Prof. Dr. Mathias Kraus

Juniorprofessur für Data Analytics

Anomaly detection for industrial quality assurance: A comparative evaluation of unsupervised deep learning models (2023) Zipfel J, Verworner F, Fischer M, Wieland U, Kraus M, Zschech P Journal article Evaluation of a newly designed deep learning-based algorithm for automated assessment of scapholunate distance in wrist radiography as a surrogate parameter for scapholunate ligament rupture and the correlation with arthroscopy (2023) Keller G, Rachunek K, Springer F, Kraus M Journal article Glycaemic patterns of male professional athletes with type 1 diabetes during exercise, recovery and sleep: Retrospective, observational study over an entire competitive season (2023) van Weenen E, Banholzer N, Föll S, Zueger T, Fontana FY, Skroce K, Hayes C, et al. Journal article Interpretable generalized additive neural networks (2023) Kraus M, Tschernutter D, Weinzierl S, Zschech P Journal article, Original article Best of both worlds: Combining predictive power with interpretable and explainable results for patient pathway prediction (2023) Zilker S, Weinzierl S, Zschech P, Kraus M, Matzner M Conference contribution, Conference Contribution Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda (2023) De Bock KW, Coussement K, Caigny AD, Słowiński R, Baesens B, Boute RN, Choi TM, et al. Journal article Smartwatches for non-invasive hypoglycaemia detection during cognitive and psychomotor stress (2023) Maritsch M, Föll S, Lehmann V, Styger N, Bérubé C, Kraus M, Feuerriegel S, et al. Journal article Towards Climate Awareness in NLP Research (2022) Hershcovich D, Webersinke N, Kraus M, Bingler JA, Leippold M Conference contribution, Conference Contribution ClimateBert: A Pretrained Language Model for Climate-Related Text (2022) Webersinke N, Kraus M, Bingler JA, Leippold M Conference contribution, Conference Contribution Machine Learning for Predicting the Risk of Transition from Prediabetes to Diabetes (2022) Zueger T, Schallmoser S, Kraus M, Saar-Tsechansky M, Feuerriegel S, Stettler C Journal article