Elisabeth Giem
About
Elisabeth Giem has authored 7 papers that have received a total of 222 indexed citations.
This includes 5 papers in Information Systems, 4 papers in Computational Theory and Mathematics and 3 papers in Computer Vision and Pattern Recognition. The topics of these papers are Data Mining Algorithms and Applications (4 papers), Rough Sets and Fuzzy Logic (4 papers) and Imbalanced Data Classification Techniques (1 paper). Elisabeth Giem is often cited by papers focused on Data Mining Algorithms and Applications (4 papers), Rough Sets and Fuzzy Logic (4 papers) and Imbalanced Data Classification Techniques (1 paper) and collaborates with scholars based in United States, China and Macao. Elisabeth Giem's co-authors include Shuyin Xia, Guoyin Wang, Zizhong Chen, Xinbo Gao and Deyu Meng and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Knowledge and Data Engineering
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