• 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
  • 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, Oztekin A: Deep Learning in Business Analytics and Operations Research: Models, Applications and Managerial Implications, European Journal of Operational Research, 2020; 281, 628-641
  • Ducci F, Kraus M, Feuerriegel S: Cascade-LSTM: A Tree-Structured Neural Classifier for Detecting Misinformation Cascades, ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2020
  • Zueger T, Gloor M, Lehmann V, Melmer A, Kraus M, Feuerriegel S, Laimer M, Stettler C: White Coat Adherence Effect on Glucose Control in Adult Individuals with Diabetes, Diabetes Research and Clinical Practice, 2020, 168:108392
  • Maritsch M, Foell S, Lehmann V, Berube C, Kraus M, Feuerriegel S, Kowatsch T, Zueger T, Stettler C, Wortmann F: Towards Wearable-based Hypoglycemia Detection and Warning in Diabetes, ACM CHI Conference on Human Factors in Computing Systems, 2020


  • Kraus M, Feuerriegel S: Forecasting Remaining Useful Life: Interpretable Deep Learning Approach via Variational Bayesian Inferences, Decision Support Systems, 2019; 125
  • 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
  • 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
  • Wolf H, Lorenz R, Kraus M, Feuerriegel S, Netland T: Bringing Advanced Analytics to Manufacturing: A Systematic Mapping, International Conference on Advances in Production Management Systems, 2019
  • Zueger T, Lehmann V, Kraus M, Feuerriegel S, Kowatsch T, Wortmann F, Laimer M, Fleisch E, Stettler C: HEADWIND: Design and Evaluation of a Vehicle Hypoglycemia Warning System in Diabetes – A Proof of Principle Study, Swiss Society of Endocrinology and Diabetology Annual Meeting, 2019
  • Maritsch M, Berube C, Kraus M, Lehmann V, Zueger T, Feuerriegel S, Kowatsch T, Wortmann F: Improving Heart Rate Variability Measurements from Consumer Smartwatches with Machine Learning, Mental health and well-being: Sensing and intervention, International Joint Conference on Pervasive and Ubiquitous Computing, 2019


  • 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