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73 Publications
2023 | Conference Paper | LibreCat-ID: 50437
R. Reimann and M. Caron, “Analyzing the Needs of Ukrainian Refugees on Telegram in Real-Time: A Machine Learning Approach,” presented at the Wirtschaftsinformatik, Paderborn, Germany, 2023.
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2023 | Conference Paper | LibreCat-ID: 37058
K. Brennig and O. Müller, “More Isn’t Always Better – Measuring Customers’ Preferences for Digital Process Transparency,” presented at the 56th Hawaii International Conference on System Sciences, Lāhainā, 2023.
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2023 | Journal Article | LibreCat-ID: 45299
J.-P. Kucklick, “HIEF: a holistic interpretability and explainability framework,” Journal of Decision Systems, pp. 1–41, 2023, doi: 10.1080/12460125.2023.2207268.
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2023 | Conference Paper | LibreCat-ID: 50459
J. Brock et al., “A Process Mining Maturity Model: Enabling Organizations to Assess and Improve their Process Mining Activities,” 2023.
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2023 | Journal Article | LibreCat-ID: 45112
D. Beverungen et al., “Digital Responsibility – a Multilevel Framework for Responsible Digitalization,” Business & Information Systems Engineering, vol. 65, no. 4, pp. 463–474, 2023, doi: 10.1007/s12599-023-00822-x.
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2022 | Conference Paper | LibreCat-ID: 27506 |
J.-P. Kucklick, “Visual Interpretability of Image-based Real Estate Appraisal,” presented at the Hawaii International Conference on System Science (HICSS), Virtual, 2022.
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2022 | Conference Paper | LibreCat-ID: 29539 |
J.-P. Kucklick, “Towards a model- and data-focused taxonomy of XAI systems,” presented at the Wirtschaftsinformatik 2022 (WI22), Nürnberg (online), 2022.
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2022 | Journal Article | LibreCat-ID: 32866
A. Shollo, K. Hopf, T. Thiess, and O. Müller, “Shifting ML value creation mechanisms: A process model of ML value creation,” The Journal of Strategic Information Systems, vol. 31, no. 3, Art. no. 101734, 2022, doi: 10.1016/j.jsis.2022.101734.
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2022 | Journal Article | LibreCat-ID: 35620
J.-P. Kucklick and O. Müller, “Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning Models for Satellite Image-based Real Estate Appraisal,” ACM Transactions on Management Information Systems, 2022, doi: 10.1145/3567430.
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2022 | Conference Paper | LibreCat-ID: 36912
B. Löhr, K. Brennig, C. Bartelheimer, D. Beverungen, and O. Müller, “Process Mining of Knowledge-Intensive Processes: An Action Design Research Study in Manufacturing,” 2022, doi: 10.1007/978-3-031-16103-2_18.
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2022 | Conference Paper | LibreCat-ID: 42631
M. Caron, “Shortcut Learning in Financial Text Mining: Exposing the Overly Optimistic Performance Estimates of Text Classification Models under Distribution Shift,” presented at the 2022 IEEE International Conference on Big Data (Big Data), Osaka, Japan, 2022, doi: 10.1109/bigdata55660.2022.10020933.
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2022 | Conference Paper | LibreCat-ID: 25113
M. Caron, F. S. Bäumer, and O. Müller, “Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models,” presented at the 55th Hawaii International Conference on System Sciences (HICSS), Online, 2022.
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2021 | Conference Paper | LibreCat-ID: 21204 |
J.-P. Kucklick and O. Müller, “A Comparison of Multi-View Learning Strategies for Satellite Image-based Real Estate Appraisal,” in The AAAI-21 Workshop on Knowledge Discovery from Unstructured Data in Financial Services, 2021.
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2021 | Conference Paper | LibreCat-ID: 22514 |
J.-P. Kucklick, J. Müller, D. Beverungen, and O. Müller, “Quantifying the Impact of Location Data for Real Estate Appraisal – A GIS-based Deep Learning Approach,” in European Conference on Information Systems, Virtual, 2021.
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2021 | Conference Paper | LibreCat-ID: 26812 |
D. Leffrang and O. Müller, “Should I Follow this Model? The Effect of Uncertainty Visualization on the Acceptance of Time Series Forecasts,” presented at the 2021 IEEE Visualization conference, 2021, doi: 10.1109/TREX53765.2021.00009.
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2021 | Conference Paper | LibreCat-ID: 24547
O. Müller, M. Caron, M. Döring, T. Heuwinkel, and J. Baumeister, “PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking Data,” presented at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML PKDD 2021), Online.
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2021 | Conference Paper | LibreCat-ID: 25029
M. Caron, M. Gulenko, and O. Müller, “To the Moon! Analyzing the Community of ‘Degenerates’ Engaged in the Surge of the GME Stock,” presented at the 42nd International Conference on Information Systems (ICIS 2021), Austin, Texas, 2021.
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