Prof. Dr. Mathias Kraus

2022

• Bingler, J.A., Kraus, M., Leippold, M., & Webersinke, N. (2022). Cheap Talk in Corporate Climate Commitments: The Role of Active Institutional Ownership, Signaling, Materiality, and Sentiment. Social Science Research Network. https://dx.doi.org/10.2139/ssrn.4000708
• Bingler, J.A., Kraus, M., Leippold, M., & Webersinke, N. (2022). Cheap Talk and Cherry-Picking: What ClimateBert has to say on Corporate Climate Risk Disclosures. Finance Research Letters. https://dx.doi.org/10.1016/j.frl.2022.102776
• Harl, M., Herchenbach, M., Kruschel, S., Hambauer, N., Zschech, P., & Kraus, M. (2022). A Light in the Dark: Deep Learning Practices for Industrial Computer Vision. In Proceedings of the 17th International Conference on Wirtschaftsinformatik (WI). Nürnberg, DE.
• Zschech, P., Weinzierl, S., Hambauer, N., Zilker, S., & Kraus, M. (2022). Gam(e) Changer or Not? An Evaluation of Interpretable Machine Learning Models based on Additive Model Constraints. In Proceedings of the 30th European Conference on Information Systems (pp. 1-18). Timisoara, RO: AISeL.

2021

• Bingler, J.A., Kraus, M., & Leippold, M. (2021). Cheap Talk and Cherry-Picking: What ClimateBert has to say on Corporate Climate Risk Disclosures. Social Science Research Network. https://dx.doi.org/10.2139/ssrn.3796152
• Maag, B., Feuerriegel, S., Kraus, M., Saar-Tsechansky, M., & Züger, T. (2021). Modeling longitudinal dynamics of comorbidities. In ACM CHIL 2021 - Proceedings of the 2021 ACM Conference on Health, Inference, and Learning (pp. 222-235). Association for Computing Machinery, Inc.
• Ozyurt, Y., Kraus, M., Hatt, T., & Feuerriegel, S. (2021). AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units. In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 3452-3462). Virtual, SG: Association for Computing Machinery.
• la Torre, A.M.D., van Weenen, E., Kraus, M., Weiler, S., Feuerriegel, S., & Burden, A.M. (2021). A network analysis of drug combinations associated with acute generalized exanthematous pustulosis (AGEP). Journal of Clinical Medicine, 10(19). https://dx.doi.org/10.3390/jcm10194486

2020

• Ducci, F., Kraus, M., & Feuerriegel, S. (2020). Cascade-LSTM: A Tree-Structured Neural Classifier for Detecting Misinformation Cascades. In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 2666-2676). Association for Computing Machinery.
• Kraus, M., Feuerriegel, S., & Oztekin, A. (2020). Deep learning in business analytics and operations research: Models, applications and managerial implications. European Journal of Operational Research, 281(3), 628-641. https://dx.doi.org/10.1016/j.ejor.2019.09.018
• Maritsch, M., Föll, S., Lehmann, V., Bérubé, C., Kraus, M., Feuerriegel, S.,... Wortmann, F. (2020). Towards wearable-based hypoglycemia detection and warning in diabetes. In Conference on Human Factors in Computing Systems - Proceedings. Honolulu, HI, US: Association for Computing Machinery.
• Zueger, T., Gloor, M., Lehmann, V., Melmer, A., Kraus, M., Feuerriegel, S.,... Stettler, C. (2020). White coat adherence effect on glucose control in adult individuals with diabetes. Diabetes Research and Clinical Practice, 168. https://dx.doi.org/10.1016/j.diabres.2020.108392