Generalized additive models from a neural network perspective

DA de Waal, JV du Toit - Seventh IEEE International …, 2007 - ieeexplore.ieee.org
Recently, an interactive algorithm was proposed for the construction of generalized additive
neural networks. Although the proposed method is sound, it has two drawbacks. It is …

Automation of generalized additive neural networks for predictive data mining

DA De Waal, JV Du Toit - Applied Artificial Intelligence, 2011 - Taylor & Francis
For a new technology to make the step from experimental technology to mainstream
technology, tools need to be created to facilitate the use of the developed technology in the …

Generalized additive neural network with flexible parametric link function: model estimation using simulated and real clinical data

C Brás-Geraldes, A Papoila, P Xufre - Neural Computing and Applications, 2019 - Springer
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 …

Odds ratio function estimation using a generalized additive neural network

C Brás-Geraldes, A Papoila, P Xufre - Neural Computing and Applications, 2020 - Springer
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 …

Filtering spam e-mail with generalized additive neural networks

T du Toit, H Kruger - 2012 Information Security for South Africa, 2012 - ieeexplore.ieee.org
Some of the major security risks associated with spam e-mail are the spreading of computer
viruses and the facilitation of phishing exercises. Spam is therefore regarded as one of the …

[PDF][PDF] An investigation into the use of generalized additive neural networks in credit scoring

DA De Waal, JV Du Toit, T De La Rey - Proceedings of IX Credit Scoring & …, 2005 - Citeseer
Logistic regression occupies a central position in the field of credit scoring as it is relatively
well understood and an explicit formula can be derived on which credit decisions may be …

Generalized additive neural networks for mortality prediction using automated and genetic algorithms

C Bras-Geraldes, A Papoila, P Xufre… - 2013 IEEE 2nd …, 2013 - ieeexplore.ieee.org
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 …

[PDF][PDF] Aplicação das Redes Neuronais Aditivas Generalizadas à Medicina

CJB Geraldes - 2016 - run.unl.pt
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 …

HTPCP: GNSS-R multi-channel cross-correlation waveforms post-processing solution for GOLD-RTR Instrument

G Yi, D Atienza, A Rius, S Ribó… - 2010 NASA/ESA …, 2010 - ieeexplore.ieee.org
Global navigation satellite system reflectometry (GNSS-R) remote sensing is a new remote
sensing technique of satellite navigation application. Essentially, it entails a method of …

Estimating Those Transformations That Produce the Best-fitting Additive Model: Smoothers Versus Universal Approximators

DA de Waal, SES Campher… - International Journal of …, 2012 - cspub-ijcisim.org
When estimating a generalized additive model, a crucial decision that must be made is the
choice of underlying technique that will be used to estimate those transformations that …