Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Patrícia Xufre"'
Publikováno v:
Neural Computing and Applications. 32:3459-3474
In biomedical research, generalized artificial neural networks (GANNs) have been proposed as an alternative to a multi-layer perceptron owing to their greater ability to generate more interpretable results. GANNs were inspired by statistical generali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cdd0eb4d189227f7bd0b1deecf6ca29
https://doi.org/10.1007/s00521-019-04189-7
https://doi.org/10.1007/s00521-019-04189-7
Publikováno v:
Neural Computing and Applications. 31:719-736
Artificial neural networks have been proposed in medical research as an alternative to some regression models such as the generalized linear models, being the multilayer perceptron (MLP) the most used architecture. However, inspired in the generalize
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9820408df97c15b30b2fe827f163851a
https://doi.org/10.1007/s00521-017-3105-6
https://doi.org/10.1007/s00521-017-3105-6
Publikováno v:
European Journal of Operational Research. 175:1400-1412
Investment strategies are usually based on forecasting models, and these are optimized with respect to past predictive performance. However, the main goal of most investors is the optimization of a risk-adjusted performance measure, such as the well-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7c6618d80f690f2a7304d81d3112ec6
https://doi.org/10.1016/j.ejor.2005.02.015
https://doi.org/10.1016/j.ejor.2005.02.015
Generalized Additive Neural Networks for mortality prediction using automated and Genetic Algorithms
Publikováno v:
SeGAH
Universidade Nova de Lisboa
Universidade Nova de Lisboa
The prediction of mortality has shown to be a challenge for hospital management. To help in this task, metrics were developed to predict the evolution of the disease severity. One of the most commonly used metric in Intensive Care Units (ICUs) is the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc4d1f6cf48bc0bde4fcf8b33fbc9d8d
https://doi.org/10.1109/segah.2013.6665306
https://doi.org/10.1109/segah.2013.6665306
Publikováno v:
Studies in Theoretical and Applied Statistics ISBN: 9783642349034
During the last two decades, evaluating severity of illness and predicting mortality of critical patients became a major concern of all professionals that work in intensive care units all over the world. Due to the binary nature of the response varia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::917cbb7c29347e317678453b08c1da31
https://doi.org/10.1007/978-3-642-34904-1_33
https://doi.org/10.1007/978-3-642-34904-1_33
Publikováno v:
CIFEr
The most common neurocomputational approaches to support trading decisions are based on price returns forecasting through supervised neural networks, followed by a decision (or prescriptive) model. Alternative approaches have been proposed, including
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::688b561b9419a5a8e7c862de1bbcc9e8
https://doi.org/10.1109/cifer.2011.5953558
https://doi.org/10.1109/cifer.2011.5953558
Akademický článek
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The aim of this paper is to achieve two goals. Firstly, build and apply a convolutional neural network to make predictions on historical data of the Vanguard Industrials ETF (VIS) in the form of Buy, Hold and Sell signals. Secondly, making comparison
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1437::bcf260494d6bad99579df4d3d874a635
https://hdl.handle.net/10362/153750
https://hdl.handle.net/10362/153750
Autor:
Gil, Nuno Ricardo de Araújo
Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence Considerando o ambiente atual de competitividade em quase todos os setores d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1437::fb187aa5a43c7f325e76ef819e9c751a
https://hdl.handle.net/10362/28325
https://hdl.handle.net/10362/28325
Autor:
Geraldes, Carlos José Brás
Publikováno v:
CIÊNCIAVITAE
RESUMO: A aplicação das redes neuronais artificiais tem vindo a aumentar em várias áreas de conhecimento, muito em parte devido à flexibilidade que caracteriza estes modelos, e que permite modelar não só dados provenientes de situações reais
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::fee0f22c6a3aaa9043367dcd4a6ff2ac
https://hdl.handle.net/10362/20114
https://hdl.handle.net/10362/20114