Please note that LibreCat no longer supports Internet Explorer versions 8 or 9 (or earlier).
We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.
116 Publications
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.
LibreCat
| Files available
| DOI
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.
LibreCat
| DOI
| Download (ext.)
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.
LibreCat
| DOI
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.
LibreCat
| DOI
| Download (ext.)
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.
LibreCat
| Download (ext.)
2022 | Conference Paper | LibreCat-ID: 41486
M. Caron, C. Bartelheimer, and O. Müller, “Towards a Reliable & Transparent Approach to Data-Driven Brand Valuation,” presented at the 28th Americas Conference on Information Systems (AMCIS), Minneapolis, USA, 2022.
LibreCat
| Download (ext.)
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.
LibreCat
| Download (ext.)
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.
LibreCat
| Download (ext.)
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.
LibreCat
| DOI
| Download (ext.)
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.
LibreCat
| Download (ext.)
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.
LibreCat
| Download (ext.)
2020 | Conference Paper | LibreCat-ID: 17095
R. Grytz, A. Krohn-Grimberghe, and O. Müller, “Business Intelligence & Analytics Cost Accounting: An Action Design Research Approach,” 2020.
LibreCat
| Download (ext.)
2020 | Conference Paper | LibreCat-ID: 35660
J.-P. Kucklick, M. R. Kamm, J. Schneider, and J. vom Brocke, “Extending Loyalty Programs with BI Functionalities A Case Study for Brick-and-Mortar Stores,” presented at the 53th Annual Hawaii International Conference on System Sciences (HICSS-53), 2020.
LibreCat
| Download (ext.)
2020 | Journal Article | LibreCat-ID: 35662
M. R. Kamm, J.-P. Kucklick, J. Schneider, and J. vom Brocke, “Data mining for small shops: Empowering brick-and-mortar stores through BI functionalities of a loyalty program1,” Information Systems Management, vol. 38, no. 4, pp. 270–286, 2020, doi: 10.1080/10580530.2020.1855486.
LibreCat
| DOI
| Download (ext.)
2020 | Conference Paper | LibreCat-ID: 21563
M. Caron and O. Müller, “Hardening Soft Information: A Transformer-Based Approach to Forecasting Stock Return Volatility,” in 2020 IEEE International Conference on Big Data (Big Data), Online, 2020, pp. 4383–4391, doi: 10.1109/BigData50022.2020.9378134.
LibreCat
| DOI
| Download (ext.)