Ute Schmid
About
Ute Schmid has authored 63 papers that have received a total of 494 indexed citations.
This includes 32 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 9 papers in Experimental and Cognitive Psychology. The topics of these papers are Explainable Artificial Intelligence (XAI) (15 papers), Teaching and Learning Programming (7 papers) and Computability, Logic, AI Algorithms (6 papers). Ute Schmid is often cited by papers focused on Explainable Artificial Intelligence (XAI) (15 papers), Teaching and Learning Programming (7 papers) and Computability, Logic, AI Algorithms (6 papers) and collaborates with scholars based in Germany, United Kingdom and United States. Ute Schmid's co-authors include Katharina Weitz, Michael Siebers, Emanuel Kitzelmann, Miriam Kunz and Stefan Lautenbacher and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Communications of the ACM and Information Sciences
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