One of the crucial processes in machine learning algorithms to improve the performance as
well as, in some cases, to reduce the computational cost is feature selection. In other words …

Background and Objectives: Text summarization plays an essential role in reducing time
and cost in many domains such as medicine, engineering, etc. On the other hand, manual …

Plagiarism is one of the leading problems in academic and industrial environments, which
its goal is to find the similar items in a typical document or source code. This paper proposes …

One of the effective missions of biology and medical science is to find disease-related
genes. Recent research uses gene/protein networks to find such genes. Due to false …

The amount of data is growing sharply on the Internet. Some data like log files are enormous
and entail valuable and precious hidden patterns. In other words, a log file is a set of …

The detection of protein complexes is an essential NP-hard problem in protein-protein
interaction networks (PPI). Modularity, community score, ratio cut, and internal density are …

These days, one of the needed methods in machine learning is feature selection. In other
words, in this manner, the most fitting features are picked. Nevertheless, there are various …

One of the crucial stages in machine learning in high-dimensional datasets is feature
selection. Unrelated features weaknesses the efficiency of the model. However, merging …