Mathias Kraus
Mathias Kraus
FAU Erlangen-Nuremberg
Verified email at - Homepage
Cited by
Cited by
Decision support from financial disclosures with deep neural networks and transfer learning
M Kraus, S Feuerriegel
Decision Support Systems 104, 38-48, 2017
Deep learning for affective computing: Text-based emotion recognition in decision support
B Kratzwald, S Ilić, M Kraus, S Feuerriegel, H Prendinger
Decision Support Systems 115, 24-35, 2018
Deep learning in business analytics and operations research: Models, applications and managerial implications
M Kraus, S Feuerriegel, A Oztekin
European Journal of Operational Research 281 (3), 628-641, 2020
Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences
M Kraus, S Feuerriegel
Decision Support Systems 125, 113100, 2019
Cheap talk and cherry-picking: What climatebert has to say on corporate climate risk disclosures
JA Bingler, M Kraus, M Leippold, N Webersinke
Finance Research Letters 47, 102776, 2022
Sentiment analysis based on rhetorical structure theory: Learning deep neural networks from discourse trees
M Kraus, S Feuerriegel
Expert Systems with Applications 118, 65-79, 2019
Climatebert: A pretrained language model for climate-related text
N Webersinke, M Kraus, JA Bingler, M Leippold
arXiv preprint arXiv:2110.12010, 2021
Cascade-LSTM: A tree-structured neural classifier for detecting misinformation cascades
F Ducci, M Kraus, S Feuerriegel
(KDD '20) Proceedings of the 26th ACM SIGKDD International Conference on …, 2020
Towards wearable-based hypoglycemia detection and warning in diabetes
M Maritsch, S Föll, V Lehmann, C Bérubé, M Kraus, S Feuerriegel, ...
Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing …, 2020
AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units
Y Oezyurt, M Kraus, T Hatt, S Feuerriegel
(KDD '21) Proceedings of the 27th ACM SIGKDD International Conference on …, 2021
Improving heart rate variability measurements from consumer smartwatches with machine learning
M Maritsch, C Bérubé, M Kraus, V Lehmann, T Züger, S Feuerriegel, ...
Adjunct Proceedings of the 2019 ACM International Joint Conference on …, 2019
Towards climate awareness in NLP research
D Hershcovich, N Webersinke, M Kraus, JA Bingler, M Leippold
(EMNLP '22) Proceedings of the 2022 Conference on Empirical Methods in …, 2022
Bringing advanced analytics to manufacturing: a systematic mapping
H Wolf, R Lorenz, M Kraus, S Feuerriegel, TH Netland
Advances in Production Management Systems. Production Management for the …, 2019
Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching
M Kraus, S Feuerriegel
(KDD '19) Proceedings of the 25th ACM SIGKDD International Conference on …, 2019
Cheap talk in corporate climate commitments: The effectiveness of climate initiatives
JA Bingler, M Kraus, M Leippold, N Webersinke
Available at SSRN 3998435, 2022
A network analysis of drug combinations associated with acute generalized exanthematous pustulosis (AGEP)
A Martinez-De la Torre, E van Weenen, M Kraus, S Weiler, S Feuerriegel, ...
Journal of Clinical Medicine 10 (19), 4486, 2021
GAM (e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints
P Zschech, S Weinzierl, N Hambauer, S Zilker, M Kraus
(ECIS '22) 30th European Conference on Information Systems, Timisoara, Romania, 2022
Modeling longitudinal dynamics of comorbidities
B Maag, S Feuerriegel, M Kraus, M Saar-Tsechansky, T Züger
Proceedings of the Conference on Health, Inference, and Learning, 222-235, 2021
White coat adherence effect on glucose control in adult individuals with diabetes
T Zueger, M Gloor, V Lehmann, A Melmer, M Kraus, S Feuerriegel, ...
Diabetes research and clinical practice 168, 108392, 2020
Anomaly detection for industrial quality assurance: A comparative evaluation of unsupervised deep learning models
J Zipfel, F Verworner, M Fischer, U Wieland, M Kraus, P Zschech
Computers & Industrial Engineering 177, 109045, 2023
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