David Mease
About
David Mease has authored 14 papers that have received a total of 569 indexed citations.
This includes 4 papers in Artificial Intelligence, 4 papers in Statistics, Probability and Uncertainty and 3 papers in Statistics and Probability. The topics of these papers are Probabilistic and Robust Engineering Design (4 papers), Machine Learning and Data Classification (3 papers) and Imbalanced Data Classification Techniques (2 papers). David Mease is often cited by papers focused on Probabilistic and Robust Engineering Design (4 papers), Machine Learning and Data Classification (3 papers) and Imbalanced Data Classification Techniques (2 papers) and collaborates with scholars based in United States and Canada. David Mease's co-authors include Abraham J. Wyner, Vijayan N. Nair, Andreas Buja, Neema Moraveji and Matthew Olson and has published in prestigious journals such as Technometrics, Journal of Machine Learning Research and SAE technical papers on CD-ROM/SAE technical paper series
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