Publications

Selected publications

For a full list, see google scholar.

  • Kraus M, Feuerriegel S, Oztekin A: Deep Learning in Business Analytics and Operations Research: Models, Applications and Managerial Implications, European Journal of Operational Research, 2020; 281, 628-641
  • Zschech P, Weinzierl S, Hambauer N, Zilker S, Kraus M: GAM (e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints, 30th European Conference on Information Systems (ECIS), 2022
  • Bingler J, Kraus M, Leippold M, Webersinke N: Cheap talk and cherry-picking: What ClimateBert has to say on corporate climate risk disclosures, Finance Research Letters, 2022, 102776
  • Kratzwald B, Ilic S, Kraus M, Feuerriegel S, Prendinger H: Deep Learning for Affective Computing: Text-Based Emotion Recognition in Decision Support, Decision Support Systems, 2018; 115, 24-35
  • Kraus M, Feuerriegel S: Decision Support from Financial Disclosures with Deep Neural Networks and Transfer Learning, Decision Support Systems, 2017; 104, 38-48
  • Kraus M, Feuerriegel S: Sentiment Analysis Based on Rhetorical Structure Theory: Learning Deep Neural Networks from Discourse Trees, Expert Systems with Applications, 2019; 118, 65-79
  • Kraus M, Feuerriegel S: Forecasting Remaining Useful Life: Interpretable Deep Learning Approach via Variational Bayesian Inferences, Decision Support Systems, 2019; 125
  • Maag, Basil; Feuerriegel, Stefan; Kraus, Mathias; Saar-Tsechansky, Maytal; Züger, Thomas: Modeling Longitudinal Dynamics of Comorbidities, ACM Conference on Health, Inference, and Learning, 2021
  • Kraus M, Feuerriegel S: Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching, ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
  • Oezyurt, Yilmazcan; Kraus, Mathias; Hatt, Tobias; Feuerriegel, Stefan: AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units, ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2021