Chris Seiffert
About
Chris Seiffert has authored 11 papers that have received a total of 1.5k indexed citations.
This includes 11 papers in Artificial Intelligence, 6 papers in Information Systems and 2 papers in Electrical and Electronic Engineering. The topics of these papers are Imbalanced Data Classification Techniques (9 papers), Machine Learning and Data Classification (8 papers) and Data Mining Algorithms and Applications (4 papers). Chris Seiffert is often cited by papers focused on Imbalanced Data Classification Techniques (9 papers), Machine Learning and Data Classification (8 papers) and Data Mining Algorithms and Applications (4 papers) and collaborates with scholars based in United States. Chris Seiffert's co-authors include Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano, Andres Folleco and Naeem Seliya and has published in prestigious journals such as Information Sciences, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans and Integrated Computer-Aided Engineering
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