David Stutz
About
David Stutz has authored 11 papers that have received a total of 450 indexed citations.
This includes 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Electrical and Electronic Engineering. The topics of these papers are Adversarial Robustness in Machine Learning (6 papers), Advanced Neural Network Applications (3 papers) and Integrated Circuits and Semiconductor Failure Analysis (2 papers). David Stutz is often cited by papers focused on Adversarial Robustness in Machine Learning (6 papers), Advanced Neural Network Applications (3 papers) and Integrated Circuits and Semiconductor Failure Analysis (2 papers) and collaborates with scholars based in Germany, Brazil and Italy. David Stutz's co-authors include Bernt Schiele, Matthias Hein, Yong Guo, Geraldo A. G. Cidade and Nandhini Chandramoorthy and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Computer Vision and Image Understanding
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