Feature selection is a critical and prominent task in machine learning. To reduce the
dimension of the feature set while maintaining the accuracy of the performance is the main …

Selecting relevant feature subsets is vital in machine learning, and multiclass feature
selection is harder to perform since most classifications are binary. The feature selection …

Abstract Novel coronavirus disease (nCOVID-19) is the most challenging problem for the
world. The disease is caused by severe acute respiratory syndrome coronavirus-2 (SARS …

Plant disease, especially crop plants, is a major threat to global food security since many
diseases directly affect the quality of the fruits, grains, and so on, leading to a decrease in …

For data mining tasks on high-dimensional data, feature selection is a necessary pre-
processing stage that plays an important role in removing redundant or irrelevant features …

Feature selection has gained much consideration from scholars working in the domain of
machine learning and data mining in recent years. Feature selection is a popular problem in …

COVID-19 is a disease that causes symptoms in the lungs and causes deaths around the
world. Studies are ongoing for the diagnosis and treatment of this disease, which is defined …

Text classification is one of the challenging computational tasks in machine learning
community due to the increased amounts of natural language text documents available in …

Feature selection is imperative in machine learning and data mining when we have high-
dimensional datasets with redundant, nosy and irrelevant features. The area of feature …

Feature selection aims at finding the minimum number of features that result in high
classification accuracy. Accordingly, the feature selection is considered as a multi-objective …