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Found 6 papers, 2 papers with code
"A Nova Eletricidade: Aplicações, Riscos e Tendências da IA Moderna -- "The New Electricity": Applications, Risks, and Trends in Current AI
With no intent to exhaust the subject, we explore the AI applications that are redefining sectors of the economy, impacting society and humanity.
Acoustic Identification of Ae. aegypti Mosquitoes using Smartphone Apps and Residual Convolutional Neural Networks
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 mosquitoes.
Machine learning methods for prediction of cancer driver genes: a survey paper
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 treatment.
A Hybrid Ensemble Feature Selection Design for Candidate Biomarkers Discovery from Transcriptome Profiles
We investigated the adequacy of our approach for microarray data related to four types of cancer, carrying out an extensive comparison with other ensemble and single FS approaches.
Detecting Aedes Aegypti Mosquitoes through Audio Classification with Convolutional Neural Networks
Although the ensemble classifier achieved the lowest precision, thus impairing its F1-measure (79. 95% $\pm$ 2. 13), it was the most powerful classifier to detect Aedes aegypti in our dataset.
EPGAT: Gene Essentiality Prediction With Graph Attention Networks
The identification of essential genes/proteins is a critical step towards a better understanding of human biology and pathology.
