Prof. Dr. Mathias Kraus

Juniorprofessur für Data Analytics

Data-Driven Allocation of Preventive Care with Application to Diabetes Mellitus Type II (2023) Kraus M, Feuerriegel S, Saar-Tsechansky M Journal article CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based Tools (2023) Ni J, Bingler J, Colesanti-Senni C, Kraus M, Gostlow G, Schimanski T, Stammbach D, et al. Conference contribution ClimateBERT-NetZero: Detecting and Assessing Net Zero and Reduction Targets (2023) Schimanski T, Bingler J, Hyslop C, Kraus M, Leippold M Conference contribution 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 Selecting advanced analytics in manufacturing: a decision support model (2022) Lorenz R, Kraus M, Wolf H, Feuerriegel S, Netland TH Journal article GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints (2022) Zschech P, Weinzierl S, Hambauer N, Zilker S, Kraus M Conference contribution, Conference Contribution Cheap Talk and Cherry-Picking: What ClimateBert has to say on Corporate Climate Risk Disclosures (2022) Bingler JA, Kraus M, Leippold M, Webersinke N Journal article A Light in the Dark: Deep Learning Practices for Industrial Computer Vision (2022) Harl M, Herchenbach M, Kruschel S, Hambauer N, Zschech P, Kraus M Conference contribution, Conference Contribution