| A combination of supervised dimensionality reduction and learning methods to forecast solar radiation E García-Cuesta, R Aler, D Pózo-Vázquez, IM Galván Applied Intelligence 53 (11), 13053-13066, 2023 | 11 | 2023 |
| A comparative study of supervised learning techniques for the radiative transfer equation inversion E Garcia-Cuesta, F de la Torre, AJ de Castro Proceedings of the world congress on engineering and computer science, 24-26, 2007 | 4 | 2007 |
| A Domain-Adaptable Heterogeneous Information Integration Platform: Tourism and Biomedicine Domains RM Gil, M de Buenaga Rodríguez, FA Galisteo, DG Páez, ... Information 12 (11), 435, 2021 | 2 | 2021 |
| A scoping review on the progress, applicability, and future of explainable artificial intelligence in medicine R González-Alday, E García-Cuesta, CA Kulikowski, V Maojo Applied Sciences 13 (19), 10778, 2023 | 7 | 2023 |
| Active multispectral imaging system for photodiagnosis and personalized phototherapies MF Ugarte Suárez, L Chávarri del Hoyo, S Briz Pacheco, ... | | 2014 |
| Active multispectral imaging system for photodiagnosis and personalized phototherapies MF Ugarte, L Chávarri, S Briz, VM Padrón, E García-Cuesta Review of Scientific Instruments 85 (10), 2014 | 1 | 2014 |
| An Adaptive Cognitive Model to Integrate Machine Learning and Visual Streaming Data E García-Cuesta, JM López-López, D Gómez-Vergel, J Huertas-Tato 15th International Conference on Soft Computing Models in Industrial and …, 2021 | | 2021 |
| An Interpretable Rule Creation Method for Black-Box Models based on Surrogate Trees--SRules M Parrón Verdasco, E García-Cuesta arXiv e-prints, arXiv: 2407.20070, 2024 | | 2024 |
| An Interpretable Rule Creation Method for Black-Box Models based on Surrogate Trees--SRules MP Verdasco, E García-Cuesta arXiv preprint arXiv:2407.20070, 2024 | | 2024 |
| Aplicación de técnicas de clustering para la mejora del aprendizaje M Gallardo Campos | 5 | 2009 |
| Application of Neural Networks to Atmospheric Pollutants Remote Sensing E García-Cuesta, S Briz, I Fernández-Gómez, AJ de Castro International Work-Conference on the Interplay Between Natural and …, 2007 | 2 | 2007 |
| Artificial Intelligent Ethics in the Digital Era: an Engineering Ethical Framework Proposal E García-Cuesta arXiv preprint arXiv:2002.07734, 2020 | 1 | 2020 |
| Clinical characteristics and outcomes of 1,331 patients with COVID-19: HM Spanish Cohort P Cardinal-Fernández, E García-Cuesta, J Barberán, et al. Rev Esp Quimioter., 2021 | 5 | 2021 |
| Combination of Weak Learners eXplanations to Improve Random Forest eXplicability Robustness R Pala, E García-Cuesta arXiv preprint arXiv:2402.19025, 2024 | | 2024 |
| Controlling and monitoring crisis N García-Santa, E García-Cuesta, B Villazón-Terrazas The Semantic Web: ESWC 2015 Satellite Events: ESWC 2015 Satellite Events …, 2015 | 9 | 2015 |
| Crowdsourcing roles, methods and tools for data-intensive disaster management M Poblet, E García-Cuesta, P Casanovas Information Systems Frontiers 20 (6), 1363-1379, 2018 | 124 | 2018 |
| Crowdsourcing tools for disaster management M Poblet, E García-Cuesta, P Casanovas | | 2014 |
| Crowdsourcing tools for disaster management: A review of platforms and methods M Poblet, E García-Cuesta, P Casanovas International Workshop on AI Approaches to the Complexity of Legal Systems …, 2013 | 113 | 2013 |
| Detection of SARS-CoV-2 infection in human nasopharyngeal samples by combining MALDI-TOF MS and artificial intelligence M Deulofeu, E García-Cuesta, EM Peña-Méndez, JE Conde, ... Frontiers in Medicine 8, 661358, 2021 | 33 | 2021 |
| Discriminant regression analysis to find homogeneous structures E Garcia-Cuesta, IM Galvan, AJ De Castro Intelligent Data Engineering and Automated Learning-IDEAL 2009: 10th …, 2009 | 1 | 2009 |
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