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Cristóbal Barba-González
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2020 – today
- 2025
- [j15]Antonio M. Burgueño-Romero
, Cristóbal Barba-González, José Francisco Aldana Montes:
Big Data-driven MLOps workflow for annual high-resolution land cover classification models. Future Gener. Comput. Syst. 163: 107499 (2025) - [j14]Antonio M. Burgueño-Romero, Antonio Benítez-Hidalgo, Cristóbal Barba-González, José Francisco Aldana Montes:
Toward an Open Source MLOps Architecture. IEEE Softw. 42(1): 59-64 (2025) - 2024
- [j13]Antonio Picornell
A deep learning LSTM-based approach for forecasting annual pollen curves: Olea and Urticaceae pollen types as a case study. Comput. Biol. Medicine 168: 107706 (2024) - [j12]Cristóbal Barba-González
BIGOWL4DQ: Ontology-driven approach for Big Data quality meta-modelling, selection and reasoning. Inf. Softw. Technol. 167: 107378 (2024) - [j11]Sandro Hurtado
e-Science workflow: A semantic approach for airborne pollen prediction. Knowl. Based Syst. 284: 111230 (2024) - 2023
- [j10]Jorge Rodríguez-Revello
KNIT: Ontology reusability through knowledge graph exploration. Expert Syst. Appl. 228: 120239 (2023) - [j9]Antonio Manuel Burgueño
Scalable approach for high-resolution land cover: a case study in the Mediterranean Basin. J. Big Data 10(1): 91 (2023) - [i1]María Luisa Antequera-Gómez, Cristóbal Barba-González, Ismael Navas-Delgado:
Advancing Climate Change Resilience through Ecosystems and Biodiversity Monitoring and Analysis. ERCIM News 2023(135) (2023) - 2021
- [j8]Cristóbal Barba-González, Antonio J. Nebro, José García-Nieto
Injecting domain knowledge in multi-objective optimization problems: A semantic approach. Comput. Stand. Interfaces 78: 103546 (2021) - [j7]Antonio Benítez-Hidalgo
TITAN: A knowledge-based platform for Big Data workflow management. Knowl. Based Syst. 232: 107489 (2021) - 2020
- [j6]Cristóbal Barba-González
On the design of a framework integrating an optimization engine with streaming technologies. Future Gener. Comput. Syst. 107: 538-550 (2020) - [j5]Cristóbal Barba-González, Antonio J. Nebro
A multi-objective interactive dynamic particle swarm optimizer. Prog. Artif. Intell. 9(1): 55-65 (2020)
2010 – 2019
- 2019
- [j4]Cristóbal Barba-González, José García-Nieto
BIGOWL: Knowledge centered Big Data analytics. Expert Syst. Appl. 115: 543-556 (2019) - [c8]Antonio J. Nebro
Automatic configuration of NSGA-II with jMetal and irace. GECCO (Companion) 2019: 1374-1381 - 2018
- [j3]Cristóbal Barba-González, José García-Nieto
jMetalSP: A framework for dynamic multi-objective big data optimization. Appl. Soft Comput. 69: 737-748 (2018) - [j2]Antonio J. Nebro
InDM2: Interactive Dynamic Multi-Objective Decision Making Using Evolutionary Algorithms. Swarm Evol. Comput. 40: 184-195 (2018) - [c7]Antonio Benítez-Hidalgo
About Designing an Observer Pattern-Based Architecture for a Multi-objective Metaheuristic Optimization Framework. IDC 2018: 50-60 - [c6]Cristóbal Barba-González, José García-Nieto
Scalable Inference of Gene Regulatory Networks with the Spark Distributed Computing Platform. IDC 2018: 61-70 - [c5]Cristóbal Barba-González, Vesa Ojalehto, José García-Nieto
Artificial Decision Maker Driven by PSO: An Approach for Testing Reference Point Based Interactive Methods. PPSN (1) 2018: 274-285 - [c4]Antonio J. Nebro
Extending the Speed-Constrained Multi-objective PSO (SMPSO) with Reference Point Based Preference Articulation. PPSN (1) 2018: 298-310 - 2017
- [c3]Cristóbal Barba-González, José García-Nieto
Multi-objective Big Data Optimization with jMetal and Spark. EMO 2017: 16-30 - [c2]Antonio J. Nebro
Design and architecture of the jMetaISP framework. GECCO (Companion) 2017: 1239-1246 - 2016
- [j1]Cristóbal Barba-González, José García-Nieto
A Fine Grain Sentiment Analysis with Semantics in Tweets. Int. J. Interact. Multim. Artif. Intell. 3(6): 22-28 (2016) - [c1]José A. Cordero, Antonio J. Nebro
Dynamic Multi-Objective Optimization with jMetal and Spark: A Case Study. MOD 2016: 106-117
Coauthor Index
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