Matthias Reif
About
Matthias Reif has authored 4 papers that have received a total of 198 indexed citations.
This includes 4 papers in Artificial Intelligence, 1 paper in Biomedical Engineering and 1 paper in Computer Vision and Pattern Recognition. The topics of these papers are Machine Learning and Data Classification (3 papers), Domain Adaptation and Few-Shot Learning (1 paper) and Imbalanced Data Classification Techniques (1 paper). Matthias Reif is often cited by papers focused on Machine Learning and Data Classification (3 papers), Domain Adaptation and Few-Shot Learning (1 paper) and Imbalanced Data Classification Techniques (1 paper) and collaborates with scholars based in Germany and Australia. Matthias Reif's co-authors include Faisal Shafait, Thomas M. Breuel, Andreas Dengel, Markus Goldstein and Armin Stahl and has published in prestigious journals such as Pattern Recognition, Machine Learning and Pattern Analysis and Applications.
In The Last Decade
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