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 | 1087 | 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 | 913 | 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 | 701 | 2015 |
Discrete Bayesian network classifiers: A survey C Bielza, P Larranaga ACM Computing Surveys (CSUR) 47 (1), 1-43, 2014 | 332 | 2014 |
Multi-dimensional classification with Bayesian networks C Bielza, G Li, P Larranaga International Journal of Approximate Reasoning 52 (6), 705-727, 2011 | 271 | 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 | 271 | 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 | 218 | 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 | 195 | 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 | 193 | 2013 |
On time-dependent wavelet denoising B Vidakovic, CB Lozoya IEEE Transactions on Signal Processing 46 (9), 2549-2554, 1998 | 171 | 1998 |
Bayesian networks in neuroscience: a survey C Bielza, P Larrañaga Frontiers in computational neuroscience 8, 131, 2014 | 158 | 2014 |
A Survey of L1 Regression D Vidaurre, C Bielza, P Larranaga International Statistical Review 81 (3), 361-387, 2013 | 154 | 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 | 148 | 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 | 144 | 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 | 140 | 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 | 120 | 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 | 105 | 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 | 104 | 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 | 103 | 2013 |
Industrial applications of machine learning P Larrañaga, D Atienza, J Diaz-Rozo, A Ogbechie, CE Puerto-Santana, ... CRC press, 2018 | 97 | 2018 |