Escuela de Ingeniería de Bilbao
Centro
Universidad Rey Juan Carlos
Madrid, EspañaPublicaciones en colaboración con investigadoras/es de Universidad Rey Juan Carlos (24)
2024
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Analysis, characterization, prediction, and attribution of extreme atmospheric events with machine learning and deep learning techniques: a review
Theoretical and Applied Climatology, Vol. 155, Núm. 1, pp. 1-44
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On solving the cross-dock door assignment problem
International Journal of Production Research, Vol. 62, Núm. 4, pp. 1262-1276
2023
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Deep learning for understanding multilabel imbalanced Chest X-ray datasets
Future Generation Computer Systems, Vol. 144, pp. 291-306
2022
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Integrated Environmental and Exergoeconomic Analysis of Biomass-Derived Maleic Anhydride
Advanced Sustainable Systems, Vol. 6, Núm. 9
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Persistence in complex systems
Physics Reports, Vol. 957, pp. 1-73
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Randomization-based machine learning in renewable energy prediction problems: Critical literature review, new results and perspectives
Applied Soft Computing, Vol. 118
2021
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Secondary raw materials from residual carbon fiber-reinforced composites by an upgraded pyrolysis process
Polymers, Vol. 13, Núm. 19
2020
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Oxidation of lignocellulosic platform molecules to value-added chemicals using heterogeneous catalytic technologies
Catalysis Science and Technology, Vol. 10, Núm. 9, pp. 2721-2757
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Reclamation of carbon fibers and added-value gases in a pyrolysis-based composites recycling process
Journal of Cleaner Production, Vol. 273
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Some matheuristic algorithms for multistage stochastic optimization models with endogenous uncertainty and risk management
European Journal of Operational Research, Vol. 285, Núm. 3, pp. 988-1001
2019
2018
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MAMTRA-MED at CLEF eHealth 2018: A combination of information retrieval techniques and neural networks for ICD-10 coding of death certificates
CEUR Workshop Proceedings
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Mapping the structure and evolution of JISIB: A bibliometric analysis of articles published in the Journal of Intelligence Studies in Business between 2011 and 2017
Journal of Intelligence Studies in Business, Vol. 8, Núm. 3, pp. 9-21
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On efficient matheuristic algorithms for multi-period stochastic facility location-assignment problems
Computational Optimization and Applications, Vol. 70, Núm. 3, pp. 865-888
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On preparedness resource allocation planning for natural disaster relief under endogenous uncertainty with time-consistent risk-averse management
Computers and Operations Research, Vol. 98, pp. 84-102
2017
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Scenario cluster Lagrangean decomposition for risk averse in multistage stochastic optimization
Computers and Operations Research, Vol. 85, pp. 1339-1351
2016
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Cluster Lagrangean decomposition in multistage stochastic optimization
Computers and Operations Research, Vol. 67, pp. 48-62
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Machine learning techniques for the detection of shockable rhythms in automated external defibrillators
PLoS ONE, Vol. 11, Núm. 7
2014
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A reliable method for rhythm analysis during cardiopulmonary resuscitation
BioMed Research International, Vol. 2014
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Filtering chest compression artifacts improves the performance of VF-detection parameters
Computing in Cardiology