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Mathias Kraus
Mathias Kraus
Professor for Explainable AI, University of Regensburg
informatik.uni-regensburg.de의 이메일 확인됨 - 홈페이지
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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
4212020
Decision support from financial disclosures with deep neural networks and transfer learning
M Kraus, S Feuerriegel
Decision Support Systems 104, 38-48, 2017
3922017
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
3902018
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
2462022
Climatebert: A pretrained language model for climate-related text
N Webersinke, M Kraus, JA Bingler, M Leippold
arXiv preprint arXiv:2110.12010, 2021
1672021
Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences
M Kraus, S Feuerriegel
Decision Support Systems 125, 113100, 2019
1382019
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
912019
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
732023
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
662023
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
592024
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
532024
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
402020
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
392022
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
342020
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
332023
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
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
262023
Bridging the gap in ESG measurement: Using NLP to quantify environmental, social, and governance communication
T Schimanski, A Reding, N Reding, J Bingler, M Kraus, M Leippold
Finance Research Letters 61, 104979, 2024
252024
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
252022
Environmental Claim Detection
D Stammbach, N Webersinke, J Bingler, M Kraus, M Leippold
(ACL '23) Proceedings of the 61st Annual Meeting of the Association for …, 2023
242023
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학술자료 1–20