Machine learning is an area of Artificial Intelligence that can predict results from a large set of data. Therefore, many areas are already benefiting from this new technology, such as credit analysis companies that use ...

Protein subcellular localization is a really important classification task, because the location of proteins inside a cell is directly related to these protein’s functions. As there are a lot of proteins that reside at the ...

Proteins are macro-molecules responsible for virtually every task necessary for the maintenance of cells, having a fundamental role in the behavior and regulation of organisms. Advances in the area of Molecular Biology ...

Multi-label classification is a machine learning task where instances can be classified into two or more labels simultaneously. In this task, there exist correlations between the instances belonging to same or similar sets ...

Single Nucleotide Polymorphisms (SNPs) are single-base variations in the nucleotide sequence of different individuals or between homologous sequences within a living being. A large part of genetic variations occur as SNPs. ...

This project aims to study the foundations of nonlinear dimensionality reduction through manifold learning with the algorithm known as Isometric Feature Mapping (ISOMAP) and observe the application of the algorithm in ...

The act of representing a dataset in a way that’s more compact and significant is denominated dimensionality reduction. The capacity of building adaptive distance functions to each dataset before classification is known ...

Due to the shear amount of data produced daily in text format, being it publicly on social media or privately inside enterprises, there is a growing need to analyze and extract information from them. The objective is to ...

Due to the large amount of data produced daily in text format, whether publicly on social networks or privately within companies, there is a need to analyze and extract information from them. The goal is to turn them into ...

Clustering is one of the most notorious Machine Learning techniques and has an infinite number of practical applications in different areas of knowledge. Understanding the types of approaches and their characteristics is ...