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Training Aware Sigmoidal Optimizer
David Macêdo, Pedro Dreyer, Teresa Ludermir +1
Proper optimization of deep neural networks is an open research question since an optimal procedure to change the learning rate throughout training is still unknown. Manually defin…
Heartbeat Anomaly Detection using Adversarial Oversampling
Jefferson L. P. Lima, David Macêdo, Cleber Zanchettin
Cardiovascular diseases are one of the most common causes of death in the world. Prevention, knowledge of previous cases in the family, and early detection is the best strategy to…
Squeezed Very Deep Convolutional Neural Networks for Text Classification
Andréa B. Duque, Luã Lázaro J. Santos, David Macêdo +1
Most of the research in convolutional neural networks has focused on increasing network depth to improve accuracy, resulting in a massive number of parameters which restricts the t…
Spatial-Temporal Graph Convolutional Networks for Sign Language Recognition
Cleison Correia de Amorim, David Macêdo, Cleber Zanchettin
The recognition of sign language is a challenging task with an important role in society to facilitate the communication of deaf persons. We propose a new approach of Spatial-Tempo…