63 citations
3 papers
cs.SD2023★ 6 cited
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…
cs.LG2021★ 42 cited
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…
cs.SD2020★ 63 cited
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…