3D morphology-based clustering and simulation of human pyramidal cell dendritic spines.

Autor: Sergio Luengo-Sanchez, Isabel Fernaud-Espinosa, Concha Bielza, Ruth Benavides-Piccione, Pedro Larrañaga, Javier DeFelipe

Publikováno v: PLoS Computational Biology, Vol 14, Iss 6, p e1006221 (2018)

The dendritic spines of pyramidal neurons are the targets of most excitatory synapses in the cerebral cortex. They have a wide variety of morphologies, and their morphology appears to be critical from the functional point of view. To further characte

Externí odkaz: https://doaj.org/article/dda99d766df04acd909840fa86223a46

Myocarditis in a young male affected with monkeypox infection: a case report.

Autor: Pérez, Sergio Luengo, Lizarraga, Julián Abdala, Ferrer, Esther Jaén, Soriano, Francisco Ridocci

Publikováno v: European Heart Journal Case Reports; May2023, Vol. 7 Issue 5, p1-5, 5p

Tractable learning of Bayesian networks from partially observed data

Autor: Concha Bielza, Pedro Larrañaga, Marco Benjumeda, Sergio Luengo-Sanchez

Publikováno v: Pattern Recognition, ISSN 0031-3203, 2019-07, Vol. 91
Archivo Digital UPM
instname
Pattern Recognition

The majority of real-world problems require addressing incomplete data. The use of the structural expectation-maximization algorithm is the most common approach toward learning Bayesian networks from incomplete datasets. However, its main limitation

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e455f00091ed5f354412a024445c4b18
https://oa.upm.es/63470/

A univocal definition of the neuronal soma morphology using Gaussian mixture models

Autor: Ruth Benavides-Piccione, Concha Bielza, Javier DeFelipe, Sergio Luengo-Sanchez, Pedro Larrañaga, Isabel Fernaud-Espinosa

Publikováno v: Digital.CSIC. Repositorio Institucional del CSIC
instname
Frontiers in Neuroanatomy, Vol 9 (2015)
Frontiers in Neuroanatomy
Frontiers in Neuroanatomy, ISSN 1662-5129, 2015-11, Vol. 9
Archivo Digital UPM
Universidad Politécnica de Madrid

The definition of the soma is fuzzy, as there is no clear line demarcating the soma of the labeled neurons and the origin of the dendrites and axon. Thus, the morphometric analysis of the neuronal soma is highly subjective. In this paper, we provide

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7307323b7f6118a5296aba998486c69c
http://hdl.handle.net/10261/152870

Heterogeneous model ensembles for short-term prediction of stock market trends

Autor: Bonifacio Castaño, Sergio Luengo, Susanne Schaller, Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller

Publikováno v: International Journal of Simulation and Process Modelling. 11:504

Here, we discuss the identification of heterogeneous ensembles for short-term prediction of trends in stock markets. The goal is to predict trends (uptrend, sideways trend, or downtrend) for the next day, the next week, and the next month. A sliding

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35473990c7ef5b8c4b6e38f2fa8906a0
https://doi.org/10.1504/ijspm.2016.10001558