research
∙
08/18/2023
Predictive Authoring for Brazilian Portuguese Augmentative and Alternative Communication
Individuals with complex communication needs (CCN) often rely on augment...
share
research
∙
05/12/2022
Distinction Maximization Loss: Efficiently Improving Classification Accuracy, Uncertainty Estimation, and Out-of-Distribution Detection Simply Replacing the Loss and Calibratin
Building robust deterministic neural networks remains a challenge. On th...
research
∙
01/06/2022
ASL-Skeleton3D and ASL-Phono: Two Novel Datasets for the American Sign Language
Sign language is an essential resource enabling access to communication ...
research
∙
11/03/2021
Multi-Cue Adaptive Emotion Recognition Network
Expressing and identifying emotions through facial and physical expressi...
research
∙
02/24/2021
On the Impact of Interpretability Methods in Active Image Augmentation Method
Robustness is a significant constraint in machine learning models. The p...
research
∙
02/17/2021
Training Aware Sigmoidal Optimizer
Proper optimization of deep neural networks is an open research question...
research
∙
10/19/2020
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...
research
∙
08/16/2020
KutralNet: A Portable Deep Learning Model for Fire Recognition
Most of the automatic fire alarm systems detect the fire presence throug...
research
∙
07/20/2020
Morphological Skip-Gram: Using morphological knowledge to improve word representation
Natural language processing models have attracted much interest in the d...
research
∙
04/29/2020
Distantly-Supervised Neural Relation Extraction with Side Information using BERT
Relation extraction (RE) consists in categorizing the relationship betwe...
research
∙
04/03/2020
A Fast Fully Octave Convolutional Neural Network for Document Image Segmentation
The Know Your Customer (KYC) and Anti Money Laundering (AML) are worldwi...
research
∙
03/31/2020
AM-MobileNet1D: A Portable Model for Speaker Recognition
Speaker Recognition and Speaker Identification are challenging tasks wit...
research
∙
03/30/2020
Squeezed Deep 6DoF Object Detection Using Knowledge Distillation
The detection of objects considering a 6DoF pose is common requisite to ...
research
∙
02/09/2019
Improving Deep Image Clustering With Spatial Transformer Layers
Image clustering is an important but challenging task in machine learnin...
research
∙
01/31/2019
Spatial-Temporal Graph Convolutional Networks for Sign Language Recognition
The recognition of sign language is a challenging task with an important...
research
∙
01/28/2019
Heartbeat Anomaly Detection using Adversarial Oversampling
Cardiovascular diseases are one of the most common causes of death in th...
research
∙
01/28/2019
Squeezed Very Deep Convolutional Neural Networks for Text Classification
Most of the research in convolutional neural networks has focused on inc...
research
∙
01/28/2019
Additive Margin SincNet for Speaker Recognition
Speaker Recognition is a challenging task with essential applications su...
research
∙
01/20/2019
