Sergio Luengo-Sanchez
Cited by
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3D morphology-based clustering and simulation of human pyramidal cell dendritic spines
S Luengo-Sanchez, I Fernaud-Espinosa, C Bielza, R Benavides-Piccione, ...
PLoS computational biology 14 (6), e1006221, 2018
Optimization of Trading Rules for the Spanish Stock Market by Genetic Programming
S Luengo-Sanchez, S Winkler, DF Barrero, B Castaño
Current Approaches in Applied Artificial Intelligence, 623--634, 2015
A univocal definition of the neuronal soma morphology using Gaussian mixture models
S Luengo-Sanchez, C Bielza, R Benavides-Piccione, I Fernaud-Espinosa, ...
Frontiers in Neuroanatomy 9, 2015
A Directional-Linear Bayesian Network and Its Application for Clustering and Simulation of Neural Somas
S Luengo-Sanchez, P Larrañaga, C Bielza
IEEE Access 7, 69907-69921, 2019
Hybrid Gaussian and von Mises Model-Based Clustering
S Luengo-Sanchez, C Bielza, P Larrañaga
ECAI 2016: 22nd European Conference on Artificial Intelligence 285, 855-862, 2016
Tractable learning of Bayesian networks from partially observed data
M Benjumeda, S Luengo-Sanchez, P Larranaga, C Bielza
Pattern Recognition 91, 190-199, 2019
Clustering based on Bayesian networks with Gaussian and angular predictors: applications in Neuroscience
S Luengo-Sánchez
Universidad Politécnica de Madrid, 2019
Bounding the complexity of structural expectation-maximization
MA Benjumeda Barquita, S Luengo Sánchez, PM Larrañaga Múgica, ...
Digital Bibliography & Library Project 80, 1-3, 2018
Directional-linear data clustering using structural expectation-maximization algorithm
S Luengo Sánchez, MC Bielza Lozoya, PM Larrañaga Múgica
ETSI_Informatica, 2017
Heterogeneous model ensembles for short-term prediction of stock market trends
SM Winkler, B Castaño, S Luengo, S Schaller, G Kronberger, ...
International Journal of Simulation and Process Modelling 11 (6), 504-513, 2016
Clustering basado en redes bayesianas con predictoras continuas: aplicaciones en neurociencia
S Luengo Sánchez
ETSI_Informatica, 2014
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