Björn Barz

10 papers and 176 indexed citations i.

Björn Barz has authored 10 papers that have received a total of 176 indexed citations. This includes 10 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. The topics of these papers are Domain Adaptation and Few-Shot Learning (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Machine Learning and Data Classification (4 papers). Björn Barz is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Machine Learning and Data Classification (4 papers) and collaborates with scholars based in Germany and Italy. Björn Barz's co-authors include Joachim Denzler, Erik Rodner, Luca Iocchi, Alexander Freytag and Christoph Käding and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Journal of Imaging