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Our research article titled "Machine Learning for Predicting Micro- and Macrovascular Complications in Individuals with Prediabetes or Diabetes: Retrospective Cohort Study" has been accepted in the Journal of Medical Internet Research. In this work, we study how machine learning methods can be used ...

Can unsupervised deep learning models compete with their supervised counterparts for visual defect detection while meeting the high safety standards of industrial quality assurance? The short answer is “yes, they can” as we could demonstrate in a recent study published in Computers & Industrial ...

We recently kicked of our project site https://www.whitebox-ai.rw.fau.de/, where we post updates about our process towards making AI more comprehensible for the humans. Our team, consisting of Prof. Patrick Zschech, Nico Hambauer, Sven Kruschel, Julian Rosenberger, Lasse Bohlen consists of researche...

Our paper "Towards Climate Awareness in NLP Research" has been presented at this years Conference on Empirical Methods in Natural Language Processing (EMNLP). In this work, we discuss the status of climate awareness of NLP and propose means to effectively keep track of climate impact from research. ...