Philip Kegelmeyer
About
Philip Kegelmeyer has authored 6 papers that have received a total of 215 indexed citations.
This includes 3 papers in Artificial Intelligence, 2 papers in Molecular Biology and 1 paper in Ecology. The topics of these papers are Remote Sensing in Agriculture (1 paper), Topic Modeling (1 paper) and Anomaly Detection Techniques and Applications (1 paper). Philip Kegelmeyer is often cited by papers focused on Remote Sensing in Agriculture (1 paper), Topic Modeling (1 paper) and Anomaly Detection Techniques and Applications (1 paper) and collaborates with scholars based in United States. Philip Kegelmeyer's co-authors include Clayton Springer, Daniel Dunlavy, Diana C. Roe, Jonathan Crussell and David Andrzejewski and has published in prestigious journals such as Journal of Medicinal Chemistry and Machine Vision and Applications
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