Troy Raeder
About
Troy Raeder has authored 8 papers that have received a total of 636 indexed citations.
This includes 5 papers in Artificial Intelligence, 2 papers in Information Systems and 2 papers in Computer Science Applications. The topics of these papers are Machine Learning and Data Classification (4 papers), Adaptation to Concept Drift in Data Streams (3 papers) and Imbalanced Data Classification Techniques (2 papers). Troy Raeder is often cited by papers focused on Machine Learning and Data Classification (4 papers), Adaptation to Concept Drift in Data Streams (3 papers) and Imbalanced Data Classification Techniques (2 papers) and collaborates with scholars based in United States, Spain and Norway. Troy Raeder's co-authors include Nitesh V. Chawla, B D'Alessandro, Claudia Perlich, Foster Provost and Ori Stitelman and has published in prestigious journals such as Pattern Recognition, Machine Learning and Journal of Machine Learning Research
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