| 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 | 520 | 2020 |
| Decision support from financial disclosures with deep neural networks and transfer learning M Kraus, S Feuerriegel Decision Support Systems 104, 38-48, 2017 | 444 | 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 | 441 | 2018 |
| 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 | 371 | 2022 |
| Climatebert: A pretrained language model for climate-related text N Webersinke, M Kraus, JA Bingler, M Leippold arXiv preprint arXiv:2110.12010, 2021 | 302 | 2021 |
| 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 | 167 | 2023 |
| Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences M Kraus, S Feuerriegel Decision Support Systems 125, 113100, 2019 | 158 | 2019 |
| 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 | 144 | 2023 |
| 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 | 141 | 2024 |
| 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 | 127 | 2024 |
| 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 | 99 | 2019 |
| 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 | 84 | 2024 |
| 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 | 72 | 2023 |
| Explainable AI for enhanced decision-making K Coussement, MZ Abedin, M Kraus, S Maldonado, K Topuz Decision Support Systems 184, 114276, 2024 | 59 | 2024 |
| 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 | 59 | 2022 |
| Interpretable generalized additive neural networks M Kraus, D Tschernutter, S Weinzierl, P Zschech European Journal of Operational Research 317 (2), 303-316, 2024 | 52 | 2024 |
| 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 | 50 | 2023 |
| 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 | 48 | 2021 |
| 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 | 46 | 2023 |
| 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 | 45 | 2023 |
