David J. Marchette
About
David J. Marchette has authored 65 papers that have received a total of 984 indexed citations.
This includes 37 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 8 papers in Signal Processing. The topics of these papers are Bayesian Methods and Mixture Models (11 papers), Neural Networks and Applications (11 papers) and Anomaly Detection Techniques and Applications (9 papers). David J. Marchette is often cited by papers focused on Bayesian Methods and Mixture Models (11 papers), Neural Networks and Applications (11 papers) and Anomaly Detection Techniques and Applications (9 papers) and collaborates with scholars based in United States and Türkiye. David J. Marchette's co-authors include Carey E. Priebe, Jeffrey L. Solka, Edward J. Wegman, George W. Rogers and Youngser Park and has published in prestigious journals such as Technometrics, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Annals of Statistics.
In The Last Decade
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