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ORCIDJuan José Rodríguez Diez
Publications
- 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)- 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
- [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 - 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) - 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
- [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
- [j31]Ludmila I. Kuncheva, Juan José Rodríguez Diez, Aaron S. Jackson:
Restricted set classification: Who is there? Pattern Recognit. 63: 158-170 (2017) - 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) - 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
- [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) - 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
- [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) - [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)
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