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ORCIDJuan Ramón Rico-Juan
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- affiliation: University of Alicante, Spain
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2020 – today
- 2024
[j33]Juan Ramón Rico-Juan, Cristina Cachero, Hermenegilda Macià
:
Study regarding the influence of a student's personality and an LMS usage profile on learning performance using machine learning techniques. Appl. Intell. 54(8): 6175-6197 (2024)- [j32]Jose J. Valero-Mas, Antonio Javier Gallego, Juan Ramón Rico-Juan:
An overview of ensemble and feature learning in few-shot image classification using siamese networks. Multim. Tools Appl. 83(7): 19929-19952 (2024) - [i1]Juan Ramón Rico-Juan, Víctor M. Sánchez-Cartagena, Jose J. Valero-Mas, Antonio Javier Gallego:
Identifying Student Profiles Within Online Judge Systems Using Explainable Artificial Intelligence. CoRR abs/2402.03948 (2024) - 2023
- [j31]Cristina Cachero, Juan Ramón Rico-Juan, Hermenegilda Macià:
Influence of personality and modality on peer assessment evaluation perceptions using Machine Learning techniques. Expert Syst. Appl. 213(Part): 119150 (2023) - [j30]Juan Llorca-Schenk, Juan Ramón Rico-Juan, Miguel Sánchez Lozano:
Designing porthole aluminium extrusion dies on the basis of eXplainable Artificial Intelligence. Expert Syst. Appl. 222: 119808 (2023) - [j29]Juan Ramón Rico-Juan, Víctor M. Sánchez-Cartagena, Jose J. Valero-Mas, Antonio Javier Gallego:
Identifying Student Profiles Within Online Judge Systems Using Explainable Artificial Intelligence. IEEE Trans. Learn. Technol. 16(6): 955-969 (2023) - 2022
- [j28]Antonio Oliver-Roig, Juan Ramón Rico-Juan, Miguel Richart-Martínez, Julio Cabrero-García:
Predicting exclusive breastfeeding in maternity wards using machine learning techniques. Comput. Methods Programs Biomed. 221: 106837 (2022) - [j27]Antonio Javier Gallego, Juan Ramón Rico-Juan, Jose J. Valero-Mas:
Efficient k-nearest neighbor search based on clustering and adaptive k values. Pattern Recognit. 122: 108356 (2022) - 2021
- [j26]Javier Ortega Bastida, Antonio Javier Gallego, Juan Ramón Rico-Juan, Pedro Albarrán:
A multimodal approach for regional GDP prediction using social media activity and historical information. Appl. Soft Comput. 111: 107693 (2021) - [j25]Juan Ramón Rico-Juan, Paloma Taltavull de La Paz:
Machine learning with explainability or spatial hedonics tools? An analysis of the asking prices in the housing market in Alicante, Spain. Expert Syst. Appl. 171: 114590 (2021) - 2020
- [j24]Antonio Javier Gallego, Jorge Calvo-Zaragoza, Juan Ramón Rico-Juan:
Insights Into Efficient k-Nearest Neighbor Classification With Convolutional Neural Codes. IEEE Access 8: 99312-99326 (2020) - [j23]Juan Ramón Rico-Juan, Jose J. Valero-Mas, José M. Iñesta:
Bounding Edit Distance for similarity-based sequence classification on Structural Pattern Recognition. Appl. Soft Comput. 97(Part): 106778 (2020) - [j22]Jorge Calvo-Zaragoza, Juan Ramón Rico-Juan, Antonio Javier Gallego:
Ensemble classification from deep predictions with test data augmentation. Soft Comput. 24(2): 1423-1433 (2020)
2010 – 2019
- 2019
- [j21]Juan Ramón Rico-Juan, Jose J. Valero-Mas, Jorge Calvo-Zaragoza:
Extensions to rank-based prototype selection in k-Nearest Neighbour classification. Appl. Soft Comput. 85 (2019) - [j20]Juan Ramón Rico-Juan, Antonio Javier Gallego, Jorge Calvo-Zaragoza:
Automatic detection of inconsistencies between numerical scores and textual feedback in peer-assessment processes with machine learning. Comput. Educ. 140 (2019) - 2018
- [j19]Juan Ramón Rico-Juan, Antonio Javier Gallego, Jose J. Valero-Mas, Jorge Calvo-Zaragoza:
Statistical semi-supervised system for grading multiple peer-reviewed open-ended works. Comput. Educ. 126: 264-282 (2018) - [j18]Antonio Javier Gallego, Jorge Calvo-Zaragoza, Jose J. Valero-Mas, Juan Ramón Rico-Juan:
Clustering-based k-nearest neighbor classification for large-scale data with neural codes representation. Pattern Recognit. 74: 531-543 (2018) - [j17]Francisco J. Castellanos, Jose J. Valero-Mas, Jorge Calvo-Zaragoza, Juan Ramón Rico-Juan:
Oversampling imbalanced data in the string space. Pattern Recognit. Lett. 103: 32-38 (2018) - [c14]Fernando Llopis Pascual, Jorge Azorín López, Juan Ramón Rico-Juan, Andrés Fuster Guilló, Irene Llopis:
Tuberculosis Detection using Optical Flow and the Activity Description Vector. CLEF (Working Notes) 2018 - 2017
- [j16]Jorge Calvo-Zaragoza, Jose J. Valero-Mas, Juan Ramón Rico-Juan:
Prototype generation on structural data using dissimilarity space representation. Neural Comput. Appl. 28(9): 2415-2424 (2017) - [j15]Jose J. Valero-Mas, Jorge Calvo-Zaragoza, Juan Ramón Rico-Juan, José Manuel Iñesta Quereda:
An experimental study on rank methods for prototype selection. Soft Comput. 21(19): 5703-5715 (2017) - [j14]Jorge Calvo-Zaragoza, Jose J. Valero-Mas, Juan Ramón Rico-Juan:
Selecting promising classes from generated data for an efficient multi-class nearest neighbor classification. Soft Comput. 21(20): 6183-6189 (2017) - [c13]Jose J. Valero-Mas, Jorge Calvo-Zaragoza, Juan Ramón Rico-Juan, José Manuel Iñesta Quereda:
A Study of Prototype Selection Algorithms for Nearest Neighbour in Class-Imbalanced Problems. IbPRIA 2017: 335-343 - [c12]Jorge Calvo-Zaragoza, Jose J. Valero-Mas, Juan Ramón Rico-Juan:
Recognition of Handwritten Music Symbols using Meta-features Obtained from Weak Classifiers based on Nearest Neighbor. ICPRAM 2017: 96-104 - 2016
- [j13]Jose J. Valero-Mas, Jorge Calvo-Zaragoza, Juan Ramón Rico-Juan:
On the suitability of Prototype Selection methods for kNN classification with distributed data. Neurocomputing 203: 150-160 (2016) - 2015
- [j12]Juan Ramón Rico-Juan, Jorge Calvo-Zaragoza:
Improving classification using a Confidence Matrix based on weak classifiers applied to OCR. Neurocomputing 151: 1354-1361 (2015) - [j11]Jorge Calvo-Zaragoza, Jose J. Valero-Mas, Juan Ramón Rico-Juan:
Improving kNN multi-label classification in Prototype Selection scenarios using class proposals. Pattern Recognit. 48(5): 1608-1622 (2015) - [c11]Jorge Calvo-Zaragoza, Jose J. Valero-Mas, Juan Ramón Rico-Juan:
Prototype Generation on Structural Data Using Dissimilarity Space Representation: A Case of Study. IbPRIA 2015: 75-82 - 2014
- [j10]Juan Ramón Rico-Juan, José Manuel Iñesta Quereda:
Adaptive training set reduction for nearest neighbor classification. Neurocomputing 138: 316-324 (2014) - [j9]José Ignacio Abreu, Juan Ramón Rico-Juan:
A new iterative algorithm for computing a quality approximate median of strings based on edit operations. Pattern Recognit. Lett. 36: 74-80 (2014) - 2013
- [j8]José Ignacio Abreu, Juan Ramón Rico-Juan:
An improved fast edit approach for two-string approximated mean computation applied to OCR. Pattern Recognit. Lett. 34(5): 496-504 (2013) - 2012
- [j7]Juan Ramón Rico-Juan, José Manuel Iñesta Quereda:
Confidence voting method ensemble applied to off-line signature verification. Pattern Anal. Appl. 15(2): 113-120 (2012) - [j6]Juan Ramón Rico-Juan, José Manuel Iñesta Quereda:
New rank methods for reducing the size of the training set using the nearest neighbor rule. Pattern Recognit. Lett. 33(5): 654-660 (2012) - [j5]Juan Ramón Rico-Juan, José Manuel Iñesta Quereda:
Corrigendum to "New rank methods for reducing the size of the training set using the nearest neighbor rule" [Pattern Recognition Letters 33(5) (2012) 654-660. Pattern Recognit. Lett. 33(10): 1434 (2012) - 2011
- [j4]José Ignacio Abreu Salas, Juan Ramón Rico-Juan:
Characterization of contour regularities based on the Levenshtein edit distance. Pattern Recognit. Lett. 32(10): 1421-1427 (2011) - 2010
- [c10]José Ignacio Abreu Salas, Juan Ramón Rico-Juan:
A New Editing Scheme Based on a Fast Two-String Median Computation Applied to OCR. SSPR/SPR 2010: 748-756
2000 – 2009
- 2009
- [c9]Juan Ramón Rico-Juan:
Creating Synchronized Presentations for Mobile Devices Using Open Source Tools. CSREA EE 2009: 50-52 - [c8]José Ignacio Abreu Salas, Juan Ramón Rico-Juan:
Contour Regularity Extraction Based on String Edit Distance. IbPRIA 2009: 160-167 - 2008
- [p1]Juan Ramón Rico-Juan, José Manuel Iñesta Quereda:
Normalisation of Confidence Voting Methods Applied to a Fast Handwritten OCR Classification. Computer Recognition Systems 2 2008: 405-412 - 2006
- [c7]Juan Ramón Rico-Juan, José Manuel Iñesta Quereda:
Edit Distance for Ordered Vector Sets: A Case of Study. SSPR/SPR 2006: 200-207 - 2005
- [j3]Juan Ramón Rico-Juan, Jorge Calera-Rubio, Rafael C. Carrasco:
Smoothing and compression with stochastic k-testable tree languages. Pattern Recognit. 38(9): 1420-1430 (2005) - 2004
- [c6]Juan Ramón Rico-Juan, Luisa Micó:
Finding Significant Points for a Handwritten Classification Task. ICIAR (1) 2004: 440-446 - 2003
- [j2]Rafael C. Carrasco, Juan Ramón Rico-Juan:
A similarity between probabilistic tree languages: application to XML document families. Pattern Recognit. 36(9): 2197-2199 (2003) - [j1]Juan Ramón Rico-Juan, Luisa Micó:
Comparison of AESA and LAESA search algorithms using string and tree-edit-distances. Pattern Recognit. Lett. 24(9-10): 1417-1426 (2003) - [c5]Juan Ramón Rico-Juan, Luisa Micó:
Some Results about the Use of Tree/String Edit Distances in a~Nearest Neighbour Classification Task. IbPRIA 2003: 821-828 - 2002
- [c4]Juan Ramón Rico-Juan, Jorge Calera-Rubio, Rafael C. Carrasco:
Stochastic k-testable Tree Languages and Applications. ICGI 2002: 199-212 - [c3]Juan Ramón Rico-Juan, Jorge Calera-Rubio:
Evaluation of Handwritten Character Recognizers Using Tree-Edit-Distance and Fast Nearest Neighbour Search. PRIS 2002: 326-335 - 2000
- [c2]Juan Ramón Rico-Juan, Jorge Calera-Rubio, Rafael C. Carrasco:
Probabilistic k-Testable Tree Languages. ICGI 2000: 221-228 - [c1]Juan Ramón Rico-Juan, Jorge Calera-Rubio, Rafael C. Carrasco:
Lossless Compression of Surfaces Described as Points. SSPR/SPR 2000: 457-461
Coauthor Index
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