Prof. Dr. Mathias Kraus

Juniorprofessur für Data Analytics

Cascade-LSTM: A Tree-Structured Neural Classifier for Detecting Misinformation Cascades (2020) Ducci F, Kraus M, Feuerriegel S Conference contribution Towards wearable-based hypoglycemia detection and warning in diabetes (2020) Maritsch M, Föll S, Lehmann V, Bérubé C, Kraus M, Feuerriegel S, Kowatsch T, et al. Conference contribution Deep learning in business analytics and operations research: Models, applications and managerial implications (2020) Kraus M, Feuerriegel S, Oztekin A Journal article Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences (2019) Kraus M, Feuerriegel S Journal article Improving heart rate variability measurements from consumer smartwatches with machine learning (2019) Maritsch M, Berube C, Kraus M, Lehmann V, Zuger T, Feuerriegel S, Kowatsch T, Wortmann F Conference contribution Personalized purchase prediction of market baskets with Wasserstein-based sequence matching (2019) Kraus M, Feuerriegel S Conference contribution Sentiment analysis based on rhetorical structure theory:Learning deep neural networks from discourse trees (2019) Kraus M, Feuerriegel S Journal article Bringing Advanced Analytics to Manufacturing: A Systematic Mapping (2019) Wolf H, Lorenz R, Kraus M, Feuerriegel S, Netland TH Conference contribution Deep learning for affective computing: Text-based emotion recognition in decision support (2018) Kratzwald B, Ilic S, Kraus M, Feuerriegel S, Prendinger H Journal article Decision support from financial disclosures with deep neural networks and transfer learning (2017) Kraus M, Feuerriegel S Journal article