Pesquisadores do Labic ministram palestra na Embrapa sobre Inteligência artificial na pós-colheita de frutas de hortaliças

Como a Inteligência Artificial pode impactar a pós-colheita de frutas e hortaliças e contribuir para a diminuição das perdas e desperdício de alimentos? Essa é a pergunta central que motivou a Embrapa Instrumentação a organizar um painel com especialistas, no dia 23 de novembro, a partir das 8 horas, em…

Labic recebe a visita de estudantes da Liverpool Hope University

Em setembro de 2023, o Labic teve o prazer de receber a visita de estudantes da Liverpool Hope University, com a supervisão do prof. Dr. Alneu Lopes. Durante o período de estadia, os estudantes de mestrado Thomas Biddlecomb, Lewis Lannan e Kaloyan Tsnakov conduziram pesquisas na área de Inteligência Artificial.…

LABIC oferece curso gratuito sobre Graph Neural Network

No dia 25/11/2023, com apoio do ICMC e da USP, será oferecido um curso gratuito sobre Graph Neural Networks, também conhecidas como GNN ou redes neurais para grafos. O curso será ministrado pelo alunos de doutorado e tutores do MBA de IA e Big Data, Angelo Mendes (https://www.linkedin.com/in/angelo-mendes/) e Marcos…

Aluno de Doutorado do LABIC é convidado para ministrar minicurso sobre introdução a mineração de textos no ERAMIA 2023

O aluno Marcos Gôlo, estudante e pesquisador do LABIC foi convidado para para ministrar o minicurso sobre introdução a mineração de textos na III Escola Regional de Aprendizado de Máquina e Inteligência Artificial (ERAMIA) que ocorreu na capital do Pará, Belém. O evento contou com minicursos e palestras sobre Inteligência…

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…

LABIC researchers were awarded in the Dissertation Competition at the Brazilian Symposium on Multimedia and Web Systems (WebMedia 2023)

We are pleased to announce that researchers Marcos Gôlo and Paulo Viviurka were awarded first and third place, respectively, in the WebMedia 2023 master’s thesis competitions. This result demonstrates the quality of research developed at the Laboratory of Computational Intelligence (LABIC), as part of of his projects in the Postgraduate…

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,…