124 citations · 241 across the 7 of their papers we have counts for
7 papers
Visual Political Communication in a Polarized Society: A Longitudinal Study of Brazilian Presidential Elections on Instagram
Mathias-Felipe de-Lima-Santos, Isabella Gonçalves, Marcos G. Quiles +3
In today's digital age, images have emerged as powerful tools for politicians to engage with their voters on social media platforms. Visual content possesses a unique emotional app…
Fake news agenda in the era of COVID-19: Identifying trends through fact-checking content
Wilson Ceron, Mathias-Felipe de-Lima-Santos, Marcos G. Quiles
The rise of social media has ignited an unprecedented circulation of false information in our society. It is even more evident in times of crises, such as the COVID-19 pandemic. Fa…
Dynamic Community Detection into Analyzing of Wildfires Events
Alessandra Marli, Didier A Vega-Oliveros, Moshé Cotacallapa +3
The study and comprehension of complex systems are crucial intellectual and scientific challenges of the 21st century. In this scenario, network science has emerged as a mathematic…
Spatiotemporal data analysis with chronological networks
Leonardo N. Ferreira, Didier A. Vega-Oliveros, Moshe Cotacallapa +4
The amount and size of spatiotemporal data sets from different domains have been rapidly increasing in the last years, which demands the development of robust and fast methods to a…
Chaotic Phase Synchronization and Desynchronization in an Oscillator Network for Object Selection
Fabricio A Breve, Marcos G Quiles, Liang Zhao +1
Object selection refers to the mechanism of extracting objects of interest while ignoring other objects and background in a given visual scene. It is a fundamental issue for many c…
Particle Competition and Cooperation for Semi-Supervised Learning with Label Noise
Fabricio Aparecido Breve, Liang Zhao, Marcos Gonçalves Quiles
Semi-supervised learning methods are usually employed in the classification of data sets where only a small subset of the data items is labeled. In these scenarios, label noise is…
From spatio-temporal data to chronological networks: An application to wildfire analysis
Didier A. Vega-Oliveros, Moshé Cotacallapa, Leonardo N. Ferreira +4
Network theory has established itself as an appropriate tool for complex systems analysis and pattern recognition. In the context of spatiotemporal data analysis, correlation netwo…