General purpose computation using Graphic Processing Units (GPUs) is a well‐established
research area focusing on high‐performance computing solutions for massively …

Multi-label classification is one of the most dynamically growing fields of machine learning,
due to its numerous real-life applications in solving problems that can be described by …

Disability in speech concerns many other communication problems such as hearing, and
fluency. Stuttering is a neurodevelopmental disorder identified by the existence of …

The k nearest neighbors (kNN) is an algorithm for finding the closest k points in metric
spaces. Due to its high computational costs, many parallel solutions have been proposed …

The K Nearest Neighbor (KNN) method is one of the most used machine-learning algorithms
due to its simplicity. However, as the dataset grows, the running speed of the KNN algorithm …

Abstract Amorim, Leonardo Afonso. Exploiting Parallelism in Document Similarity Tasks with
Application. Goiânia, Brazil, 2019. 107p. PhD. Thesis. Instituto de Informática, Universidade …

Neste trabalho propomos e avaliamos uma abstração genérica para a troca de dados direta
e transparente em aplicações filtro-fluxo executadas em cluster (computadores interligados) …

The massive data generation has been pushing for significant advances in computing
architectures, reflecting in heterogeneous architectures composed by different types of …