David J. Miller

131 papers and 2.0k indexed citations i.

David J. Miller has authored 131 papers that have received a total of 2.0k indexed citations. This includes 74 papers in Artificial Intelligence, 25 papers in Computer Vision and Pattern Recognition and 23 papers in Signal Processing. The topics of these papers are Anomaly Detection Techniques and Applications (20 papers), Adversarial Robustness in Machine Learning (19 papers) and Neural Networks and Applications (16 papers). David J. Miller is often cited by papers focused on Anomaly Detection Techniques and Applications (20 papers), Adversarial Robustness in Machine Learning (19 papers) and Neural Networks and Applications (16 papers) and collaborates with scholars based in United States, Italy and China. David J. Miller's co-authors include George Kesidis, Zhen Xiang, Kenneth Rose and Guoqiang Yu and has published in prestigious journals such as Bioinformatics, PLoS ONE and Neurology