-
On the Impact of Interpretability Methods in Active Image Augmentation Method
Robustness is a significant constraint in machine learning models. The p...
02/24/2021 ∙ by Flávio Santos, et al. ∙
4
∙
share
read it
-
Training Aware Sigmoidal Optimizer
Proper optimization of deep neural networks is an open research question...
02/17/2021 ∙ by David Macêdo, et al. ∙
12
∙
share
read it
-
DQN-AF: Deep Q-Network based Adaptive Forwarding Strategy for Named Data Networking
NDN has gained significant attention due to the appearance of several un...
10/19/2020 ∙ by Ygor Amaral B. L. de Sena, et al. ∙
0
∙
share
read it
-
KutralNet: A Portable Deep Learning Model for Fire Recognition
Most of the automatic fire alarm systems detect the fire presence throug...
08/16/2020 ∙ by Angel Ayala, et al. ∙
0
∙
share
read it
-
Morphological Skip-Gram: Using morphological knowledge to improve word representation
Natural language processing models have attracted much interest in the d...
07/20/2020 ∙ by Flávio Santos, et al. ∙
0
∙
share
read it
-
Distantly-Supervised Neural Relation Extraction with Side Information using BERT
Relation extraction (RE) consists in categorizing the relationship betwe...
04/29/2020 ∙ by Johny Moreira, et al. ∙
0
∙
share
read it
-
A Fast Fully Octave Convolutional Neural Network for Document Image Segmentation
The Know Your Customer (KYC) and Anti Money Laundering (AML) are worldwi...
04/03/2020 ∙ by Ricardo Batista das Neves Junior, et al. ∙
0
∙
share
read it
-
AM-MobileNet1D: A Portable Model for Speaker Recognition
Speaker Recognition and Speaker Identification are challenging tasks wit...
03/31/2020 ∙ by João Antônio Chagas Nunes, et al. ∙
0
∙
share
read it
-
Squeezed Deep 6DoF Object Detection Using Knowledge Distillation
The detection of objects considering a 6DoF pose is common requisite to ...
03/30/2020 ∙ by Heitor Felix, et al. ∙
0
∙
share
read it
-
Improving Deep Image Clustering With Spatial Transformer Layers
Image clustering is an important but challenging task in machine learnin...
02/09/2019 ∙ by Thiago V. M. Souza, et al. ∙
0
∙
share
read it
-
Spatial-Temporal Graph Convolutional Networks for Sign Language Recognition
The recognition of sign language is a challenging task with an important...
01/31/2019 ∙ by Cleison Correia de Amorim, et al. ∙
0
∙
share
read it
-
Heartbeat Anomaly Detection using Adversarial Oversampling
Cardiovascular diseases are one of the most common causes of death in th...
01/28/2019 ∙ by Jefferson L. P. Lima, et al. ∙
0
∙
share
read it
-
Squeezed Very Deep Convolutional Neural Networks for Text Classification
Most of the research in convolutional neural networks has focused on inc...
01/28/2019 ∙ by Andréa B. Duque, et al. ∙
0
∙
share
read it
-
Additive Margin SincNet for Speaker Recognition
Speaker Recognition is a challenging task with essential applications su...
01/28/2019 ∙ by João Antônio Chagas Nunes, et al. ∙
1
∙
share
read it
-
Hierarchical Attentional Hybrid Neural Networks for Document Classification
Document classification is a challenging task with important application...
01/20/2019 ∙ by Jader Abreu, et al. ∙
0
∙
share
read it
