2 citations · 3 across the 4 of their papers we have counts for
16 papers
ASL-Skeleton3D and ASL-Phono: Two Novel Datasets for the American Sign Language
Cleison Correia de Amorim, Cleber Zanchettin
Sign language is an essential resource enabling access to communication and proper socioemotional development for individuals suffering from disabling hearing loss. As this populat…
On the Impact of Interpretability Methods in Active Image Augmentation Method
Flavio Santos, Cleber Zanchettin, Leonardo Matos +1
Robustness is a significant constraint in machine learning models. The performance of the algorithms must not deteriorate when training and testing with slightly different data. De…
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…
DQN-AF: Deep Q-Network based Adaptive Forwarding Strategy for Named Data Networking
Ygor Amaral B. L. de Sena, Kelvin Lopes Dias, Cleber Zanchettin
NDN has gained significant attention due to the appearance of several unforeseen design flaws that became evident with new communication scenarios. Among its many features, the two…
KutralNet: A Portable Deep Learning Model for Fire Recognition
Angel Ayala, Bruno Fernandes, Francisco Cruz +3
Most of the automatic fire alarm systems detect the fire presence through sensors like thermal, smoke, or flame. One of the new approaches to the problem is the use of images to pe…
Morphological Skip-Gram: Using morphological knowledge to improve word representation
Flávio Santos, Hendrik Macedo, Thiago Bispo +1
Natural language processing models have attracted much interest in the deep learning community. This branch of study is composed of some applications such as machine translation, s…