Cody Coleman
About
Cody Coleman has authored 11 papers that have received a total of 285 indexed citations.
This includes 8 papers in Artificial Intelligence, 6 papers in Computer Science Applications and 3 papers in Education. The topics of these papers are Online Learning and Analytics (6 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers) and Machine Learning and Data Classification (3 papers). Cody Coleman is often cited by papers focused on Online Learning and Analytics (6 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers) and Machine Learning and Data Classification (3 papers) and collaborates with scholars based in United States, Singapore and Russia. Cody Coleman's co-authors include Jacob Whitehill, Joseph Jay Williams, Justin Reich, Matei Zaharia and Peter Bailis and has published in prestigious journals such as IEEE Micro, ACM SIGOPS Operating Systems Review and Journal of Learning Analytics
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