Artificial intelligence (AI) is redefining how we exist in the world. In almost every sector of
society, AI is performing tasks with super-human speed and intellect; from the prediction of …

This paper presents a comprehensive overview of modelling, simulation and implementation
of neural networks, taking into account that two aims have emerged in this area: the …

Advancements in medical technology have created numerous large datasets including
many features. Usually, all captured features are not necessary, and there are redundant …

Abstract The Dragonfly Algorithm (DA) is a recently proposed heuristic search algorithm that
was shown to have excellent performance for numerous optimization problems. In this …

Shotgun metagenomic analysis of the human associated microbiome provides a rich set of
microbial features for prediction and biomarker discovery in the context of human diseases …

Financial credit scoring is one of the most crucial processes in the finance industry sector to
be able to assess the credit-worthiness of individuals and enterprises. Various statistics …

Deep learning emerges as a powerful tool for analyzing medical images. Retinal disease
detection by using computer-aided diagnosis from fundus image has emerged as a new …

In this study, we investigated the effect of five feature selection approaches on the
performance of a mixed model (G-BLUP) and a Bayesian (Bayes C) prediction method. We …

Feature selection is of considerable importance in data mining and machine learning,
especially for high dimensional data. In this paper, we propose a novel nearest neighbor …

Feature selection techniques have become an apparent need in many bioinformatics
applications. In addition to the large pool of techniques that have already been developed in …