69 citations · 318 across the 21 of their papers we have counts for
8 papers · 1 filter
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…
Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples
David Macêdo, Tsang Ing Ren, Cleber Zanchettin +2
In this paper, we argue that the unsatisfactory out-of-distribution (OOD) detection performance of neural networks is mainly due to the SoftMax loss anisotropy and propensity to pr…
A Fast Fully Octave Convolutional Neural Network for Document Image Segmentation
Ricardo Batista das Neves Junior, Luiz Felipe Verçosa, David Macêdo +2
The Know Your Customer (KYC) and Anti Money Laundering (AML) are worldwide practices to online customer identification based on personal identification documents, similarity and li…
Distantly-Supervised Neural Relation Extraction with Side Information using BERT
Johny Moreira, Chaina Oliveira, David Macêdo +2
Relation extraction (RE) consists in categorizing the relationship between entities in a sentence. A recent paradigm to develop relation extractors is Distant Supervision (DS), whi…
AM-MobileNet1D: A Portable Model for Speaker Recognition
João Antônio Chagas Nunes, David Macêdo, Cleber Zanchettin
Speaker Recognition and Speaker Identification are challenging tasks with essential applications such as automation, authentication, and security. Deep learning approaches like Sin…
Squeezed Deep 6DoF Object Detection Using Knowledge Distillation
Heitor Felix, Walber M. Rodrigues, David Macêdo +4
The detection of objects considering a 6DoF pose is a common requirement to build virtual and augmented reality applications. It is usually a complex task which requires real-time…