J.-P. Kucklick, “HIEF: a holistic interpretability and explainability framework,”10.1080/12460125.2023.2207268__Journal of Decision Systems, pp. 1–41, 2023, doi:10.1080/12460125.2023.2207268 .
LibreCat: /record/45299
DOI: 10.1080/12460125.2023.2207268

J.-P. Kucklick, “Visual Interpretability of Image-based Real Estate Appraisal,” presented at the Hawaii International Conference on System Science (HICSS), Virtual, 2022.
LibreCat: /record/27506

T. Heuwinkel, J.-P. Kucklick, and O. Müller, “Using Geolocated Text to Quantify Location in Real Estate Appraisal,” presented at the Hawaii International Conference on System Science (HICSS), Virtual, 2022.
LibreCat: /record/27507

J.-P. Kucklick, “Towards a model- and data-focused taxonomy of XAI systems,” presented at the Wirtschaftsinformatik 2022 (W), Nürnberg (online), 2022.
LibreCat: /record/29539

J.-P. Kucklick and O. Müller, “Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning Models for Satellite Image-based Real Estate Appraisal,”10.1145/3567430__ACM Transactions on Management Information Systems, 2022, doi:10.1145/3567430 .
LibreCat: /record/35620
DOI: 10.1145/3567430

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: /record/21204

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: /record/22514

J.-P. Kucklick and O. Müller, “Location, location, location: Satellite image-based real-estate  appraisal,” in Symposium on Statistical Challenges in Electronic Commerce Research (SCECR), 2020.
LibreCat: /record/17348
arXiv: 2006.11406

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: /record/35660

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,”10.1080/10580530.2020.1855486__Information Systems Management, vol. 38, no. 4, pp. 270–286, 2020, doi:10.1080/10580530.2020.1855486 .
LibreCat: /record/35662
DOI: 10.1080/10580530.2020.1855486