Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Rosario Susi"'
Autor:
Verónica Romero-Ferreiro, Rosario Susi, Eva M. Sánchez-Morla, Paloma Marí-Beffa, Pablo Rodríguez-Gómez, Julia Amador, Eva M. Moreno, Carmen Romero, Natalia Martínez-García, Roberto Rodriguez-Jimenez
Publikováno v:
Frontiers in Psychology, Vol 13 (2022)
Delusions are one of the most classical symptoms described in schizophrenia. However, despite delusions are often emotionally charged, they have been investigated using tasks involving non-affective material, such as the Beads task. In this study we
Externí odkaz:
https://doaj.org/article/5575c42aab254e49b276ea164058e8f7
Publikováno v:
PLoS ONE, Vol 13, Iss 8, p e0202173 (2018)
PURPOSE:To quantify the levels of performance (symptom severity) of the computer-vision symptom scale (CVSS17), confirm its bifactorial structure as detected in an exploratory factor analysis, and validate its factors as subscales. METHODS:By partial
Externí odkaz:
https://doaj.org/article/5ba30c87521e42969d6d168848e3158d
Autor:
Verónica Romero-Ferreiro, Rosario Susi, Eva M. Sánchez-Morla, Paloma Marí-Beffa, Pablo Rodríguez-Gómez, Julia Amador, Eva M. Moreno, Carmen Romero, Natalia Martínez-García, Roberto Rodriguez-Jimenez
Publikováno v:
Frontiers in psychology. 13
Delusions are one of the most classical symptoms described in schizophrenia. However, despite delusions are often emotionally charged, they have been investigated using tasks involving non-affective material, such as the Beads task. In this study we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dfe95bb222c49672fcc1ec77ec370860
https://pubmed.ncbi.nlm.nih.gov/36405220
https://pubmed.ncbi.nlm.nih.gov/36405220
Publikováno v:
Journal of Multivariate Analysis. 124:214-225
Bayesian networks (BNs) have become an essential tool for reasoning under uncertainty in complex models. In particular, the subclass of Gaussian Bayesian networks (GBNs) can be used to model continuous variables with Gaussian distributions. Here we f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::079f708c1cfa436dfe96c5e8fd36f5de
https://doi.org/10.1016/j.jmva.2013.10.022
https://doi.org/10.1016/j.jmva.2013.10.022
Publikováno v:
Applied Mathematics and Computation. 219:10499-10505
The multivariate exponential power family is considered for n-dimensional random variables, Z, with a known partition Z=(Y,X) of dimensions p and n-p, respectively, with interest focusing on the conditional distribution Y|X. An infinitesimal variatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::284533ef61b14d6763ff597de168d160
https://doi.org/10.1016/j.amc.2013.04.031
https://doi.org/10.1016/j.amc.2013.04.031
Publikováno v:
Information Sciences. 222:439-458
In this work we study the effects of model inaccuracies on the description of a Gaussian Bayesian network with a set of variables of interest and a set of evidential variables. Using the Kullback-Leibler divergence measure, we compare the output of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::243af16c4bafe7f2aa9bb500a41634f6
https://doi.org/10.1016/j.ins.2012.08.004
https://doi.org/10.1016/j.ins.2012.08.004
Publikováno v:
Expert Systems with Applications. 38:12409-12414
In this work, we evaluate the sensitivity of Gaussian Bayesian networks to perturbations or uncertainties in the regression coefficients of the network arcs and the conditional distributions of the variables. The Kullback-Leibler divergence measure i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fccf36229f9f51a15587d90cb27eb0d9
https://doi.org/10.1016/j.eswa.2011.04.020
https://doi.org/10.1016/j.eswa.2011.04.020
Autor:
Luisa Escalante, Blanca Novella, Blanca Reviriego, Carmen Suárez, Francisco Rodríguez-Salvanés, Rafael Gabriel, Margarita Alonso, Rosario Susi
Publikováno v:
Revista Española de Cardiología. 61:1140-1149
Introduccion y objetivos Estimar las tasas de incidencia y mortalidad por infarto de miocardio (IM) y enfermedad coronaria (EC) en la poblacion anciana de Madrid. Metodos En 1995 se establecio una cohorte de base poblacional formada por 1.297 individ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d92562cb6d3eadfaa070eac05615e8f
https://doi.org/10.1157/13127845
https://doi.org/10.1157/13127845
Publikováno v:
Journal of Multivariate Analysis. 99:1929-1940
To evaluate the impact of model inaccuracies over the network’s output, after the evidence propagation, in a Gaussian Bayesian network, a sensitivity measure is introduced. This sensitivity measure is the Kullback–Leibler divergence and yields di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f15484a0006106e643fdf58c7703d6c7
https://doi.org/10.1016/j.jmva.2008.02.027
https://doi.org/10.1016/j.jmva.2008.02.027
Autor:
Luisa Escalante, Blanca Novella, Carmen Suárez, Margarita Alonso, Blanca Reviriego, Rafael Gabriel, Rosario Susi, Francisco Rodríguez-Salvanés
Publikováno v:
Revista Española de Cardiología (English Edition). 61:1140-1149
Introduction and objectives. To determine the incidence of and mortality due to myocardial infarction and coronary heart disease in the elderly population of Madrid, Spain. Methods. The study involved a population-based cohort of 1297 individuals age
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d04dbf5c95b3355bdd9ab49de6f2cec9
https://doi.org/10.1016/s1885-5857(09)60028-1
https://doi.org/10.1016/s1885-5857(09)60028-1