Rafael Delalibera Rodrigues

• Ph.D. Candidate in Computer Science
• PhD Candidate at University of São Paulo

Uncertainties and discrepant results in identifying crucial areas for emotional facial expression recognition may stem from the eye tracking data analysis methods used. Many studies employ parameters of analysis that predominantly prioritize the examination of the foveal vision angle, ignoring the potential influences of simultaneous parafoveal and...

In this work, we present a network-based technique for chest X-ray image classification to help the diagnosis and prognosis of patients with COVID-19. From visual inspection, we perceive that healthy and COVID-19 chest radiographic images present different levels of geometric complexity. Therefore, we apply fractal dimension and quadtree as feature...

Outlier detection is a fundamental task for knowledge discovery in data mining, especially in the Big Data era. It aims to detect data items that deviate from the general pattern of a given data set. In this paper, we present a new outlier detection technique using tourist walks starting from each data sample and varying the memory size. Specifical...

Multilayer complex networks are suitable models to represent high-dimensional heterogeneous systems with special importance in big data era. Community structures in a multilayer network can be drastically changed in comparison to the set of isolated monolayer networks composited by the same sets of nodes due to the existence of interlayer connectio...