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.…
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…
Machine Learning for Time Series Obtained in mHealth Applications
Monitoring physiological signs, vital signs, and other parameters that can be collected over time from individuals are essential in several tasks in healthcare, such as heart rate estimation and the identification of abnormal heartbeats. However, these time series are obtained by very expensive and usually not portable equipment. On the…
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,…
IESystem – Information Extraction System
The IESystem extracts metadata from scientific articles, even when they are provided from different sources or written in different languages. The process of metadata extraction is based on models which describe relative content positions or content indicators to be extracted. A set of functionalities for pre-processing and assistance to the…