Mathias Kraus

发表

Machine Learning for Predicting the Risk of Transition from Prediabetes to Diabetes.

M. Saar-Tsechansky, S. Feuerriegel, C. Stettler, 2022, Diabetes technology & therapeutics.

Selecting advanced analytics in manufacturing: a decision support model

Torbjørn H. Netland, S. Feuerriegel, Mathias Kraus, 2022, SSRN Electronic Journal.

ClimateBert: A Pretrained Language Model for Climate-Related Text

Julia Anna Bingler, Markus Leippold, Nicolas Webersinke, 2021, ArXiv.

ClimateBert: A Pretrained Language Model for Climate-Related Text

Julia Anna Bingler, Markus Leippold, Nicolas Webersinke, 2021, SSRN Electronic Journal.

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

Stefan Feuerriegel, Asil Oztekin, Mathias Kraus, 2018, Eur. J. Oper. Res..

AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units

Stefan Feuerriegel, Tobias Hatt, Mathias Kraus, 2021, KDD.

Cheap Talk and Cherry-Picking: What ClimateBert has to say on Corporate Climate Risk Disclosures

Julia Anna Bingler, Markus Leippold, Nicolas Webersinke, 2021, SSRN Electronic Journal.

Anomaly detection for industrial quality assurance: A comparative evaluation of unsupervised deep learning models

Patrick Zschech, Mathias Kraus, Justus Zipfel, 2023, Comput. Ind. Eng..

Modeling longitudinal dynamics of comorbidities

Stefan Feuerriegel, Maytal Saar-Tsechansky, Mathias Kraus, 2021, CHIL.

GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints

Patrick Zschech, S. Zilker, Mathias Kraus, 2022, ECIS.

Improving heart rate variability measurements from consumer smartwatches with machine learning

Stefan Feuerriegel, Felix Wortmann, Tobias Kowatsch, 2019, UbiComp/ISWC Adjunct.

Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences

Stefan Feuerriegel, Mathias Kraus, S. Feuerriegel, 2019, Decis. Support Syst..

Machine Learning for Predicting Micro- and Macrovascular Complications in Individuals With Prediabetes or Diabetes: Retrospective Cohort Study

M. Saar-Tsechansky, S. Feuerriegel, C. Stettler, 2023, Journal of medical Internet research.

Deep learning for affective computing: Text-based emotion recognition in decision support

Stefan Feuerriegel, Helmut Prendinger, Bernhard Kratzwald, 2018, Decis. Support Syst..

Decision support from financial disclosures with deep neural networks and transfer learning

Stefan Feuerriegel, Mathias Kraus, S. Feuerriegel, 2017, Decis. Support Syst..

A Network Analysis of Drug Combinations Associated with Acute Generalized Exanthematous Pustulosis (AGEP)

E. van Weenen, S. Feuerriegel, S. Weiler, 2021, Journal of clinical medicine.

Decision support with text-based emotion recognition: Deep learning for affective computing pdf

Stefan Feuerriegel, Helmut Prendinger, Bernhard Kratzwald, 2018, ArXiv.

Sentiment analysis based on rhetorical structure theory: Learning deep neural networks from discourse trees

Stefan Feuerriegel, Mathias Kraus, S. Feuerriegel, 2017, Expert Syst. Appl..

Towards Wearable-based Hypoglycemia Detection and Warning in Diabetes

Stefan Feuerriegel, Elgar Fleisch, Felix Wortmann, 2020, CHI Extended Abstracts.

White Coat Adherence Effect on Glucose Control in Adult Individuals with Diabetes.

S. Feuerriegel, M. Gloor, C. Stettler, 2020, Diabetes research and clinical practice.

Machine learning for non‐invasive sensing of hypoglycaemia while driving in people with diabetes

T. Kowatsch, E. Fleisch, S. Feuerriegel, 2023, Diabetes, obesity & metabolism.

Glycaemic patterns of male professional athletes with type 1 diabetes during exercise, recovery and sleep: Retrospective, observational study over an entire competitive season

N. Banholzer, E. van Weenen, S. Feuerriegel, 2023, Diabetes, obesity & metabolism.

Interpretable generalized additive neural networks

D. Tschernutter, Patrick Zschech, Mathias Kraus, 2023, European Journal of Operational Research.

Putting Question-Answering Systems into Practice

Stefan Feuerriegel, Bernhard Kratzwald, H. Prendinger, 2018, Decis. Support Syst..

Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching

Stefan Feuerriegel, Mathias Kraus, S. Feuerriegel, 2019, KDD.

Data-Driven Allocation of Preventive Care With Application to Diabetes Mellitus Type II

M. Saar-Tsechansky, S. Feuerriegel, Mathias Kraus, 2023, Manuf. Serv. Oper. Manag..

Cascade-LSTM: A Tree-Structured Neural Classifier for Detecting Misinformation Cascades

Stefan Feuerriegel, Mathias Kraus, Francesco Ducci, 2020, KDD.

A Light in the Dark: Deep Learning Practices for Industrial Computer Vision

Patrick Zschech, Mathias Kraus, Maximilian Harl, 2022, Wirtschaftsinformatik.

Bringing Advanced Analytics to Manufacturing: A Systematic Mapping

Stefan Feuerriegel, Rafael Lorenz, Mathias Kraus, 2019, APMS.