Sánchez, L. . (2014). Comments on Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization by Eyke Hüllermeier. International Journal of Approximate Reasoning, 55, 1583-1587. https://doi.org/10.1016/j.ijar.2014.04.008
machine learning
Cano De Amo, J. R. . ., & García López, S. . (2017). Training set selection for monotonic ordinal classification. Data \& Knowledge Engineering, 112, 94-105. https://doi.org/10.1016/j.datak.2017.10.003
Cordon, I. ., Luengo, J. ., García López, S. ., Herrera Triguero, F. ., & Charte Ojeda, F. . (2019). Smartdata: Data preprocessing to achieve smart data in R. Neurocomputing, 360, 1-13. https://doi.org/10.1016/j.neucom.2019.06.006 (Original work published 2019)
Charte Ojeda, F. ., Vico, A. ., Pérez Godoy, M. D. . ., & Rivera Rivas, A. J. . (2019). predtoolsTS: R package for streamlining time series forecasting. Progress in Artificial Intelligence, 8, 505-510. https://doi.org/10.1007/s13748-019-00193-z (Original work published 2019)
Gonzalez, M. ., González-Almagro, G. ., Triguero, I. ., Cano De Amo, J. R. . ., & García López, S. . (2021). Decomposition-Fusion for Label Distribution Learning. Information Fusion, 66, 64-75. https://doi.org/10.1016/j.inffus.2020.08.024 (Original work published 2021)
Gonzalez, M. ., Luengo, J. ., Cano De Amo, J. R. . ., & García López, S. . (2021). Synthetic Sample Generation for Label Distribution Learning. Information Sciences, 544, 197-213. https://doi.org/10.1016/j.ins.2020.07.071 (Original work published 2021)
Charte Ojeda, F. . (2020). A Comprehensive and Didactic Review on Multilabel Learning Software Tools. IEEE Access, 8, 50330-50354. https://doi.org/10.1109/ACCESS.2020.2979787 (Original work published 2020)
M.Górriz, J. ., Ramírez, J. ., Ortíz, A. ., Martínez-Murcia, F. J., Segovia, F. ., Suckling, J. ., … Ferrández, J. M. (2020). Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications. Neurocomputing, 410, 237-270. https://doi.org/10.1016/j.neucom.2020.05.078
Sánchez, L. ., Cordón García, Óscar ., Quirin, A. ., & Trawinski, K. . (2010). Introducing a genetic fuzzy linguistic combination method for bagging fuzzy rule-based multiclassification systems. 75-80. https://doi.org/10.1109/GEFS.2010.5454152 (Original work published 2025)
Cordón García, Óscar ., Quirin, A. ., & Sánchez, L. . (2008). A first study on bagging fuzzy rule-based classification systems with multicriteria genetic selection of the component classifiers. 11-16. https://doi.org/10.1109/GEFS.2008.4484560 (Original work published 2025)