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Mathias Kraus
Mathias Kraus
Professor for Explainable AI, University of Regensburg
Email verificata su informatik.uni-regensburg.de - Home page
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Citata da
Citata da
Anno
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
3882020
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
3722018
Decision support from financial disclosures with deep neural networks and transfer learning
M Kraus, S Feuerriegel
Decision Support Systems 104, 38-48, 2017
3682017
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
2072022
Climatebert: A pretrained language model for climate-related text
N Webersinke, M Kraus, JA Bingler, M Leippold
arXiv preprint arXiv:2110.12010, 2021
1362021
Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences
M Kraus, S Feuerriegel
Decision Support Systems 125, 113100, 2019
1332019
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
862019
ChatClimate: Grounding conversational AI in climate science
SA Vaghefi, D Stammbach, V Muccione, J Bingler, J Ni, M Kraus, S Allen, ...
Communications Earth & Environment 4 (1), 480, 2023
512023
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
442023
Explainable AI for operational research: A defining framework, methods, applications, and a research agenda
KW De Bock, K Coussement, A De Caigny, R Słowiński, B Baesens, ...
European Journal of Operational Research 317 (2), 249-272, 2024
392024
How cheap talk in climate disclosures relates to climate initiatives, corporate emissions, and reputation risk
JA Bingler, M Kraus, M Leippold, N Webersinke
Journal of Banking & Finance 164, 107191, 2024
362024
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
362020
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
352022
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
332021
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
322020
A Dataset for Detecting Real-World Environmental Claims
D Stammbach, N Webersinke, JA Bingler, M Kraus, M Leippold
(ACL '23) Annual Meeting of the Association for Computational Linguistics, 2022
222022
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
222019
Enhancing large language models with climate resources
M Kraus, JA Bingler, M Leippold, T Schimanski, CC Senni, D Stammbach, ...
arXiv preprint arXiv:2304.00116, 2023
212023
Chatreport: Democratizing sustainability disclosure analysis through llm-based tools
J Ni, J Bingler, C Colesanti-Senni, M Kraus, G Gostlow, T Schimanski, ...
arXiv preprint arXiv:2307.15770, 2023
202023
Noninvasive hypoglycemia detection in people with diabetes using smartwatch data
V Lehmann, S Föll, M Maritsch, E van Weenen, M Kraus, S Lagger, ...
Diabetes Care 46 (5), 993-997, 2023
202023
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