Zobrazeno 1 - 10
of 141
pro vyhledávání: '"Meira Jr, Wagner"'
Autor:
Locatelli, Marcelo Sartori, Miranda, Matheus Prado, Costa, Igor Joaquim da Silva, Prates, Matheus Torres, Thomé, Victor, Monteiro, Mateus Zaparoli, Lacerda, Tomas, Pagano, Adriana, Neto, Eduardo Rios, Meira Jr., Wagner, Almeida, Virgilio
The Exame Nacional do Ensino M\'edio (ENEM) is a pivotal test for Brazilian students, required for admission to a significant number of universities in Brazil. The test consists of four objective high-school level tests on Math, Humanities, Natural S
Externí odkaz:
http://arxiv.org/abs/2408.05035
Autor:
Locatelli, Marcelo Sartori, Calais, Pedro, Miranda, Matheus Prado, Junho, João Pedro, Muniz, Tomas Lacerda, Meira Jr., Wagner, Almeida, Virgilio
Publikováno v:
Topic Shifts as a Proxy for Assessing Politicization in Social Media. In: Proceedings of the International AAAI Conference on Web and Social Media. 2024. p. 972-984
Politicization is a social phenomenon studied by political science characterized by the extent to which ideas and facts are given a political tone. A range of topics, such as climate change, religion and vaccines has been subject to increasing politi
Externí odkaz:
http://arxiv.org/abs/2312.11326
Graph Pattern Mining (GPM) is an important, rapidly evolving, and computation demanding area. GPM computation relies on subgraph enumeration, which consists in extracting subgraphs that match a given property from an input graph. Graphics Processing
Externí odkaz:
http://arxiv.org/abs/2212.04551
Publikováno v:
Proceedings of the 33rd ACM Conference on Hypertext and Social Media. 2022. p. 80-90
In the context of COVID-19 pandemic, social networks such as Twitter and YouTube stand out as important sources of information. YouTube, as the largest and most engaging online media consumption platform, has a large influence in the spread of inform
Externí odkaz:
http://arxiv.org/abs/2208.01509
In 2020, amidst the COVID pandemic and a polarized political climate, the Sleeping Giants online activist movement gained traction in Brazil. Its rationale was simple: to curb the spread of misinformation by harming the advertising revenue of sources
Externí odkaz:
http://arxiv.org/abs/2105.07523
This work considers the general task of estimating the sum of a bounded function over the edges of a graph, given neighborhood query access and where access to the entire network is prohibitively expensive. To estimate this sum, prior work proposes M
Externí odkaz:
http://arxiv.org/abs/2012.03879
Autor:
Ribeiro, Antônio H., Ribeiro, Manoel Horta, Paixão, Gabriela M. M., Oliveira, Derick M., Gomes, Paulo R., Canazart, Jéssica A., Ferreira, Milton P. S., Andersson, Carl R., Macfarlane, Peter W., Meira Jr., Wagner, Schön, Thomas B., Ribeiro, Antonio Luiz P.
Publikováno v:
Nature Communications 11, article number: 1760 (2020)
The role of automatic electrocardiogram (ECG) analysis in clinical practice is limited by the accuracy of existing models. Deep Neural Networks (DNNs) are models composed of stacked transformations that learn tasks by examples. This technology has re
Externí odkaz:
http://arxiv.org/abs/1904.01949
Akademický článek
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Autor:
Ribeiro, Antônio H., Ribeiro, Manoel Horta, Paixão, Gabriela, Oliveira, Derick, Gomes, Paulo R., Canazart, Jéssica A., Pifano, Milton, Meira Jr., Wagner, Schön, Thomas B., Ribeiro, Antonio Luiz
We present a model for predicting electrocardiogram (ECG) abnormalities in short-duration 12-lead ECG signals which outperformed medical doctors on the 4th year of their cardiology residency. Such exams can provide a full evaluation of heart activity
Externí odkaz:
http://arxiv.org/abs/1811.12194
In this work we propose R-GPM, a parallel computing framework for graph pattern mining (GPM) through a user-defined subgraph relation. More specifically, we enable the computation of statistics of patterns through their subgraph classes, generalizing
Externí odkaz:
http://arxiv.org/abs/1809.05241