Vigência: 2022-02-21 (em andamento) 1. INFORMAÇÕES GERAIS 2. RESUMO DO PROJETO Grafos modelam problemas do mundo real com uma estrutura natural que potencializa a resolução de tarefas que resolvem esses problemas, uma vez que os grafos modelam explicitamente relações entre as entidades do problema. Nos diferentes problemas de classificação modelados por…
Text Representation through Multimodal Variational Autoencoder for One-Class Learning
1. INFORMAÇÕES GERAIS 2. PRÊMIOS DO PROJETO 3. RESUMO DO PROJETO O One-Class Learning (OCL) é um tipo de aprendizado de máquina em que o usuário rotula somente textos da classe de interesse, o que torna esse método mais viável em aplicações de classificação automática de textos enquanto diminui o esforço de…
MApp-IDEA: Monitoring App for Issue Detection and Prioritization
The paper awarded at SBES is entitled “MApp-IDEA: Monitoring App for Issue Detection and Prioritization” and is authored by Prof. Dr. Vitor Mesaque (UFMS), Prof. Dr. Jacson Rodrigues Barbosa (INF/UFG) and Prof. Dr. Ricardo Marcacini. The paper describes the MApp-IDEA tool, which was published and presented at the Tools Track…
A Critical Survey of the Multilevel Method in Complex Networks
Multilevel optimization aims at reducing the cost of executing a target network-based algorithm by exploiting coarsened, i.e., reduced or simplified, versions of the network. There is a growing interest in multilevel algorithms in networked systems, mostly motivated by the urge for solutions capable of handling large-scale networks. Notwithstanding the success…
Learning to sense from events via semantic variational autoencoder
The work was accepted in PLoS One magazine and addresses two main topics: Event representation through a semantic variational autoencoder (SVAE)Detecting events of interest through One-Class Learning (OCL) The work proposes the SVAE method, a Variational Semantic Autoencoder that represents events. The method is formed by: (i) a context-dependent language…
Opinion mining for app reviews: an analysis of textual representation and predictive models
Popular mobile applications receive millions of user reviews. These reviews contain relevant information for software maintenance, such as bug reports and improvement suggestions. The review’s information is a valuable knowledge source for software requirements engineering since the apps review analysis helps make strategic decisions to improve the app quality. However,…