Follow
Juan Ramón RICO-JUAN
Title
Cited by
Cited by
Year
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
812018
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
672015
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
602003
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
382012
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
372018
Probabilistic k-Testable Tree Languages
JR Rico-Juan, J Calera-Rubio, RC Carrasco
International Colloquium on Grammatical Inference, 221-228, 2000
342000
A similarity between probabilistic tree languages: application to XML document families
RC Carrasco, JR Rico-Juan
Pattern Recognition 36 (9), 2197-2199, 2003
282003
Stochastic k-testable Tree Languages and Applications
JR Rico-Juan, J Calera-Rubio, RC Carrasco
International Colloquium on Grammatical Inference, 199-212, 2002
252002
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
242008
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
232014
Prototype generation on structural data using dissimilarity space representation
J Calvo-Zaragoza, JJ Valero-Mas, JR Rico-Juan
Neural Computing and Applications 28 (9), 2415-2424, 2017
212017
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
182019
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
162019
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
162016
Adaptive training set reduction for nearest neighbor classification
JR Rico-Juan, JM Iñesta
Neurocomputing 138, 316-324, 2014
152014
Confidence voting method ensemble applied to off-line signature verification
JR Rico-Juan, JM Inesta
Pattern Analysis and Applications 15 (2), 113-120, 2012
152012
Smoothing and compression with stochastic k-testable tree languages
JR Rico-Juan, J Calera-Rubio, RC Carrasco
Pattern Recognition 38 (9), 1420-1430, 2005
152005
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
132018
An experimental study on rank methods for prototype selection
JJ Valero-Mas, J Calvo-Zaragoza, JR Rico-Juan, JM Iñesta
Soft Computing 21 (19), 5703-5715, 2017
122017
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
112021
The system can't perform the operation now. Try again later.
Articles 1–20