54 citations · 229 across the 22 of their papers we have counts for
25 papers
Generating music with sentiment using Transformer-GANs
Pedro Neves, Jose Fornari, João Florindo
The field of Automatic Music Generation has seen significant progress thanks to the advent of Deep Learning. However, most of these results have been produced by unconditional mode…
Multilayer deep feature extraction for visual texture recognition
Lucas O. Lyra, Antonio Elias Fabris, Joao B. Florindo
Convolutional neural networks have shown successful results in image classification achieving real-time results superior to the human level. However, texture images still pose some…
Fractal measures of image local features: an application to texture recognition
Pedro M. Silva, Joao B. Florindo
Here we propose a new method for the classification of texture images combining fractal measures (fractal dimension, multifractal spectrum and lacunarity) with local binary pattern…
VisGraphNet: a complex network interpretation of convolutional neural features
Joao B. Florindo, Young-Sup Lee, Kyungkoo Jun +2
Here we propose and investigate the use of visibility graphs to model the feature map of a neural network. The model, initially devised for studies on complex networks, is employed…
An application of a pseudo-parabolic modeling to texture image recognition
Joao B. Florindo, Eduardo Abreu
In this work, we present a novel methodology for texture image recognition using a partial differential equation modeling. More specifically, we employ the pseudo-parabolic Buckley…
A study on a feedforward neural network to solve partial differential equations in hyperbolic-transport problems
Eduardo Abreu, Joao B. Florindo
In this work we present an application of modern deep learning methodologies to the numerical solution of partial differential equations in transport models. More specifically, we…