Alexander Gepperth
About
Alexander Gepperth has authored 39 papers that have received a total of 270 indexed citations.
This includes 28 papers in Artificial Intelligence, 19 papers in Computer Vision and Pattern Recognition and 8 papers in Cognitive Neuroscience. The topics of these papers are Domain Adaptation and Few-Shot Learning (9 papers), Neural Networks and Applications (8 papers) and Video Surveillance and Tracking Methods (6 papers). Alexander Gepperth is often cited by papers focused on Domain Adaptation and Few-Shot Learning (9 papers), Neural Networks and Applications (8 papers) and Video Surveillance and Tracking Methods (6 papers) and collaborates with scholars based in Germany, France and Japan. Alexander Gepperth's co-authors include Jannik Fritsch, Uwe Handmann, Christian Goerick, Stefan Roth and Marcus Kleinehagenbrock and has published in prestigious journals such as BMC Bioinformatics, Neural Networks and Neurocomputing.
In The Last Decade
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