Publications
2023 Keller G. , Rachunek K. , Springer F. , Kraus M. :Evaluation of a newly designed deep learning-based algorithm for automated assessment of scapholunate distance in wrist radiography as a surrogate parameter for scapholunate ligament rupture and the correlation with arthroscopy Radiologia Medica 2023 )ISSN: 0033-8362 10.1007/s11547-023-01720-8 Kraus M. , Tschernutter D. , Weinzierl S. , Zschech P. :Interpretable generalized additive neural networks European Journal of Operational Research 2023 )ISSN: 0377-2217 10.1016/j.ejor.2023.06.032 Lehmann V. , Foll S. , Maritsch M. , van Weenen E. , Kraus M. , Lagger S. , Odermatt K. , Albrecht C. , Fleisch E. , Zueger T. , Wortmann F. , Stettler C. :Noninvasive Hypoglycemia Detection in People With Diabetes Using Smartwatch Data Diabetes Care 46 2023 ), p. 993-997 ISSN: 0149-5992 10.2337/dc22-2290 Lehmann V. , Zueger T. , Maritsch M. , Kraus M. , Albrecht C. , Berube C. , Feuerriegel S. , Wortmann F. , Kowatsch T. , Styger N. , Lagger S. , Laimer M. , Fleisch E. , Stettler C. :Machine learning for non-invasive sensing of hypoglycaemia while driving in people with diabetes Diabetes Obesity & Metabolism 2023 )ISSN: 1462-8902 10.1111/dom.15021 Schallmoser S. , Zueger T. , Kraus M. , Saar-Tsechansky M. , Stettler C. , Feuerriegel S. :Machine Learning for Predicting Micro- and Macrovascular Complications in Individuals With Prediabetes or Diabetes: Retrospective Cohort Study Journal of Medical Internet Research 25 2023 ), p. e42181- ISSN: 1438-8871 10.2196/42181 Stammbach D. , Webersinke N. , Bingler JA. , Kraus M. , Leippold M. :Environmental Claim Detection 61st Annual Meeting of the Association for Computational Linguistics (Toronto 09.07.2023 - 14.07.2023 )In: Association for Computational Linguistics (ed.): Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) 2023 https://aclanthology.org/2023.acl-short.91 https://aclanthology.org/2023.acl-short.91 Webersinke N. :Natural Language Processing meets Accounting and Finance: Review and Performance Comparison of Textual Analysis Approaches 2023 )10.2139/ssrn.4527724 Zilker S. , Weinzierl S. , Zschech P. , Kraus M. , Matzner M. :Best of both worlds: Combining predictive power with interpretable and explainable results for patient pathway prediction European Conference on Information Systems (Kristiansand 13.06.2023 - 16.06.2023 )In: Proceedings of the 31st European Conference on Information Systems 2023 Zipfel J. , Verworner F. , Fischer M. , Wieland U. , Kraus M. , Zschech P. :Anomaly detection for industrial quality assurance: A comparative evaluation of unsupervised deep learning models Computers & Industrial Engineering 177 2023 ), Article No.: 109045 ISSN: 0360-8352 10.1016/j.cie.2023.109045 2022 Bingler JA. , Kraus M. , Leippold M. , Webersinke N. :Cheap Talk and Cherry-Picking: What ClimateBert has to say on Corporate Climate Risk Disclosures Finance Research Letters 47 2022 ), p. 102776 ISSN: 1544-6123 10.1016/j.frl.2022.102776 Bingler JA. , Kraus M. , Leippold M. , Webersinke N. :Cheap Talk in Corporate Climate Commitments: The effectiveness of climate initiatives Social Science Research Network 2022 )10.2139/ssrn.3998435 Harl M. , Herchenbach M. , Kruschel S. , Hambauer N. , Zschech P. , Kraus M. :A Light in the Dark: Deep Learning Practices for Industrial Computer Vision In: Proceedings of the 17th International Conference on Wirtschaftsinformatik (WI) 2022 https://aisel.aisnet.org/wi2022/student_track/student_track/33/ https://aisel.aisnet.org/wi2022/student_track/student_track/33/ Hershcovich D. , Webersinke N. , Kraus M. , Bingler JA. , Leippold M. :Towards Climate Awareness in NLP Research EMNLP 2022: The 2022 Conference on Empirical Methods in Natural Language Processing (Abu Dhabi 07.12.2022 - 11.12.2022 )In: Association for Computational Linguistics (ed.): Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing 2022 https://aclanthology.org/2022.emnlp-main.159 https://aclanthology.org/2022.emnlp-main.159 Hübel B. , Scholz H. , Webersinke N. :Permutation Tests for Stock Index Performance: Evidence from ESG Indices 2022 )10.2139/ssrn.3528309 Lorenz R. , Kraus M. , Wolf H. , Feuerriegel S. , Netland TH. :Selecting advanced analytics in manufacturing: a decision support model Production Planning & Control 2022 )ISSN: 0953-7287 10.1080/09537287.2022.2126951 Webersinke N. , Kraus M. , Bingler JA. , Leippold M. :ClimateBert: A Pretrained Language Model for Climate-Related Text AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges (Arlington, VA 17.11.2022 - 19.11.2022 )In: Proceedings of AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges 2022 10.2139/ssrn.4229146 https://www.climatechange.ai/papers/aaaifss2022/12 Zschech P. , Weinzierl S. , Hambauer N. , Zilker S. , Kraus M. :GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints European Conference on Information Systems (Timisoara 05.07.2022 - 09.07.2022 )In: Proceedings of the 30th European Conference on Information Systems 2022 Zueger T. , Schallmoser S. , Kraus M. , Saar-Tsechansky M. , Feuerriegel S. , Stettler C. :Machine Learning for Predicting the Risk of Transition from Prediabetes to Diabetes Diabetes Technology & Therapeutics 2022 )ISSN: 1520-9156 10.1089/dia.2022.0210 2021 Bingler JA. , Kraus M. , Leippold M. :Cheap Talk and Cherry-Picking: What ClimateBert has to say on Corporate Climate Risk Disclosures Social Science Research Network 2021 )ISSN: 1556-5068 10.2139/ssrn.3796152 Maag B. , Feuerriegel S. , Kraus M. , Saar-Tsechansky M. , Züger T. :Modeling longitudinal dynamics of comorbidities 2021 ACM Conference on Health, Inference, and Learning, CHIL 2021 (, 08.04.2021 - 09.04.2021 )In: ACM CHIL 2021 - Proceedings of the 2021 ACM Conference on Health, Inference, and Learning 2021 10.1145/3450439.3451871 Ozyurt Y. , Kraus M. , Hatt T. , Feuerriegel S. :AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2021 (Virtual 14.08.2021 - 18.08.2021 )In: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 2021 10.1145/3447548.3467143 la Torre AMD. , van Weenen E. , Kraus M. , Weiler S. , Feuerriegel S. , Burden AM. :A network analysis of drug combinations associated with acute generalized exanthematous pustulosis (AGEP) Journal of Clinical Medicine 10 2021 ), Article No.: 4486 ISSN: 2077-0383 10.3390/jcm10194486 2020 Ducci F. , Kraus M. , Feuerriegel S. :Cascade-LSTM: A Tree-Structured Neural Classifier for Detecting Misinformation Cascades 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2020 (, 23.08.2020 - 27.08.2020 )In: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 2020 10.1145/3394486.3403317 Kraus M. , Feuerriegel S. , Oztekin A. :Deep learning in business analytics and operations research: Models, applications and managerial implications European Journal of Operational Research 281 2020 ), p. 628-641 ISSN: 0377-2217 10.1016/j.ejor.2019.09.018 Maritsch M. , Föll S. , Lehmann V. , Bérubé C. , Kraus M. , Feuerriegel S. , Kowatsch T. , Züger T. , Stettler C. , Fleisch E. , Wortmann F. :Towards wearable-based hypoglycemia detection and warning in diabetes 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020 (Honolulu, HI 25.04.2020 - 30.04.2020 )In: Conference on Human Factors in Computing Systems - Proceedings 2020 10.1145/3334480.3382808 Zueger T. , Gloor M. , Lehmann V. , Melmer A. , Kraus M. , Feuerriegel S. , Laimer M. , Stettler C. :White coat adherence effect on glucose control in adult individuals with diabetes Diabetes Research and Clinical Practice 168 2020 ), Article No.: 108392 ISSN: 0168-8227 10.1016/j.diabres.2020.108392 2019 Kraus M. , Feuerriegel S. :Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences Decision Support Systems 125 2019 ), Article No.: 113100 ISSN: 0167-9236 10.1016/j.dss.2019.113100 Kraus M. , Feuerriegel S. :Personalized purchase prediction of market baskets with Wasserstein-based sequence matching 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2019 (Anchorage, AK 04.08.2019 - 08.08.2019 )In: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 2019 10.1145/3292500.3330791 Kraus M. , Feuerriegel S. :Sentiment analysis based on rhetorical structure theory:Learning deep neural networks from discourse trees Expert Systems With Applications 118 2019 ), p. 65-79 ISSN: 0957-4174 10.1016/j.eswa.2018.10.002 Maritsch M. , Berube C. , Kraus M. , Lehmann V. , Zuger T. , Feuerriegel S. , Kowatsch T. , Wortmann F. :Improving heart rate variability measurements from consumer smartwatches with machine learning 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2019 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2019 (London 09.09.2019 - 13.09.2019 )In: UbiComp/ISWC 2019- - Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers 2019 10.1145/3341162.3346276 Wolf H. , Lorenz R. , Kraus M. , Feuerriegel S. , Netland TH. :Bringing Advanced Analytics to Manufacturing: A Systematic Mapping IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2019 (Austin, TX 01.09.2019 - 05.09.2019 )In: Farhad Ameri, Kathryn E. Stecke, Gregor von Cieminski, Dimitris Kiritsis (ed.): IFIP Advances in Information and Communication Technology 2019 10.1007/978-3-030-30000-5_42 2018 2017