default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJuan José Rodríguez Diez
Juan J. Rodríguez Diez – Juan José Rodríguez
Person information
- affiliation: University of Burgos, Spain
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 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) - [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 - 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) - [c39]Ludmila I. Kuncheva, Francis J. Williams, Samuel L. Hennessey, Juan José Rodríguez:
A Benchmark Database for Animal Re-Identification and Tracking. IPAS 2022: 1-6 - [c38]Francis J. Williams, Ludmila I. Kuncheva, Juan José Rodríguez, Samuel L. Hennessey:
Combination of Object Tracking and Object Detection for Animal Recognition. IPAS 2022: 1-6 - 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) - [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)
2010 – 2019
- 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) - [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 - 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) - [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
- [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) - [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
- [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) - [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 - [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 - 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) - [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
2000 – 2009
- 2009
- [c24]Jesús Maudes, Juan José Rodríguez, César Ignacio García-Osorio:
Disturbing Neighbors Ensembles for Linear SVM. MCS 2009: 191-200 - [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 - 2008
- [j10]Juan José Rodríguez, Jesús Maudes:
Boosting recombined weak classifiers. Pattern Recognit. Lett. 29(8): 1049-1059 (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
- [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) - [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
- [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) - [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
- [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) - [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
- [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) - [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
- [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) - [c6]Juan J. Rodríguez Diez, Carlos Alonso González:
Learning Classification RBF Networks by Boosting. Multiple Classifier Systems 2001: 43-52 - 2000
- [j1]Carlos Alonso González, Juan J. Rodríguez Diez:
Time Series Classification by Boosting Interval Based Literals. Inteligencia Artif. 4(11): 2-11 (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
1990 – 1999
- 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
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-23 21:23 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
