: A semantic approach
C Barba-González, AJ Nebro, J García-Nieto, M del Mar Roldan-Garcia, ...
Computer Standards & Interfaces 78, 103546, 2021
82021
Design and architecture of the jMetaISP framework
AJ Nebro, C Barba-González, JG Nieto, JA Cordero, JFA Montes
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017
72017
Scalable approach for high-resolution land cover: a case study in the Mediterranean Basin
AM Burgueño, JF Aldana-Martín, M Vázquez-Pendón, C Barba-González, ...
Journal of Big Data 10 (1), 1-22, 2023
62023
A multi-objective interactive dynamic particle swarm optimizer
C Barba-González, AJ Nebro, J García-Nieto, JF Aldana-Montes
Progress in Artificial Intelligence 9, 55-65, 2020
52020
About designing an observer pattern-based architecture for a multi-objective metaheuristic optimization framework
A Benítez-Hidalgo, AJ Nebro, JJ Durillo, J García-Nieto, ...
Intelligent Distributed Computing XII, 50-60, 2018
52018
Scalable inference of gene regulatory networks with the spark distributed computing platform
C Barba-González, J García-Nieto, A Benítez-Hidalgo, AJ Nebro, ...
Intelligent Distributed Computing XII, 61-70, 2018
52018
Big data optimization: algorithmic framework for data analysis guided by semantics
C Barba-González
UMA Editorial, 2018
42018
Un framework para big data optimization basado en jmetal y spark
C Barba González, AJ Nebro, JM García Nieto, JA Cordero, JJ Durillo, ...
MAEB 2016: XI Congreso Español de Metaheurísticas, Algoritmos Evolutivos y …, 2016
32016
E-Science workflow: A semantic approach for airborne pollen prediction
S Hurtado, ML Antequera-Gómez, C Barba-González, A Picornell, ...
Knowledge-Based Systems 284, 111230, 2024
22024
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