For the first time, the ensemble feature selection is modeled as a Multi-Criteria Decision-
Making (MCDM) process in this paper. For this purpose, we used the VIKOR method as a …

There are several breast cancer datasets for building Computer Aided Diagnosis systems
(CADs) using either deep learning or traditional models. However, most of these datasets …

In this paper, ensemble feature selection is modeled as a bi-objective optimization problem
regarding features' relevancy and redundancy degree. The proposed method, which is …

Identifying combustible gases is vital to ensure a livable environment and prevent hazards
affecting human safety. Most previous E-Nose studies aimed to either identify the gas or its …

Credit rating assessment is a complicated process in which many parameters describing a
company are taken into consideration and a grade is assigned, which represents the …

Background As the medical images contain both superficial and imperceptible patterns,
textures are successfully used as discriminant features for the detection of cancers, tumors …

With the current health crisis caused by the COVID-19 pandemic, patients have become
more anxious about infection, so they prefer not to have direct contact with doctors or …

Since trading has been transformed into online platforms, marketing strategies have
adapted to digital systems in order to enhance the Customer Relationship Management …

Ensemble feature selection methods are used to improve the robustness of feature selection
algorithms. These approaches are a combination of several feature selection methods to …

Feature selection becomes inevitable owing to a rapid increase in digital technology which
permits the generation of high dimensional data in a large quantity within a short time …