Daniel Hernández-Lobato

	2011
18		Daniel Hernández-Lobato, José Miguel Hernández-Lobato, Pierre Dupont: Robust Multi-Class Gaussian Process Classification. NIPS 2011: 280-288
17		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)
16		José Miguel Hernández-Lobato, Daniel Hernández-Lobato, Alberto Suárez: Network-based sparse Bayesian classification. Pattern Recognition 44(4): 886-900 (2011)
15		Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez: Inference on the prediction of ensembles of infinite size. Pattern Recognition 44(7): 1426-1434 (2011)
	2010
14		Daniel Hernández-Lobato, José Miguel Hernández-Lobato, Thibault Helleputte, Pierre Dupont: Expectation Propagation for Bayesian Multi-task Feature Selection. ECML/PKDD (1) 2010: 522-537
13		Víctor Soto, Gonzalo Martínez-Muñoz, Daniel Hernández-Lobato, Alberto Suárez: A Double Pruning Algorithm for Classification Ensembles. MCS 2010: 104-113
12		Daniel Hernández-Lobato, José Miguel Hernández-Lobato, Alberto Suárez: Expectation Propagation for microarray data classification. Pattern Recognition Letters 31(12): 1618-1626 (2010)
	2009
11		Gonzalo Martínez-Muñoz, Daniel Hernández-Lobato, Alberto Suárez: Statistical Instance-Based Ensemble Pruning for Multi-class Problems. ICANN (1) 2009: 90-99
10		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)
9		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)
	2008
8		Daniel Hernández-Lobato: Sparse Bayes Machines for Binary Classification. ICANN (1) 2008: 205-214
7		Daniel Hernández-Lobato, José Miguel Hernández-Lobato: Bayes Machines for binary classification. Pattern Recognition Letters 29(10): 1466-1473 (2008)
	2007
6		Gonzalo Martínez-Muñoz, Daniel Hernández-Lobato, Alberto Suárez: Selection of Decision Stumps in Bagging Ensembles. ICANN (1) 2007: 319-328
5		José Miguel Hernández-Lobato, Daniel Hernández-Lobato, Alberto Suárez: GARCH Processes with Non-parametric Innovations for Market Risk Estimation. ICANN (2) 2007: 718-727
4		Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez: Out of Bootstrap Estimation of Generalization Error Curves in Bagging Ensembles. IDEAL 2007: 47-56
	2006
3		Gonzalo Martínez-Muñoz, Aitor Sánchez-Martínez, Daniel Hernández-Lobato, Alberto Suárez: Building Ensembles of Neural Networks with Class-Switching. ICANN (1) 2006: 178-187
2		Daniel Hernández-Lobato, José Miguel Hernández-Lobato, Rubén Ruiz-Torrubiano, Ángel Valle: Pruning Adaptive Boosting Ensembles by Means of a Genetic Algorithm. IDEAL 2006: 322-329
1		Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez: Pruning in Ordered Regression Bagging Ensembles. IJCNN 2006: 1266-1273

Coauthor Index

1	Pierre Dupont	[14] [18]
2	Thibault Helleputte	[14]
3	José Miguel Hernández-Lobato	[2] [5] [7] [12] [14] [16] [18]
4	Gonzalo Martínez-Muñoz	[1] [3] [4] [6] [9] [10] [11] [13] [15] [17]
5	Rubén Ruiz-Torrubiano	[2]
6	Aitor Sánchez-Martínez	[3]
7	Víctor Soto	[13]
8	Alberto Suárez	[1] [3] [4] [5] [6] [9] [10] [11] [12] [13] [15] [16] [17]
9	Ángel Valle	[2]

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