10 citations · 25 across the 12 of their papers we have counts for
12 papers
Fine-tuning Pre-trained Audio Models for COVID-19 Detection: A Technical Report
Daniel Oliveira de Brito, Letícia Gabriella de Souza, Marcelo Matheus Gauy +2
This technical report investigates the performance of pre-trained audio models on COVID-19 detection tasks using established benchmark datasets. We fine-tuned Audio-MAE and three P…
Voter Model Meets Rumour Spreading: an FPRAS for Consensus Probabilities on Voter Models with Agnostic Nodes
Marcelo Matheus Gauy, Anna Abramishvili, Eduardo Colli +5
Problems of consensus in multi-agent systems are often viewed as a series of independent, simultaneous local decisions made between a limited set of options, all aimed at reaching…
Contrasting Deep Learning Models for Direct Respiratory Insufficiency Detection Versus Blood Oxygen Saturation Estimation
Marcelo Matheus Gauy, Natalia Hitomi Koza, Ricardo Mikio Morita +7
We contrast high effectiveness of state of the art deep learning architectures designed for general audio classification tasks, refined for respiratory insufficiency (RI) detection…
Discriminant audio properties in deep learning based respiratory insufficiency detection in Brazilian Portuguese
Marcelo Matheus Gauy, Larissa Cristina Berti, Arnaldo Cândido +9
This work investigates Artificial Intelligence (AI) systems that detect respiratory insufficiency (RI) by analyzing speech audios, thus treating speech as a RI biomarker. Previous…
Acoustic models of Brazilian Portuguese Speech based on Neural Transformers
Marcelo Matheus Gauy, Marcelo Finger
An acoustic model, trained on a significant amount of unlabeled data, consists of a self-supervised learned speech representation useful for solving downstream tasks, perhaps after…
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…
The Influence of Memory in Multi-Agent Consensus
David Kohan Marzagão, Luciana Basualdo Bonatto, Tiago Madeira +2
Multi-agent consensus problems can often be seen as a sequence of autonomous and independent local choices between a finite set of decision options, with each local choice undertak…
Improving Gradient Estimation in Evolutionary Strategies With Past Descent Directions
Florian Meier, Asier Mujika, Marcelo Matheus Gauy +1
Evolutionary Strategies (ES) are known to be an effective black-box optimization technique for deep neural networks when the true gradients cannot be computed, such as in Reinforce…
Optimal Kronecker-Sum Approximation of Real Time Recurrent Learning
Frederik Benzing, Marcelo Matheus Gauy, Asier Mujika +2
One of the central goals of Recurrent Neural Networks (RNNs) is to learn long-term dependencies in sequential data. Nevertheless, the most popular training method, Truncated Backpr…
The linear hidden subset problem for the (1+1) EA with scheduled and adaptive mutation rates
Hafsteinn Einarsson, Marcelo Matheus Gauy, Johannes Lengler +4
We study unbiased evolutionary algorithms on linear functions with an unknown number of bits with non-zero weight. Static algorithms achieve an optimal runtime of $O(n…
Erdős-Ko-Rado for random hypergraphs: asymptotics and stability
Marcelo M. Gauy, Hiêp Hàn, Igor C. Oliveira
We investigate the asymptotic version of the Erdős-Ko-Rado theorem for the random -uniform hypergraph . For , let and $D…