The Journal of the Brazilian Computer Society (JBCS) is a fully open access journal published under the brand SpringerOpen; an international journal which serves as a forum for disseminating innovative research in all fields of computer science and related subjects. Contents include theoretical, practical and experimental papers reporting original research contributions, as well as high quality survey papers. Coverage extends to all computer science topics, computer systems development and formal and theoretical aspects of computing, including computer architecture; high-performance computing; database management and information retrieval; computational biology; computer graphics; data visualization; image and video processing; VLSI design and software-hardware codesign; embedded systems; geoinformatics; artificial intelligence; games, entertainment and virtual reality; natural language processing and much more. The journal went open access in 2014, which means that all articles published since then are freely available online.
Journal of the Brazilian Computer Society
Description
Identifiers
ISSN | 0104-6500 |
e-ISSN | 1678-4804 |
DOI | 10.1007/13173.1678-4804 |
Publisher
Springer London
Additional information
Data set: Springer
Articles
Journal of the Brazilian Computer Society > 2019 > 25 > 1 > 1-12
In low-resource scenarios, for example, small datasets or a lack in computational resources available, state-of-the-art deep learning methods for speech recognition have been known to fail. It is possible to achieve more robust models if care is taken to ensure the learning guarantees provided by the statistical learning theory. This work presents a shallow and hybrid approach using a convolutional...
Journal of the Brazilian Computer Society > 2019 > 25 > 1 > 1-21
Context The technical debt (TD) concept inspires the development of useful methods and tools that support TD identification and management. However, there is a lack of evidence on how different TD identification tools could be complementary and, also, how human-based identification compares with them. Objective To understand how to effectively elicit TD from humans, to investigate several types...
Journal of the Brazilian Computer Society > 2019 > 25 > 1 > 1-18
The Marching Cubes algorithm is arguably the most popular isosurface extraction algorithm. Since its inception, two problems have lingered, namely, triangle quality and topology correctness. Although there is an extensive literature to solve them, topology correctness is achieved in detriment of triangle quality and vice versa. In this paper, we present an extended version of the Marching Cubes 33...