63 citations · 113 across the 5 of their papers we have counts for
5 papers
COVID-VR: A Deep Learning COVID-19 Classification Model Using Volume-Rendered Computer Tomography
Noemi Maritza L. Romero, Ricco Vasconcellos, Mariana R. Mendoza +1
The COVID-19 pandemic presented numerous challenges to healthcare systems worldwide. Given that lung infections are prevalent among COVID-19 patients, chest Computer Tomography (CT…
Acoustic Identification of Ae. aegypti Mosquitoes using Smartphone Apps and Residual Convolutional Neural Networks
Kayuã Oleques Paim, Ricardo Rohweder, Mariana Recamonde-Mendoza +2
In this paper, we advocate in favor of smartphone apps as low-cost, easy-to-deploy solution for raising awareness among the population on the proliferation of Aedes aegypti mosquit…
Machine learning methods for prediction of cancer driver genes: a survey paper
Renan Andrades, Mariana Recamonde-Mendoza
Identifying the genes and mutations that drive the emergence of tumors is a major step to improve understanding of cancer and identify new directions for disease diagnosis and trea…
A Hybrid Ensemble Feature Selection Design for Candidate Biomarkers Discovery from Transcriptome Profiles
Felipe Colombelli, Thayne Woycinck Kowalski, Mariana Recamonde-Mendoza
The discovery of disease biomarkers from gene expression data has been greatly advanced by feature selection (FS) methods, especially using ensemble FS (EFS) strategies with pertur…
Detecting Aedes Aegypti Mosquitoes through Audio Classification with Convolutional Neural Networks
Marcelo Schreiber Fernandes, Weverton Cordeiro, Mariana Recamonde-Mendoza
The incidence of mosquito-borne diseases is significant in under-developed regions, mostly due to the lack of resources to implement aggressive control measurements against mosquit…