4 citations · 5 across the 4 of their papers we have counts for
4 papers
Interpretability Analysis of Deep Models for COVID-19 Detection
Daniel Peixoto Pinto da Silva, Edresson Casanova, Lucas Rafael Stefanel Gris +8
During the outbreak of COVID-19 pandemic, several research areas joined efforts to mitigate the damages caused by SARS-CoV-2. In this paper we present an interpretability analysis…
Pretrained audio neural networks for Speech emotion recognition in Portuguese
Marcelo Matheus Gauy, Marcelo Finger
The goal of speech emotion recognition (SER) is to identify the emotional aspects of speech. The SER challenge for Brazilian Portuguese speech was proposed with short snippets of P…
Audio MFCC-gram Transformers for respiratory insufficiency detection in COVID-19
Marcelo Matheus Gauy, Marcelo Finger
This work explores speech as a biomarker and investigates the detection of respiratory insufficiency (RI) by analyzing speech samples. Previous work \cite{spira2021} constructed a…
Combined Learning of Neural Network Weights for Privacy in Collaborative Tasks
Aline R. Ioste, Alan M. Durham, Marcelo Finger
We introduce CoLN, Combined Learning of Neural network weights, a novel method to securely combine Machine Learning models over sensitive data with no sharing of data. With CoLN, l…