Diana F. Gordon
About
Diana F. Gordon has authored 18 papers that have received a total of 389 indexed citations.
This includes 10 papers in Artificial Intelligence, 3 papers in Public Health, Environmental and Occupational Health and 2 papers in Computational Theory and Mathematics. The topics of these papers are Machine Learning and Data Classification (4 papers), Machine Learning and Algorithms (3 papers) and Imbalanced Data Classification Techniques (2 papers). Diana F. Gordon is often cited by papers focused on Machine Learning and Data Classification (4 papers), Machine Learning and Algorithms (3 papers) and Imbalanced Data Classification Techniques (2 papers) and collaborates with scholars based in United States and Germany. Diana F. Gordon's co-authors include William M. Spears, Christopher Rouff, Walt Truszkowski, James L. Rash and Mary B. Zelinski and has published in prestigious journals such as Expert Systems with Applications, SLEEP and Biology of Reproduction
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