Juan José Rodríguez

57 papers A 1B 1C 4Misc 2Journal 27Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Semi-Supervised Rotation Forest. J. Comput. Sci. José Miguel Ramírez-Sanz, David Martínez-Acha, Álvar Arnaiz-González, César García-Osorio, Juan José Rodríguez
2025	J	`jnl`	Identifying users of immersive virtual-reality serious games through machine-learning techniques. Virtual Real. Ines Miguel-Alonso, Juan José Rodríguez, Ana Serrano Mamolar, Andrés Bustillo
2025	J	`jnl`	SSLearn: A Semi-Supervised Learning library for Python. SoftwareX José Luis Garrido-Labrador, Jesús Manuel Maudes Raedo, Juan José Rodríguez, César Ignacio García-Osorio
2025	J	`jnl`	Semi-supervised prediction of protein fitness for data-driven protein engineering. J. Cheminformatics Alicia Olivares-Gil, José Antonio Barbero-Aparicio, Juan José Rodríguez, José-Francisco Díez-Pastor, César García-Osorio, Mehdi D. Davari
2024	—	`conf`	A Constrained Cluster Ensemble Using Hierarchical Clustering Methods. IS Francis J. Williams, Samuel L. Hennessey, Ludmila I. Kuncheva, José-Francisco Díez-Pastor, Juan José Rodríguez
2024	J	`jnl`	Addressing data scarcity in protein fitness landscape analysis: A study on semi-supervised and deep transfer learning techniques. Inf. Fusion José Antonio Barbero-Aparicio, Alicia Olivares-Gil, Juan José Rodríguez, César García-Osorio, José-Francisco Díez-Pastor
2024	J	`jnl`	Ensemble methods and semi-supervised learning for information fusion: A review and future research directions. Inf. Fusion José Luis Garrido-Labrador, Ana Serrano Mamolar, Jesús Manuel Maudes Raedo, Juan José Rodríguez, César García-Osorio
2024	J	`jnl`	Semi-supervised classification with pairwise constraints: A case study on animal identification from video. Inf. Fusion Ludmila I. Kuncheva, José Luis Garrido-Labrador, Ismael Ramos-Pérez, Samuel L. Hennessey, Juan José Rodríguez
2023	J	`jnl`	An experiment on animal re-identification from video. Ecol. Informatics Ludmila I. Kuncheva, José Luis Garrido-Labrador, Ismael Ramos-Pérez, Samuel L. Hennessey, Juan José Rodríguez
2022	C	`conf`	A Benchmark Database for Animal Re-Identification and Tracking. IPAS Ludmila I. Kuncheva, Francis J. Williams, Samuel L. Hennessey, Juan José Rodríguez
2022	C	`conf`	Combination of Object Tracking and Object Detection for Animal Recognition. IPAS Francis J. Williams, Ludmila I. Kuncheva, Juan José Rodríguez, Samuel L. Hennessey
2022	J	`jnl`	Correction to: Rotation Forest for multi-target regression. Int. J. Mach. Learn. Cybern. Juan José Rodríguez, Mario Juez-Gil, Carlos López Nozal, Álvar Arnaiz-González
2022	J	`jnl`	Rotation Forest for multi-target regression. Int. J. Mach. Learn. Cybern. Juan José Rodríguez, Mario Juez-Gil, Carlos López Nozal, Álvar Arnaiz-González
2022	J	`jnl`	When is resampling beneficial for feature selection with imbalanced wide data? Expert Syst. Appl. Ismael Ramos-Pérez, Álvar Arnaiz-González, Juan José Rodríguez, César García-Osorio
2021	J	`jnl`	Approx-SMOTE: Fast SMOTE for Big Data on Apache Spark. Neurocomputing Mario Juez-Gil, Álvar Arnaiz-González, Juan José Rodríguez, Carlos López Nozal, César García-Osorio
2021	J	`jnl`	Experimental evaluation of ensemble classifiers for imbalance in Big Data. Appl. Soft Comput. Mario Juez-Gil, Álvar Arnaiz-González, Juan José Rodríguez, César García-Osorio
2020	J	`jnl`	An experimental evaluation of mixup regression forests. Expert Syst. Appl. Juan José Rodríguez, Mario Juez-Gil, Álvar Arnaiz-González, Ludmila I. Kuncheva
2020	J	`jnl`	Feature Selection from High-Dimensional Data with Very Low Sample Size: A Cautionary Tale. CoRR Ludmila I. Kuncheva, Clare E. Matthews, Álvar Arnaiz-González, Juan José Rodríguez
2020	J	`jnl`	Random Balance ensembles for multiclass imbalance learning. Knowl. Based Syst. Juan José Rodríguez, José-Francisco Díez-Pastor, Álvar Arnaiz-González, Ludmila I. Kuncheva
2016	J	`jnl`	Instance selection of linear complexity for big data. Knowl. Based Syst. Álvar Arnaiz-González, José-Francisco Díez-Pastor, Juan José Rodríguez, César Ignacio García-Osorio
2015	J	`jnl`	Diversity techniques improve the performance of the best imbalance learning ensembles. Inf. Sci. José-Francisco Díez-Pastor, Juan José Rodríguez, César Ignacio García-Osorio, Ludmila I. Kuncheva
2013	C	`conf`	Improvements in Modelling of Complex Manufacturing Processes Using Classification Techniques. IEA/AIE Pedro Santos, Jesús Maudes, Andrés Bustillo, Juan José Rodríguez
2012	J	`jnl`	Classifier Ensemble Methods for Diagnosing COPD from Volatile Organic Compounds in Exhaled Air. Int. J. Knowl. Discov. Bioinform. Ludmila I. Kuncheva, Juan José Rodríguez, Yasir Iftikhar Syed, Christopher O. Phillips, Keir Edward Lewis
2011	—	`conf`	Ensembles of Decision Trees for Imbalanced Data. MCS Juan José Rodríguez, José-Francisco Díez-Pastor, César Ignacio García-Osorio
2011	—	`conf`	GRASP Forest: A New Ensemble Method for Trees. MCS José-Francisco Díez-Pastor, César Ignacio García-Osorio, Juan José Rodríguez, Andrés Bustillo
2011	J	`jnl`	Modelling of process parameters in laser polishing of steel components using ensembles of regression trees. Int. J. Comput. Integr. Manuf. Andrés Bustillo, Eneko Ukar, Juan José Rodríguez, Aitzol Lamikiz
2011	—	`conf`	Using Ensembles of Regression Trees to Monitor Lubricating Oil Quality. IEA/AIE (1) Andrés Bustillo, Alberto Villar, Eneko Gorritxategi, Susana Ferreiro, Juan José Rodríguez
2010	—	`conf`	An Empirical Study of Multilayer Perceptron Ensembles for Regression Tasks. IEA/AIE (2) Carlos Pardo, Juan José Rodríguez, César Ignacio García-Osorio, Jesús Maudes
2010	—	`conf`	An Experimental Study on Ensembles of Functional Trees. MCS Juan José Rodríguez, César Ignacio García-Osorio, Jesús Maudes, José-Francisco Díez-Pastor
2010	—	`conf`	Ensemble Methods and Model Based Diagnosis Using Possible Conflicts and System Decomposition. IEA/AIE (2) Carlos J. Alonso-González, Juan José Rodríguez, Oscar J. Prieto, Belarmino Pulido Junquera
2010	J	`jnl`	Forests of nested dichotomies. Pattern Recognit. Lett. Juan José Rodríguez, César Ignacio García-Osorio, Jesús Maudes
2010	—	`conf`	Random Projections for SVM Ensembles. IEA/AIE (2) Jesús Maudes, Juan José Rodríguez, César Ignacio García-Osorio, Carlos Pardo
2009	—	`conf`	Disturbing Neighbors Ensembles for Linear SVM. MCS Jesús Maudes, Juan José Rodríguez, César Ignacio García-Osorio
2008	J	`jnl`	Boosting recombined weak classifiers. Pattern Recognit. Lett. Juan José Rodríguez, Jesús Maudes
2008	—	`conf`	Combining Online Classification Approaches for Changing Environments. SSPR/SPR Juan José Rodríguez, Ludmila I. Kuncheva
2008	—	`conf`	License Plate Number Recognition - New Heuristics and a Comparative Study of Classifiers. ICINCO-RA (1) César Ignacio García-Osorio, José-Francisco Díez-Pastor, Juan José Rodríguez, Jesús Maudes
2007	—	`conf`	An Experimental Study on Rotation Forest Ensembles. MCS Ludmila I. Kuncheva, Juan José Rodríguez
2007	—	`conf`	Cascading for Nominal Data. MCS Jesús Maudes, Juan José Rodríguez, César Ignacio García-Osorio
2007	J	`jnl`	Classifier Ensembles with a Random Linear Oracle. IEEE Trans. Knowl. Data Eng. Ludmila I. Kuncheva, Juan José Rodríguez
2007	—	`conf`	Naïve Bayes Ensembles with a Random Oracle. MCS Juan José Rodríguez, Ludmila I. Kuncheva
2007	—	`conf`	Stacking Dynamic Time Warping for the Diagnosis of Dynamic Systems. CAEPIA Carlos J. Alonso, Oscar J. Prieto, Juan José Rodríguez, Aníbal Bregón, Belarmino Pulido Junquera
2006	A	`conf`	Ensembles of Grafted Trees. ECAI Juan José Rodríguez, Jesús Maudes
2006	J	`jnl`	Rotation Forest: A New Classifier Ensemble Method. IEEE Trans. Pattern Anal. Mach. Intell. Juan José Rodríguez, Ludmila I. Kuncheva, Carlos J. Alonso
2006	B	`conf`	Rotation-based ensembles of RBF networks. ESANN Juan José Rodríguez, Jesús Maudes, Carlos J. Alonso
2005	Misc	`conf`	Bias and Variance of Rotation-Based Ensembles. IWANN Juan José Rodríguez, Carlos J. Alonso, Oscar J. Prieto
2005	—	`conf`	Early Fault Classification in Dynamic Systems Using Case-Based Reasoning. CAEPIA Aníbal Bregón, María Aránzazu Simón Hurtado, Juan José Rodríguez, Carlos J. Alonso, Belarmino Pulido Junquera, Q. Isaac Moro
2005	J	`jnl`	Support vector machines of interval-based features for time series classification. Knowl. Based Syst. Juan José Rodríguez, Carlos J. Alonso, José A. Maestro
2004	J	`jnl`	Clasificación de Series: Máquinas de Vectores Soporte y Literales basados en Intervalos. Inteligencia Artif. Juan José Rodríguez, Carlos J. Alonso
2004	Misc	`conf`	Interval and dynamic time warping-based decision trees. SAC Juan José Rodríguez, Carlos J. Alonso
2004	—	`conf`	Support Vector Machines of Interval-based Features for Time Series Classification. SGAI Conf. Juan José Rodríguez, Carlos J. Alonso
2003	—	`conf`	Enhancing Consistency Based Diagnosis with Machine Learning Techniques. CAEPIA Carlos J. Alonso, Juan José Rodríguez, Belarmino Pulido Junquera
2003	C	`conf`	RBF Networks from Boosted Rules. SNPD Juan José Rodríguez, Vanesa Paniego, Leticia Villar, Carlos J. Alonso
2003	—	`conf`	Rotation-Based Ensembles. CAEPIA Juan José Rodríguez, Carlos J. Alonso
2001	J	`jnl`	Learning microcontrollers with a CAI oriented multi-micro simulation environment. IEEE Trans. Educ. Alfredo del Río, Juan José Rodríguez, Andrés A. Nogueiras Meléndez
2000	—	`conf`	Learning First Order Logic Time Series Classifiers. ILP Work-in-progress reports Juan José Rodríguez, Carlos J. Alonso, Henrik Boström
1999	—	`conf`	Obtaining Generic Classes Automatically through a Parameterization Operator: A Focus on Constrained Genericity. TOOLS (31) Yania Crespo, Juan José Rodríguez, José Manuel Marqués Corral
1999	—	`conf`	Obtención Automática de Clases Genéricas a Través de una Operación de Parametrización. JISBD Yania Crespo, Juan José Rodríguez, Francisco José García-Peñalvo, José Manuel Marqués Corral