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Daniel Hernández-Lobato

◀ ▶ joint publications with Gonzalo Martínez-Muñoz

> Home > Persons > Daniel Hernández-Lobato

Publications

2015
[j13]
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  - journals/ijon/Hernandez-LobatoKMP15
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Daniel Hernández-Lobato, Ioannis Katakis, Gonzalo Martínez-Muñoz, Ioannis Partalas:
Special Issue on "Solving complex machine learning problems with ensemble methods". Neurocomputing 150: 402-403 (2015)
2014
[j11]
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  - journals/tcyb/SotoGMHS14
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Víctor Soto, Sergio García-Moratilla, Gonzalo Martínez-Muñoz, Daniel Hernández-Lobato, Alberto Suárez:
A Double Pruning Scheme for Boosting Ensembles. IEEE Trans. Cybern. 44(12): 2682-2695 (2014)
2013
[j9]
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  - journals/pr/Hernandez-LobatoMS13
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Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez:
How large should ensembles of classifiers be? Pattern Recognit. 46(5): 1323-1336 (2013)
2012
[c12]
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  - electronic edition @ esann.org (open access)
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  - conf/esann/Hernandez-LobatoMS12
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Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez:
On the Independence of the Individual Predictions in Parallel Randomized Ensembles. ESANN 2012
2011
[j8]
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  - journals/ijon/Hernandez-LobatoMS11
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Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez:
Empirical analysis and evaluation of approximate techniques for pruning regression bagging ensembles. Neurocomputing 74(12-13): 2250-2264 (2011)
[j6]
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Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez:
Inference on the prediction of ensembles of infinite size. Pattern Recognit. 44(7): 1426-1434 (2011)
2010
[c10]
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  - conf/mcs/SotoMHS10
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Víctor Soto, Gonzalo Martínez-Muñoz, Daniel Hernández-Lobato, Alberto Suárez:
A Double Pruning Algorithm for Classification Ensembles. MCS 2010: 104-113
2009
[j4]
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  - journals/pami/Martinez-MunozHS09
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Gonzalo Martínez-Muñoz, Daniel Hernández-Lobato, Alberto Suárez:
An Analysis of Ensemble Pruning Techniques Based on Ordered Aggregation. IEEE Trans. Pattern Anal. Mach. Intell. 31(2): 245-259 (2009)
[j3]
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Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez:
Statistical Instance-Based Pruning in Ensembles of Independent Classifiers. IEEE Trans. Pattern Anal. Mach. Intell. 31(2): 364-369 (2009)
[c8]
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  - conf/icann/Martinez-MunozHS09
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Gonzalo Martínez-Muñoz, Daniel Hernández-Lobato, Alberto Suárez:
Statistical Instance-Based Ensemble Pruning for Multi-class Problems. ICANN (1) 2009: 90-99
2008
[j2]
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  - journals/ijon/Martinez-MunozSHS08
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Gonzalo Martínez-Muñoz, Aitor Sánchez-Martínez, Daniel Hernández-Lobato, Alberto Suárez:
Class-switching neural network ensembles. Neurocomputing 71(13-15): 2521-2528 (2008)
2007
[c6]
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  - conf/icann/Martinez-MunozHS07
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Gonzalo Martínez-Muñoz, Daniel Hernández-Lobato, Alberto Suárez:
Selection of Decision Stumps in Bagging Ensembles. ICANN (1) 2007: 319-328
[c4]
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  - conf/ideal/Hernandez-LobatoMS07
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Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez:
Out of Bootstrap Estimation of Generalization Error Curves in Bagging Ensembles. IDEAL 2007: 47-56
2006
[c3]
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  - conf/icann/Martinez-MunozSHS06
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Gonzalo Martínez-Muñoz, Aitor Sánchez-Martínez, Daniel Hernández-Lobato, Alberto Suárez:
Building Ensembles of Neural Networks with Class-Switching. ICANN (1) 2006: 178-187
[c1]
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  - conf/ijcnn/Hernandez-LobatoMS06
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Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez:
Pruning in Ordered Regression Bagging Ensembles. IJCNN 2006: 1266-1273

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