241 citations · 997 across the 26 of their papers we have counts for
28 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…
Making a Pipeline Production-Ready: Challenges and Lessons Learned in the Healthcare Domain
Daniel Angelo Esteves Lawand, Lucas Quaresma Medina Lam, Roberto Oliveira Bolgheroni +3
Deploying a Machine Learning (ML) training pipeline into production requires good software engineering practices. Unfortunately, the typical data science workflow often leads to co…
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…
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…
Energy spectra of KASCADE-Grande based on shower size measurements and different hadronic interaction models
D. Kang, W. D. Apel, J. C. Arteaga-Velazquez +54
KASCADE-Grande is dedicated for investigations of cosmic-ray air showers in the primary energy range from 10 PeV to 1 EeV. The multi-detector system allows us to reconstruct charge…
KASCADE-Grande measurements of energy spectra for elemental groups of cosmic rays
D. Fuhrmann, W. D. Apel, J. C. Arteaga-Velazquez +54
The KASCADE-Grande experiment, located at KIT-Karlsruhe, Germany, consists of a large scintillator array for measurements of charged particles, N_ch, and of an array of shielded sc…
High-energy cosmic rays measured with KASCADE-Grande
A. Haungs, W. D. Apel, J. C. Arteaga-Velazquez +54
The detection of high-energy cosmic rays above a few hundred TeV is realized by the observation of extensive air-showers. By using the multi-detector setup of KASCADE-Grande, energ…
Mass sensitivity in the radio lateral distribution function
W. D. Apel, J. C. Arteaga, L. Bähren +56
Measuring the mass composition of ultra-high energy cosmic rays is one of the main tasks in the cosmic rays field. Here we are exploring the composition signature in the coherent e…
KASCADE-Grande measurements of energy spectra for elemental groups of cosmic rays
Grande Collaboration, W. D. Apel, J. C. Arteaga-Velàzquez +55
The KASCADE-Grande air shower experiment [W. Apel, et al. (KASCADE-Grande collaboration), Nucl. Instrum. Methods A 620 (2010) 202] consists of, among others, a large scintillator a…
The spectrum of high-energy cosmic rays measured with KASCADE-Grande
Grande Collaboration, W. D. Apel, J. C. Arteaga-Velazquez +58
The energy spectrum of cosmic rays between 10**16 eV and 10**18 eV, derived from measurements of the shower size (total number of charged particles) and the total muon number of ex…
Experimental evidence for the sensitivity of the air-shower radio signal to the longitudinal shower development
W. D. Apel, J. C. Arteaga, L. Bähren +56
We observe a correlation between the slope of radio lateral distributions, and the mean muon pseudorapidity of 59 individual cosmic-ray-air-shower events. The radio lateral distrib…
KASCADE-Grande - Contributions to the 32nd International Cosmic Ray Conference, Beijing, August, 2011
W. D. Apel, J. C. Arteaga-Velazquez, K. Bekk +57
Contributions of the KASCADE-Grande Collaboration to the 32nd International Cosmic Ray Conference, Beijing, August, 2011.
Kneelike structure in the spectrum of the heavy component of cosmic rays observed with KASCADE-Grande
Grande Collaboration, W. D. Apel, J. C. Arteaga-Velazquez +58
We report the observation of a steepening in the cosmic ray energy spectrum of heavy primary particles at about eV. This structure is also seen in the all-partic…
Sensitivity of KASCADE-Grande data to hadronic interaction models
D. Kang, W. D. Apel, J. C. Arteaga-Velázquez +58
KASCADE-Grande is a large detector array dedicated for studies of high-energy cosmic rays in the primary energy range from 100 TeV to 1 EeV. The multi-detector concept of the exper…
The KASCADE-Grande experiment: measurements of the all-particle energy spectrum of cosmic rays
J. C. Arteaga-Velázquez, W. D. Apel, K. Bekk +57
The all-particle energy spectrum as measured by the KASCADE-Grande experiment for E = 10^{16} - 10^{18} eV is presented within the framework of the QGSJET II/FLUKA hadronic interac…
On noise treatment in radio measurements of cosmic ray air showers
F. G. Schröder, W. D. Apel, J. C. Arteaga +58
Precise measurements of the radio emission by cosmic ray air showers require an adequate treatment of noise. Unlike to usual experiments in particle physics, where noise always add…
The LOPES experiment - recent results, status and perspectives
Tim Huege
The LOPES experiment at the Karlsruhe Institute of Technology has been taking radio data in the frequency range from 40 to 80 MHz in coincidence with the KASCADE-Grande air shower…
Measurement of Radio Emission from Extensive Air Showers with LOPES
J. R. Hoerandel
A new method is explored to detect extensive air showers: the measurement of radio waves emitted during the propagation of the electromagnetic shower component in the magnetic fiel…
Investigation of the Properties of Galactic Cosmic Rays with the KASCADE-Grande Experiment
J. R. Hoerandel
The properties of galactic cosmic rays are investigated with the KASCADE-Grande experiment in the energy range between and eV. Recent results are discussed. The…