Concha Bielza
Concha Bielza
Other namesCB Lozoya
Professor of Statistics and Operations Research, Technical University of Madrid
Verified email at - Homepage
Cited by
Cited by
Machine learning in bioinformatics
P Larranaga, B Calvo, R Santana, C Bielza, J Galdiano, I Inza, JA Lozano, ...
Briefings in bioinformatics 7 (1), 86-112, 2006
New insights into the classification and nomenclature of cortical GABAergic interneurons
J DeFelipe, PL López-Cruz, R Benavides-Piccione, C Bielza, P Larrañaga, ...
Nature Reviews Neuroscience 14 (3), 202-216, 2013
A survey on multi‐output regression
H Borchani, G Varando, C Bielza, P Larranaga
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 5 (5 …, 2015
Discrete Bayesian network classifiers: A survey
C Bielza, P Larranaga
ACM Computing Surveys (CSUR) 47 (1), 1-43, 2014
Multi-dimensional classification with Bayesian networks
C Bielza, G Li, P Larranaga
International Journal of Approximate Reasoning 52 (6), 705-727, 2011
Comparison of Bayesian networks and artificial neural networks for quality detection in a machining process
M Correa, C Bielza, J Pamies-Teixeira
Expert systems with applications 36 (3), 7270-7279, 2009
A community-based transcriptomics classification and nomenclature of neocortical cell types
R Yuste, M Hawrylycz, N Aalling, A Aguilar-Valles, D Arendt, ...
Nature neuroscience 23 (12), 1456-1468, 2020
Bayesian chain classifiers for multidimensional classification
JH Zaragoza, LE Sucar, EF Morales, PM Larrañaga Múgica, ...
Association for the Advancement of Artificial Intelligence 3, 2192-2197, 2011
A review on evolutionary algorithms in Bayesian network learning and inference tasks
P Larranaga, H Karshenas, C Bielza, R Santana
Information Sciences 233, 109-125, 2013
On time-dependent wavelet denoising
B Vidakovic, CB Lozoya
IEEE Transactions on Signal Processing 46 (9), 2549-2554, 1998
Bayesian networks in neuroscience: a survey
C Bielza, P Larrañaga
Frontiers in computational neuroscience 8, 131, 2014
A Survey of L1 Regression
D Vidaurre, C Bielza, P Larranaga
International Statistical Review 81 (3), 361-387, 2013
Parkinson's disease subtypes identified from cluster analysis of motor and non-motor symptoms
J Mu, KR Chaudhuri, C Bielza, J de Pedro-Cuesta, P Larrañaga, ...
Frontiers in aging neuroscience 9, 301, 2017
Multi-label classification with Bayesian network-based chain classifiers
LE Sucar, C Bielza, EF Morales, P Hernandez-Leal, JH Zaragoza, ...
Pattern Recognition Letters 41, 14-22, 2014
A review of estimation of distribution algorithms in bioinformatics
R Armañanzas, I Inza, R Santana, Y Saeys, JL Flores, JA Lozano, ...
BioData mining 1, 1-12, 2008
Comparison between supervised and unsupervised classifications of neuronal cell types: a case study
L Guerra, LM McGarry, V Robles, C Bielza, P Larranaga, R Yuste
Developmental neurobiology 71 (1), 71-82, 2011
A review on probabilistic graphical models in evolutionary computation
P Larrañaga, H Karshenas, C Bielza, R Santana
Journal of Heuristics 18, 795-819, 2012
Multiobjective estimation of distribution algorithm based on joint modeling of objectives and variables
H Karshenas, R Santana, C Bielza, P Larranaga
IEEE Transactions on Evolutionary Computation 18 (4), 519-542, 2013
Predicting dementia development in Parkinson's disease using Bayesian network classifiers
DA Morales, Y Vives-Gilabert, B Gómez-Ansón, E Bengoetxea, ...
Psychiatry Research: NeuroImaging 213 (2), 92-98, 2013
A comparison of graphical techniques for asymmetric decision problems
C Bielza, PP Shenoy
Management Science 45 (11), 1552-1569, 1999
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