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Juan José Rodríguez Diez

◀ ▶ joint publications with José-Francisco Díez-Pastor

> Home > Persons > Juan José Rodríguez Diez

Publications

2024
[j48]
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  - journals/inffus/BarberoAparicioORGD24
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José Antonio Barbero-Aparicio, Alicia Olivares-Gil, Juan José Rodríguez, César García-Osorio, José-Francisco Díez-Pastor:
Addressing data scarcity in protein fitness landscape analysis: A study on semi-supervised and deep transfer learning techniques. Inf. Fusion 102: 102035 (2024)
2021
[j39]
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  - journals/jche/Saiz-Manzanares21
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María Consuelo Sáiz-Manzanares, Raúl Marticorena Sánchez, Juan José Rodríguez Diez, Sandra Rodríguez-Arribas, José-Francisco Díez-Pastor, Yi Peng Ji:
Improve teaching with modalities and collaborative groups in an LMS: an analysis of monitoring using visualisation techniques. J. Comput. High. Educ. 33(3): 747-778 (2021)
2020
[j37]
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  - journals/kbs/RodriguezDAK20
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Juan José Rodríguez, José-Francisco Díez-Pastor, Álvar Arnaiz-González, Ludmila I. Kuncheva:
Random Balance ensembles for multiclass imbalance learning. Knowl. Based Syst. 193: 105434 (2020)
2018
[j35]
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  - journals/asc/Arnaiz-Gonzalez18
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Álvar Arnaiz-González, José-Francisco Díez-Pastor, Juan José Rodríguez Diez, César García-Osorio:
Local sets for multi-label instance selection. Appl. Soft Comput. 68: 651-666 (2018)
[j34]
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  - journals/eswa/Arnaiz-Gonzalez18
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Álvar Arnaiz-González, José-Francisco Díez-Pastor, Juan José Rodríguez Diez, César García-Osorio:
Study of data transformation techniques for adapting single-label prototype selection algorithms to multi-label learning. Expert Syst. Appl. 109: 114-130 (2018)
2016
[j30]
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Álvar Arnaiz-González, José-Francisco Díez-Pastor, Juan José Rodríguez Diez, César Ignacio García-Osorio:
Instance selection for regression by discretization. Expert Syst. Appl. 54: 340-350 (2016)
[j29]
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  - journals/ijon/Arnaiz-Gonzalez16
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Álvar Arnaiz-González, José-Francisco Díez-Pastor, Juan José Rodríguez Diez, César Ignacio García-Osorio:
Instance selection for regression: Adapting DROP. Neurocomputing 201: 66-81 (2016)
[j28]
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  - journals/kbs/Arnaiz-Gonzalez16
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Álvar Arnaiz-González, José-Francisco Díez-Pastor, Juan José Rodríguez, César Ignacio García-Osorio:
Instance selection of linear complexity for big data. Knowl. Based Syst. 107: 83-95 (2016)
[j27]
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  - journals/pai/Arnaiz-Gonzalez16
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Álvar Arnaiz-González, José-Francisco Díez-Pastor, César Ignacio García-Osorio, Juan José Rodríguez Diez:
Random feature weights for regression trees. Prog. Artif. Intell. 5(2): 91-103 (2016)
2015
[j26]
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  - journals/isci/Diez-PastorRGK15
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José-Francisco Díez-Pastor, Juan José Rodríguez, César Ignacio García-Osorio, Ludmila I. Kuncheva:
Diversity techniques improve the performance of the best imbalance learning ensembles. Inf. Sci. 325: 98-117 (2015)
[j25]
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  - journals/kbs/Diez-PastorRGK15
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José-Francisco Díez-Pastor, Juan José Rodríguez Diez, César Ignacio García-Osorio, Ludmila I. Kuncheva:
Random Balance: Ensembles of variable priors classifiers for imbalanced data. Knowl. Based Syst. 85: 96-111 (2015)
[c37]
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  - conf/mcs/RodriguezDAG15
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Juan José Rodríguez Diez, José-Francisco Díez-Pastor, Álvar Arnaiz-González, César Ignacio García-Osorio:
An Experimental Study on Combining Binarization Techniques and Ensemble Methods of Decision Trees. MCS 2015: 181-193
2014
[j22]
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  - journals/inffus/Diez-PastorGR14
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José-Francisco Díez-Pastor, César Ignacio García-Osorio, Juan José Rodríguez Diez:
Tree ensemble construction using a GRASP-based heuristic and annealed randomness. Inf. Fusion 20: 189-202 (2014)
2013
[j20]
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  - journals/amc/PardoDGR13
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Carlos Pardo, José-Francisco Díez-Pastor, César Ignacio García-Osorio, Juan José Rodríguez Diez:
Rotation Forests for regression. Appl. Math. Comput. 219(19): 9914-9924 (2013)
[c35]
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  - conf/mcs/RodriguezDG13
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Juan José Rodríguez Diez, José-Francisco Díez-Pastor, César Ignacio García-Osorio:
Random Oracle Ensembles for Imbalanced Data. MCS 2013: 247-258
2012
[c34]
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  - conf/icmla/RodriguezDMG12
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Juan José Rodríguez Diez, José-Francisco Díez-Pastor, Jesús Maudes, César Ignacio García-Osorio:
Disturbing Neighbors Ensembles of Trees for Imbalanced Data. ICMLA (2) 2012: 83-88
[c33]
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  - conf/icpram/Pardo-AguilarDGRG12
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Carlos Pardo-Aguilar, José-Francisco Díez-Pastor, Nicolás García-Pedrajas, Juan José Rodríguez Diez, César Ignacio García-Osorio:
Linear Projection Methods - An Experimental Study for Regression Problems. ICPRAM (1) 2012: 198-204
2011
[c32]
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  - conf/caepia/DiezDGS11
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Juan J. Rodríguez Diez, José-Francisco Díez-Pastor, César Ignacio García-Osorio, Pedro Santos:
Using Model Trees and Their Ensembles for Imbalanced Data. CAEPIA 2011: 94-103
[c30]
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  - conf/mcs/Diez-PastorGRB11
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José-Francisco Díez-Pastor, César Ignacio García-Osorio, Juan José Rodríguez, Andrés Bustillo:
GRASP Forest: A New Ensemble Method for Trees. MCS 2011: 66-75
[c29]
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  - conf/mcs/RodriguezDG11
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Juan José Rodríguez, José-Francisco Díez-Pastor, César Ignacio García-Osorio:
Ensembles of Decision Trees for Imbalanced Data. MCS 2011: 76-85
[p2]
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  - series/sci/PardoDDG11
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Carlos Pardo, Juan J. Rodríguez Diez, José-Francisco Díez-Pastor, César Ignacio García-Osorio:
Random Oracles for Regression Ensembles. Ensembles in Machine Learning Applications 2011: 181-199
2010
[c25]
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  - conf/mcs/RodriguezGMD10
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Juan José Rodríguez, César Ignacio García-Osorio, Jesús Maudes, José-Francisco Díez-Pastor:
An Experimental Study on Ensembles of Functional Trees. MCS 2010: 64-73
2008
[c23]
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  - conf/icinco/Garcia-OsorioDRM08
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César Ignacio García-Osorio, José-Francisco Díez-Pastor, Juan José Rodríguez, Jesús Maudes:
License Plate Number Recognition - New Heuristics and a Comparative Study of Classifiers. ICINCO-RA (1) 2008: 268-273

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