J.M. Cadenas, M.C. Garrido, R. Martinez-Españna. A similarity-based instance selection method on imprecise data and Soft Computing. SoftComputing, ACCEPTED. J.M. Cadenas, M.C. Garrido, R. Martinez-Españna. A Methodology Based on Machine Learning and Soft Computing to Design More Sustainable Agriculture Systems. Sensors 23 (6), 3038, 2023. M.C. Garrido, J.M. Cadenas, A. Bueno, R. Martinez-Españna, J.G. Giménez, J.M. Cecilia. Evaporation Forecasting through Interpretable Data Analysis Techniques. Electronics 11 (4), 536, 2022. J.J. Ortiz-Servín, D. A. Pelta, J. M. Cadenas, A. Castillo. A new methodology to speed-up fuel lattice design optimization using decision trees and new objective functions. Annals of Nuclear Energy 161, 108445, 2021. J. M. Cadenas, M. C. Garrido, R. Martínez. Development of an application to make knowledge available to the farmer: Detection of the most suitable crops for a more sustainable agriculture. Journal of Ambient Intelligence and Smart Environment 12 (5), 419-432, 2020. J. M. Cadenas, M. C. Garrido, R. Martínez, M.A. Guillén-Navarro. Making decisions for frost prediction in agricultural crops in a soft computing framework. Computers and Electronics in Agriculture 175, 105587, 2020. J. M. Cadenas, M. C. Garrido, R. Martinez, A. Muñoz. A k-nearest neighbors based approach applied to more realistic activity recognition datasets. Journal of Ambient Intelligence and Smart Environment 10 (3), 247-259, 2018. J.M. Cadenas, M.C. Garrido, R. Martinez, E. Muñoz, P.P. Bonissone. A fuzzy k-nearest neighbor classifier to deal with imperfect data. Soft Computing 22 (10), 3313-3330, 2018 J.J. Ortiz-Servin, D.A. Pelta, J.M. Cadenas, A. Castillo, J-L. Montes-Tadeo. Methodology for integrated fuel lattice and fuel loaf optimization using population-based metaheuristics and decision trees. Progress in Nuclear Energy 104, 264-270, 2018 E. Paniagua, J.M. Cadenas, B. Lopez-Ayuso. Una revisión del modelado del conocimiento acerca del diseño arquitectónico. Academia XXII 15, 70-85, 2017. E. Muñoz, J.M. Cadenas, Y.S. Ong, G. Acampora. Memetic Music Composition. IEEE transaction on Evolutionary Computation 20 (1), 1-15, 2016. J.M. Cadenas, J.J. Ortiz-Servin, D.A. Pelta, J-L. Montes-Tadeo, R. Perusquia, A. Castillo. Prediction of 3D nuclear reactor's operational parameters from 2D fuel lattice design information: A data mining approach. Progress in Nuclear Energy 91, 97-106, 2016. L. Serrano-Luján, J.M. Cadenas, J. Faxas-Guzmán, A. Urbina. Case of study: photovoltaic faults recognition method based on data mining techniques. Journal of Renewable and Sustainable Energy 8 (4), 1-18, 2016. J.J. Ortiz-Servin, J.M. Cadenas, D.A. Pelta, A. Castillo, J.-L Montes-Tadeo. Nuclear Fuel Lattice Performance Analysis by Data Mining Techniques. Annals of Nuclear Energy 80, 236-247, 2015. J.M. Cadenas, M.C. Garrido, R. Martinez. Measuring Data Imperfection in a Neighborhood Based Method. Advances in Artificial Intelligence. LNAI 9422, 213-223, 2015. M.A. Guillén-Navarro, E. Paniagua, J.M. Cadenas, B. López-Ayuso. Una revisión de la Cadena Datos-Información-Conocimiento desde el Pragmatismo de Peirce. Documentación de las Ciencias de la Información 38, 153-177, 2015. C. Ruiz-Samblás, J.M. Cadenas, D.A. Pelta, L. Cuadros-Rodriguez. Application of data mining methods for classification and prediction of olive blends with other vegetable oils. Analytical and Bioanalytical Chemistry 406, 2591-2601, 2014 J.M. Cadenas, M.C. Garrido, R. Martínez. NIP - An Imperfection Processor to Data Mining datasets. International Journal of Computational Intelligence Systems 6 (supplement 1), 3-17, 2013. J.M. Cadenas, M.C. Garrido, R. Martinez. Feature subset selection Filter-Wrapper based on low quality data. Experts Systems with Applications 40(16), 6241-6252, 2013.