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ORCIDJuan José Rodríguez Diez
Juan J. Rodríguez Diez – Juan José Rodríguez
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- affiliation: University of Burgos, Spain
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Journal Articles
- 2024
[j50]José Alberto Maestro-Prieto, José Miguel Ramírez-Sanz, Andrés Bustillo
, Juan José Rodríguez Diez:
Semi-supervised diagnosis of wind-turbine gearbox misalignment and imbalance faults. Appl. Intell. 54(6): 4525-4544 (2024)- [j49]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) - [j48]Ludmila I. Kuncheva, José Luis Garrido-Labrador, Ismael Ramos-Pérez, Samuel L. Hennessey, Juan José Rodríguez:
Semi-supervised classification with pairwise constraints: A case study on animal identification from video. Inf. Fusion 104: 102188 (2024) - [j47]José Luis Garrido-Labrador, Ana Serrano Mamolar, Jesús Manuel Maudes Raedo, Juan José Rodríguez, César García-Osorio:
Ensemble methods and semi-supervised learning for information fusion: A review and future research directions. Inf. Fusion 107: 102310 (2024) - 2023
- [j46]Ludmila I. Kuncheva, José Luis Garrido-Labrador, Ismael Ramos-Pérez, Samuel L. Hennessey, Juan José Rodríguez:
An experiment on animal re-identification from video. Ecol. Informatics 74: 101994 (2023) - 2022
- [j45]Ismael Ramos-Pérez, Álvar Arnaiz-González, Juan José Rodríguez, César García-Osorio:
When is resampling beneficial for feature selection with imbalanced wide data? Expert Syst. Appl. 188: 116015 (2022) - [j44]Juan José Rodríguez, Mario Juez-Gil, Carlos López Nozal, Álvar Arnaiz-González:
Rotation Forest for multi-target regression. Int. J. Mach. Learn. Cybern. 13(2): 523-548 (2022) - [j43]Juan José Rodríguez, Mario Juez-Gil, Carlos López Nozal, Álvar Arnaiz-González:
Correction to: Rotation Forest for multi-target regression. Int. J. Mach. Learn. Cybern. 13(2): 549-550 (2022) - 2021
- [j42]Mario Juez-Gil, Álvar Arnaiz-González, Juan José Rodríguez, César García-Osorio:
Experimental evaluation of ensemble classifiers for imbalance in Big Data. Appl. Soft Comput. 108: 107447 (2021) - [j41]Mario Juez-Gil, Álvar Arnaiz-González, Juan José Rodríguez, Carlos López Nozal, César García-Osorio:
Approx-SMOTE: Fast SMOTE for Big Data on Apache Spark. Neurocomputing 464: 432-437 (2021) - [j40]Mario Juez-Gil, Álvar Arnaiz-González, Juan José Rodríguez Diez, Carlos López Nozal, César García-Osorio:
Rotation Forest for Big Data. Inf. Fusion 74: 39-49 (2021) - [j39]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
- [j38]Juan José Rodríguez, Mario Juez-Gil, Álvar Arnaiz-González, Ludmila I. Kuncheva:
An experimental evaluation of mixup regression forests. Expert Syst. Appl. 151: 113376 (2020) - [j37]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) - 2019
- [j36]William J. Faithfull, Juan José Rodríguez Diez, Ludmila I. Kuncheva:
Combining univariate approaches for ensemble change detection in multivariate data. Inf. Fusion 45: 202-214 (2019) - 2018
- [j35]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]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) - [j33]Ludmila I. Kuncheva, Juan José Rodríguez Diez:
On feature selection protocols for very low-sample-size data. Pattern Recognit. 81: 660-673 (2018) - 2017
- [j32]Juan José Rodríguez Diez, Guillem Quintana, Andrés Bustillo, Joaquim Ciurana:
A decision-making tool based on decision trees for roughness prediction in face milling. Int. J. Comput. Integr. Manuf. 30(9): 943-957 (2017) - [j31]Ludmila I. Kuncheva, Juan José Rodríguez Diez, Aaron S. Jackson:
Restricted set classification: Who is there? Pattern Recognit. 63: 158-170 (2017) - 2016
- [j30]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]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]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]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]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]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) - [j24]Oscar J. Prieto, Carlos J. Alonso-González, Juan José Rodríguez Diez:
Stacking for multivariate time series classification. Pattern Anal. Appl. 18(2): 297-312 (2015) - 2014
- [j23]Andrés Bustillo, Juan José Rodríguez Diez:
Online breakage detection of multitooth tools using classifier ensembles for imbalanced data. Int. J. Syst. Sci. 45(12): 2590-2602 (2014) - [j22]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) - [j21]Ludmila I. Kuncheva, Juan José Rodríguez Diez:
A weighted voting framework for classifiers ensembles. Knowl. Inf. Syst. 38(2): 259-275 (2014) - 2013
- [j20]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) - [j19]Ludmila I. Kuncheva, Juan José Rodríguez Diez:
Interval feature extraction for classification of event-related potentials (ERP) in EEG data analysis. Prog. Artif. Intell. 2(1): 65-72 (2013) - 2012
- [j18]Ludmila I. Kuncheva, Juan José Rodríguez, Yasir Iftikhar Syed, Christopher O. Phillips, Keir Edward Lewis:
Classifier Ensemble Methods for Diagnosing COPD from Volatile Organic Compounds in Exhaled Air. Int. J. Knowl. Discov. Bioinform. 3(2): 1-15 (2012) - [j17]Jesús Maudes, Juan J. Rodríguez Diez, César Ignacio García-Osorio, Nicolás García-Pedrajas:
Random feature weights for decision tree ensemble construction. Inf. Fusion 13(1): 20-30 (2012) - [j16]Nicolás García-Pedrajas, Jesús Manuel Maudes Raedo, César Ignacio García-Osorio, Juan José Rodríguez Diez:
Supervised subspace projections for constructing ensembles of classifiers. Inf. Sci. 193: 1-21 (2012) - 2011
- [j15]Jesús Maudes, Juan J. Rodríguez Diez, César Ignacio García-Osorio, Carlos Pardo:
Random projections for linear SVM ensembles. Appl. Intell. 34(3): 347-359 (2011) - [j14]Andrés Bustillo, Eneko Ukar, Juan José Rodríguez, Aitzol Lamikiz:
Modelling of process parameters in laser polishing of steel components using ensembles of regression trees. Int. J. Comput. Integr. Manuf. 24(8): 735-747 (2011) - 2010
- [j13]Gregor Stiglic, Juan José Rodríguez Diez, Peter Kokol:
Finding optimal classifiers for small feature sets in genomics and proteomics. Neurocomputing 73(13-15): 2346-2352 (2010) - [j12]Juan José Rodríguez, César Ignacio García-Osorio, Jesús Maudes:
Forests of nested dichotomies. Pattern Recognit. Lett. 31(2): 125-132 (2010) - [j11]Ludmila I. Kuncheva, Juan José Rodríguez Diez, Catrin O. Plumpton, David E. J. Linden, Stephen J. Johnston:
Random Subspace Ensembles for fMRI Classification. IEEE Trans. Medical Imaging 29(2): 531-542 (2010) - 2008
- [j10]Juan José Rodríguez, Jesús Maudes:
Boosting recombined weak classifiers. Pattern Recognit. Lett. 29(8): 1049-1059 (2008) - 2007
- [j9]Ludmila I. Kuncheva, Victor J. del Rio Vilas, Juan J. Rodríguez Diez:
Diagnosing scrapie in sheep: A classification experiment. Comput. Biol. Medicine 37(8): 1194-1202 (2007) - [j8]Ludmila I. Kuncheva, Juan José Rodríguez:
Classifier Ensembles with a Random Linear Oracle. IEEE Trans. Knowl. Data Eng. 19(4): 500-508 (2007) - 2006
- [j7]Juan José Rodríguez, Ludmila I. Kuncheva, Carlos J. Alonso:
Rotation Forest: A New Classifier Ensemble Method. IEEE Trans. Pattern Anal. Mach. Intell. 28(10): 1619-1630 (2006) - 2005
- [j6]Juan José Rodríguez, Carlos J. Alonso, José A. Maestro:
Support vector machines of interval-based features for time series classification. Knowl. Based Syst. 18(4-5): 171-178 (2005) - 2004
- [j5]Juan José Rodríguez, Carlos J. Alonso:
Clasificación de Series: Máquinas de Vectores Soporte y Literales basados en Intervalos. Inteligencia Artif. 8(23): 131-138 (2004) - 2001
- [j4]Juan J. Rodríguez Diez, Carlos J. Alonso, Q. Isaac Moro-Sancho:
Clasificación de Patrones Temporales en Sistemas Dinámicos mediante Boosting y Alineamiento Dinámico Temporal. Computación y Sistemas 5(2) (2001) - [j3]Juan J. Rodríguez Diez, Carlos Alonso González, Henrik Boström:
Boosting interval based literals. Intell. Data Anal. 5(3): 245-262 (2001) - [j2]Alfredo del Río, Juan José Rodríguez, Andrés A. Nogueiras Meléndez:
Learning microcontrollers with a CAI oriented multi-micro simulation environment. IEEE Trans. Educ. 44(2): 15 (2001) - 2000
- [j1]Carlos Alonso González, Juan J. Rodríguez Diez:
Time Series Classification by Boosting Interval Based Literals. Inteligencia Artif. 4(11): 2-11 (2000)
Conference and Workshop Papers
- 2024
- [c40]Íñigo Martin-Melero, Ana Serrano Mamolar, Juan J. Rodríguez Diez:
Evaluation of Semi-Supervised Machine Learning applied to Affective State Detection. PerCom Workshops 2024: 320-325 - 2022
- [c39]Ludmila I. Kuncheva, Francis Williams, Samuel L. Hennessey, Juan José Rodríguez:
A Benchmark Database for Animal Re-Identification and Tracking. IPAS 2022: 1-6 - [c38]Francis Williams, Ludmila I. Kuncheva, Juan José Rodríguez, Samuel L. Hennessey:
Combination of Object Tracking and Object Detection for Animal Recognition. IPAS 2022: 1-6 - 2015
- [c37]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 - 2013
- [c36]Pedro Santos, Jesús Maudes, Andrés Bustillo, Juan José Rodríguez:
Improvements in Modelling of Complex Manufacturing Processes Using Classification Techniques. IEA/AIE 2013: 664-673 - [c35]Juan José Rodríguez Diez, José-Francisco Díez-Pastor, César Ignacio García-Osorio:
Random Oracle Ensembles for Imbalanced Data. MCS 2013: 247-258 - 2012
- [c34]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]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]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 - [c31]Andrés Bustillo, Alberto Villar, Eneko Gorritxategi, Susana Ferreiro, Juan José Rodríguez:
Using Ensembles of Regression Trees to Monitor Lubricating Oil Quality. IEA/AIE (1) 2011: 199-206 - [c30]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]Juan José Rodríguez, José-Francisco Díez-Pastor, César Ignacio García-Osorio:
Ensembles of Decision Trees for Imbalanced Data. MCS 2011: 76-85 - 2010
- [c28]Jesús Maudes, Juan José Rodríguez, César Ignacio García-Osorio, Carlos Pardo:
Random Projections for SVM Ensembles. IEA/AIE (2) 2010: 87-95 - [c27]Carlos Pardo, Juan José Rodríguez, César Ignacio García-Osorio, Jesús Maudes:
An Empirical Study of Multilayer Perceptron Ensembles for Regression Tasks. IEA/AIE (2) 2010: 106-115 - [c26]Carlos J. Alonso-González, Juan José Rodríguez, Oscar J. Prieto, Belarmino Pulido Junquera:
Ensemble Methods and Model Based Diagnosis Using Possible Conflicts and System Decomposition. IEA/AIE (2) 2010: 116-125 - [c25]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 - 2009
- [c24]Jesús Maudes, Juan José Rodríguez, César Ignacio García-Osorio:
Disturbing Neighbors Ensembles for Linear SVM. MCS 2009: 191-200 - 2008
- [c23]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 - [c22]Gregor Stiglic, Juan J. Rodríguez Diez, Peter Kokol:
Feature Selection and Classification for Small Gene Sets. PRIB 2008: 121-131 - [c21]Juan José Rodríguez, Ludmila I. Kuncheva:
Combining Online Classification Approaches for Changing Environments. SSPR/SPR 2008: 520-529 - 2007
- [c20]Carlos J. Alonso, Oscar J. Prieto, Juan José Rodríguez, Aníbal Bregón, Belarmino Pulido Junquera:
Stacking Dynamic Time Warping for the Diagnosis of Dynamic Systems. CAEPIA 2007: 11-20 - [c19]Juan J. Rodríguez Diez:
Rotation Forest and Random Oracles: Two Classifier Ensemble Methods. CBMS 2007: 3 - [c18]Jesús Maudes, Juan José Rodríguez, César Ignacio García-Osorio:
Cascading for Nominal Data. MCS 2007: 231-240 - [c17]Juan José Rodríguez, Ludmila I. Kuncheva:
Naïve Bayes Ensembles with a Random Oracle. MCS 2007: 450-458 - [c16]Ludmila I. Kuncheva, Juan José Rodríguez:
An Experimental Study on Rotation Forest Ensembles. MCS 2007: 459-468 - 2006
- [c15]Juan José Rodríguez, Jesús Maudes:
Ensembles of Grafted Trees. ECAI 2006: 803-804 - [c14]Juan José Rodríguez, Jesús Maudes, Carlos J. Alonso:
Rotation-based ensembles of RBF networks. ESANN 2006: 605-610 - 2005
- [c13]Aníbal Bregón, María Aránzazu Simón Hurtado, Juan José Rodríguez, Carlos J. Alonso, Belarmino Pulido Junquera, Q. Isaac Moro:
Early Fault Classification in Dynamic Systems Using Case-Based Reasoning. CAEPIA 2005: 211-220 - [c12]Juan José Rodríguez, Carlos J. Alonso, Oscar J. Prieto:
Bias and Variance of Rotation-Based Ensembles. IWANN 2005: 779-786 - 2004
- [c11]Juan José Rodríguez, Carlos J. Alonso:
Interval and dynamic time warping-based decision trees. SAC 2004: 548-552 - [c10]Juan José Rodríguez, Carlos J. Alonso:
Support Vector Machines of Interval-based Features for Time Series Classification. SGAI Conf. 2004: 244-257 - 2003
- [c9]Carlos J. Alonso, Juan José Rodríguez, Belarmino Pulido Junquera:
Enhancing Consistency Based Diagnosis with Machine Learning Techniques. CAEPIA 2003: 312-321 - [c8]Juan José Rodríguez, Carlos J. Alonso:
Rotation-Based Ensembles. CAEPIA 2003: 498-506 - [c7]Juan José Rodríguez, Vanesa Paniego, Leticia Villar, Carlos J. Alonso:
RBF Networks from Boosted Rules. SNPD 2003: 460-465 - 2001
- [c6]Juan J. Rodríguez Diez, Carlos Alonso González:
Learning Classification RBF Networks by Boosting. Multiple Classifier Systems 2001: 43-52 - 2000
- [c5]Juan José Rodríguez, Carlos J. Alonso, Henrik Boström:
Learning First Order Logic Time Series Classifiers. ILP Work-in-progress reports 2000 - [c4]Juan J. Rodríguez Diez, Carlos Alonso González:
Applying Boosting to Similarity Literals for Time Series Classification. Multiple Classifier Systems 2000: 210-219 - [c3]Juan J. Rodríguez Diez, Carlos Alonso González, Henrik Boström:
Learning First Order Logic Time Series Classifiers: Rules and Boosting. PKDD 2000: 299-308 - 1999
- [c2]Yania Crespo, Juan José Rodríguez, Francisco José García-Peñalvo, José Manuel Marqués Corral:
Obtención Automática de Clases Genéricas a Través de una Operación de Parametrización. JISBD 1999: 343-354 - [c1]Yania Crespo, Juan José Rodríguez, José Manuel Marqués Corral:
Obtaining Generic Classes Automatically through a Parameterization Operator: A Focus on Constrained Genericity. TOOLS (31) 1999: 166-176
Parts in Books or Collections
- 2011
- [p2]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 - 2009
- [p1]Jesús Maudes, Juan J. Rodríguez Diez, César Ignacio García-Osorio:
Disturbing Neighbors Diversity for Decision Forests. Applications of Supervised and Unsupervised Ensemble Methods 2009: 113-133
Informal and Other Publications
- 2020
- [i1]Ludmila I. Kuncheva, Clare E. Matthews, Álvar Arnaiz-González, Juan José Rodríguez:
Feature Selection from High-Dimensional Data with Very Low Sample Size: A Cautionary Tale. CoRR abs/2008.12025 (2020)
Coauthor Index
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