David Macêdo
About
David Macêdo has authored 22 papers that have received a total of 175 indexed citations.
This includes 15 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 4 papers in Electrical and Electronic Engineering. The topics of these papers are Advanced Neural Network Applications (6 papers), Anomaly Detection Techniques and Applications (5 papers) and Adversarial Robustness in Machine Learning (4 papers). David Macêdo is often cited by papers focused on Advanced Neural Network Applications (6 papers), Anomaly Detection Techniques and Applications (5 papers) and Adversarial Robustness in Machine Learning (4 papers) and collaborates with scholars based in Brazil, Canada and United States. David Macêdo's co-authors include Cleber Zanchettin, Adriano L. I. Oliveira, Teresa B. Ludermir, Francisco Cruz and Tsang Ing Ren and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Neural Networks and Learning Systems
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