Juniorprofessur für Data Analytics

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 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 AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units (2021) Ozyurt Y, Kraus M, Hatt T, Feuerriegel S Conference contribution Cheap Talk and Cherry-Picking: What ClimateBert has to say on Corporate Climate Risk Disclosures (2021) Bingler JA, Kraus M, Leippold M Journal article, Original article