| Clustering-based k-nearest neighbor classification for large-scale data with neural codes representation AJ Gallego, J Calvo-Zaragoza, JJ Valero-Mas, JR Rico-Juan Pattern Recognition 74, 531-543, 2018 | 123 | 2018 |
| Improving kNN multi-label classification in Prototype Selection scenarios using class proposals J Calvo-Zaragoza, JJ Valero-Mas, JR Rico-Juan Pattern Recognition 48 (5), 1608-1622, 2015 | 78 | 2015 |
| Machine learning with explainability or spatial hedonics tools? An analysis of the asking prices in the housing market in Alicante, Spain JR Rico-Juan, PT de La Paz Expert Systems with Applications 171, 114590, 2021 | 61 | 2021 |
| Comparison of AESA and LAESA search algorithms using string and tree-edit-distances JR Rico-Juan, L Micó Pattern Recognition Letters 24 (9-10), 1417-1426, 2003 | 61 | 2003 |
| Oversampling imbalanced data in the string space FJ Castellanos, JJ Valero-Mas, J Calvo-Zaragoza, JR Rico-Juan Pattern Recognition Letters 103, 32-38, 2018 | 54 | 2018 |
| Efficient k-nearest neighbor search based on clustering and adaptive k values AJ Gallego, JR Rico-Juan, JJ Valero-Mas Pattern recognition 122, 108356, 2022 | 48 | 2022 |
| Automatic detection of inconsistencies between numerical scores and textual feedback in peer-assessment processes with machine learning J Rico-Juan, J. R., Gallego, A. J., and Calvo-Zaragoza Computers & Education 140, 103609, 2019 | 41 | 2019 |
| New rank methods for reducing the size of the training set using the nearest neighbor rule JR Rico-Juan, JM Iñesta Pattern Recognition Letters 33 (5), 654-660, 2012 | 41 | 2012 |
| Probabilistic k-Testable Tree Languages JR Rico-Juan, J Calera-Rubio, RC Carrasco Grammatical Inference: Algorithms and Applications: 5th International …, 2000 | 32 | 2000 |
| Extensions to rank-based prototype selection in k-Nearest Neighbour classification J Rico-Juan, J. R. and Valero-Mas, J. J. Calvo-Zaragoza Applied Soft Computing 85, 105803, 2019 | 29 | 2019 |
| A similarity between probabilistic tree languages: application to XML document families RC Carrasco, JR Rico-Juan Pattern Recognition 36 (9), 2197-2199, 2003 | 29 | 2003 |
| Estilos de aprendizaje y método de caso: una investigación empírica en la Diplomatura en Trabajo Social VM Giménez Bartomeu, NM Alfonseti Hartmann, MA Lillo Beneyto, ... Revista de estilos de aprendizaje, 2008 | 27 | 2008 |
| Insights into efficient k-nearest neighbor classification with convolutional neural codes AJ Gallego, J Calvo-Zaragoza, JR Rico-Juan IEEE Access 8, 99312-99326, 2020 | 25 | 2020 |
| Prototype generation on structural data using dissimilarity space representation J Calvo-Zaragoza, JJ Valero-Mas, JR Rico-Juan Neural Computing and Applications 28, 2415-2424, 2017 | 25 | 2017 |
| A new iterative algorithm for computing a quality approximate median of strings based on edit operations J Abreu, JR Rico-Juan Pattern Recognition Letters 36, 74-80, 2014 | 25 | 2014 |
| Stochastic k-testable Tree Languages and Applications JR Rico-Juan, J Calera-Rubio, RC Carrasco International Colloquium on Grammatical Inference, 199-212, 2002 | 25 | 2002 |
| Statistical semi-supervised system for grading multiple peer-reviewed open-ended works JR Rico-Juan, AJ Gallego, JJ Valero-Mas, J Calvo-Zaragoza Computers & Education 126, 264-282, 2018 | 22 | 2018 |
| On the suitability of Prototype Selection methods for kNN classification with distributed data JJ Valero-Mas, J Calvo-Zaragoza, JR Rico-Juan Neurocomputing 203, 150-160, 2016 | 20 | 2016 |
| An experimental study on rank methods for prototype selection JJ Valero-Mas, J Calvo-Zaragoza, JR Rico-Juan, JM Iñesta Soft Computing 21, 5703-5715, 2017 | 16 | 2017 |
| Smoothing and compression with stochastic k-testable tree languages JR Rico-Juan, J Calera-Rubio, RC Carrasco Pattern Recognition 38 (9), 1420-1430, 2005 | 16 | 2005 |
Jose J. Valero-MasAssistant Professor, University of Alicante, SpainVerified email at dlsi.ua.es
