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PPSN
2004
Springer
14 years 2 months ago
Statistical Racing Techniques for Improved Empirical Evaluation of Evolutionary Algorithms
In empirical studies of Evolutionary Algorithms, it is usually desirable to evaluate and compare algorithms using as many different parameter settings and test problems as possible...
Bo Yuan, Marcus Gallagher
IJCNN
2007
IEEE
14 years 3 months ago
Limited receptive area neural classifier for recognition of swallowing sounds using short-time Fourier transform
— In this paper we propose a sound recognition technique based on the limited receptive area (LIRA) neural classifier and short-time Fourier transform (STFT). LIRA neural classif...
Oleksandr Makeyev, Edward Sazonov, Stephanie A. C....
BIOCOMP
2006
13 years 10 months ago
An Artificial Neural Network based Model to Analyze Malarial Data and Predict Organ Failure
Health Care Management is one of the most important and most important research areas of the new millennium. The main purpose of this work was to analyze the data on malaria patie...
Dinesh P. Mital, Shankar Srinivasan, Syed Haque, R...
BMCBI
2006
94views more  BMCBI 2006»
13 years 8 months ago
Noise-injected neural networks show promise for use on small-sample expression data
Background: Overfitting the data is a salient issue for classifier design in small-sample settings. This is why selecting a classifier from a constrained family of classifiers, on...
Jianping Hua, James Lowey, Zixiang Xiong, Edward R...
BMCBI
2010
149views more  BMCBI 2010»
13 years 8 months ago
A multifactorial analysis of obesity as CVD risk factor: Use of neural network based methods in a nutrigenetics context
Background: Obesity is a multifactorial trait, which comprises an independent risk factor for cardiovascular disease (CVD). The aim of the current work is to study the complex eti...
Ioannis K. Valavanis, Stavroula G. Mougiakakou, Ke...