MATHMODE: Applied Mathematical Modeling, Statistics, and Optimization
Universidad Rey Juan Carlos
Madrid, EspañaPublikationen in Zusammenarbeit mit Forschern von Universidad Rey Juan Carlos (6)
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
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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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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A fair and scalable mechanism for resource allocation: The multilevel qpq approach
IEEE Access, Vol. 9, pp. 19439-19456
2011
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Leaf-litter decomposition in headwater streams: A comparison of the process among four climatic regions
Journal of the North American Benthological Society, Vol. 30, Núm. 4, pp. 935-950