W. Philip Kegelmeyer
About
W. Philip Kegelmeyer has authored 28 papers that have received a total of 15.5k indexed citations.
This includes 22 papers in Artificial Intelligence, 7 papers in Information Systems and 4 papers in Signal Processing. The topics of these papers are Machine Learning and Data Classification (8 papers), Anomaly Detection Techniques and Applications (8 papers) and Adaptation to Concept Drift in Data Streams (7 papers). W. Philip Kegelmeyer is often cited by papers focused on Machine Learning and Data Classification (8 papers), Anomaly Detection Techniques and Applications (8 papers) and Adaptation to Concept Drift in Data Streams (7 papers) and collaborates with scholars based in United States. W. Philip Kegelmeyer's co-authors include Kevin W. Bowyer, Lawrence Hall, Nitesh V. Chawla, Robert E. Banfield and Clayton Springer and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Computational Physics and Radiology.
In The Last Decade
Fields of papers published by W. Philip Kegelmeyer
Since SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
Countries citing papers authored by W. Philip Kegelmeyer
Since SpecializationCitations
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