Kraus, Mathias

Deep learning in business analytics and operations research: Models, applications and managerial implications

Kraus, M., Feuerriegel, S., & Oztekin, A. (2020) · European Journal of Operational Research

Big Data and Business IntelligenceImpact of AI and Big Data on Business and Society

Cited by 392

Interpretable generalized additive neural networks

Kraus, M., Tschernutter, D., Weinzierl, S., & Zschech, P. (2024) · European Journal of Operational Research

Explainable Artificial Intelligence (XAI)Machine Learning and ELM

Cited by 59

Noninvasive Hypoglycemia Detection in People With Diabetes Using Smartwatch Data

Lehmann, V., Föll, S., Maritsch, M., van Weenen, E., Kraus, M., Lagger, S., Odermatt, K., Albrecht, C., Fleisch, E., Zueger, T., et al. (2023) · Diabetes Care

Diabetes Management and ResearchNon-Invasive Vital Sign Monitoring

Cited by 53

Towards Wearable-based Hypoglycemia Detection and Warning in Diabetes

Maritsch, M., Föll, S., Lehmann, V., Bérubé, C., Kraus, M., Feuerriegel, S., Kowatsch, T., Züger, T., Stettler, C., Fleisch, E., et al. (2020) · Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems

Diabetes Management and ResearchNon-Invasive Vital Sign Monitoring

Cited by 35

A machine learning framework for interpretable predictions in patient pathways: the case of predicting ICU admission for patients with symptoms of sepsis

Zilker, S., Weinzierl, S., Kraus, M., Zschech, P., & Matzner, M. (2024) · Health Care Management Science

Machine Learning in HealthcareSepsis Diagnosis and Treatment

Cited by 29

Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering

Schimanski, T., Ni, J., Kraus, M., Ash, E., & Leippold, M. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingInformation Retrieval and Search Behavior

Cited by 15

Toward generalizable and interpretable machine learning models in healthcare: Insights from ICU outcome predictions

Bohlen, L., Rosenberger, J., Hambauer, N., Zähringer, D., Franz, V., Zschech, P., & Kraus, M. (2026) · Health Care Management Science

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 0