Publications › Assistant Professorship for Data Analytics

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
In: Computers & Industrial Engineering 177 (2023), Article No.: 109045
ISSN: 0360-8352
DOI: 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
In: Finance Research Letters 47 (2022), p. 102776
ISSN: 1544-6123
DOI: 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
In: Social Science Research Network (2022)
DOI: 10.2139/ssrn.3998435
(Working Paper)
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
Open Access: https://aisel.aisnet.org/wi2022/student_track/student_track/33/
URL: 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
URL: https://aclanthology.org/2022.emnlp-main.159
Hübel B., Scholz H., Webersinke N.:
Permutation Tests for Stock Index Performance: Evidence from ESG Indices
(2022)
DOI: 10.2139/ssrn.3528309
(Working Paper)
Lorenz R., Kraus M., Wolf H., Feuerriegel S., Netland TH.:
Selecting advanced analytics in manufacturing: a decision support model
In: Production Planning & Control (2022)
ISSN: 0953-7287
DOI: 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
Open Access: https://www.climatechange.ai/papers/aaaifss2022/12
URL: 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
In: Diabetes Technology & Therapeutics (2022)
ISSN: 1520-9156
DOI: 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
In: Social Science Research Network (2021)
ISSN: 1556-5068
DOI: 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
DOI: 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
DOI: 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)
In: Journal of Clinical Medicine 10 (2021), Article No.: 4486
ISSN: 2077-0383
DOI: 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
DOI: 10.1145/3394486.3403317
Kraus M., Feuerriegel S., Oztekin A.:
Deep learning in business analytics and operations research: Models, applications and managerial implications
In: European Journal of Operational Research 281 (2020), p. 628-641
ISSN: 0377-2217
DOI: 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
DOI: 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
In: Diabetes Research and Clinical Practice 168 (2020), Article No.: 108392
ISSN: 0168-8227
DOI: 10.1016/j.diabres.2020.108392

2019

Kraus M., Feuerriegel S.:
Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences
In: Decision Support Systems 125 (2019), Article No.: 113100
ISSN: 0167-9236
DOI: 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
DOI: 10.1145/3292500.3330791
Kraus M., Feuerriegel S.:
Sentiment analysis based on rhetorical structure theory:Learning deep neural networks from discourse trees
In: Expert Systems With Applications 118 (2019), p. 65-79
ISSN: 0957-4174
DOI: 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
DOI: 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
DOI: 10.1007/978-3-030-30000-5_42

2018

Kratzwald B., Ilic S., Kraus M., Feuerriegel S., Prendinger H.:
Deep learning for affective computing: Text-based emotion recognition in decision support
In: Decision Support Systems 115 (2018), p. 24-35
ISSN: 0167-9236
DOI: 10.1016/j.dss.2018.09.002

2017

Kraus M., Feuerriegel S.:
Decision support from financial disclosures with deep neural networks and transfer learning
In: Decision Support Systems 104 (2017), p. 38-48
ISSN: 0167-9236
DOI: 10.1016/j.dss.2017.10.001