Charles Elkan
About
Charles Elkan has authored 63 papers that have received a total of 10.6k indexed citations.
This includes 45 papers in Artificial Intelligence, 15 papers in Molecular Biology and 10 papers in Computer Vision and Pattern Recognition. The topics of these papers are Machine Learning and Data Classification (10 papers), Machine Learning and Algorithms (9 papers) and Text and Document Classification Technologies (7 papers). Charles Elkan is often cited by papers focused on Machine Learning and Data Classification (10 papers), Machine Learning and Algorithms (9 papers) and Text and Document Classification Technologies (7 papers) and collaborates with scholars based in United States, Canada and Spain. Charles Elkan's co-authors include Timothy L. Bailey, William Noble Grundy, Michael E. Baker, Aditya Krishna Menon and Qinghua Guo and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Biochemical and Biophysical Research Communications
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