Despite the advances in machine learning techniques, similarity assessment among
multimedia data remains a challenging task of broad interest in computer science …

Image classification is a critical topic due to its wide application and several challenges
associated. Despite the huge progress made last decades, there is still a demand for context …

Purpose This review article is focused on the following research questions: RQ1: What are
the methods used by authors to collect data in order to evaluate one's profile? RQ2: What …

Although studied for decades, constructing effective image retrieval remains an open
problem in a wide range of relevant applications. Impressive advances have been made to …

Due to a huge volume of information in many domains, the need for classification methods is
imperious. In spite of many advances, most of the approaches require a large amount of …

In spite of the huge advances in supervised learning, the common requirement for extensive
labeled datasets represents a severe bottleneck. In this scenario, other learning paradigms …

Impressive advances in acquisition and sharing technologies have made the growth of
multimedia collections and their applications almost unlimited. However, the opposite is true …

Over the last decade, significant advances have been achieved by machine learning
approaches, notably in supervised learning scenarios. Supported by the advent of deep …

The relevance of diversified data preprocessing approaches for improving clustering tasks is
remarkable. Once the effectiveness is direct impacted by feature representation and …

Several approaches based on regression have been developed in the past few years with
the goal of improving prediction results, including the use of ranking strategies. Re-ranking …