Kucklick, Jan-Peter. “HIEF: A Holistic Interpretability and Explainability Framework.”10.1080/12460125.2023.2207268__Journal of Decision Systems, Taylor &; Francis, 2023, pp. 1–41, doi:10.1080/12460125.2023.2207268.
LibreCat: /record/45299
DOI: 10.1080/12460125.2023.2207268

Kucklick, Jan-Peter. “Visual Interpretability of Image-Based Real Estate Appraisal.” 55th Annual Hawaii International Conference on System Sciences (HICSS-55), 2022.
LibreCat: /record/27506

Heuwinkel, Tim, et al. “Using Geolocated Text to Quantify Location in Real Estate Appraisal.” 55th Annual Hawaii International Conference on System Sciences (HICSS-55), 2022.
LibreCat: /record/27507

Kucklick, Jan-Peter. “Towards a Model- and Data-Focused Taxonomy of XAI Systems.” Wirtschaftsinformatik 2022 Proceedings, 2022.
LibreCat: /record/29539

Kucklick, Jan-Peter, and Oliver 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, Association for Computing Machinery (ACM), 2022, doi:10.1145/3567430.
LibreCat: /record/35620
DOI: 10.1145/3567430

Kucklick, Jan-Peter, and Oliver Müller. “A Comparison of Multi-View Learning Strategies for Satellite Image-Based Real Estate Appraisal.”  The AAAI-21 Workshop on Knowledge Discovery from Unstructured Data in Financial Services, 2021.
LibreCat: /record/21204

Kucklick, Jan-Peter, et al. “Quantifying the Impact of Location Data for Real Estate Appraisal – A GIS-Based Deep Learning Approach.” European Conference on Information Systems, 2021.
LibreCat: /record/22514

Kucklick, Jan-Peter, and Oliver Müller. “Location, Location, Location: Satellite Image-Based Real-Estate  Appraisal.” Symposium on Statistical Challenges in Electronic Commerce Research (SCECR), 2020.
LibreCat: /record/17348
arXiv: 2006.11406

Kucklick, Jan-Peter, et al. “Extending Loyalty Programs with BI Functionalities A Case Study for Brick-and-Mortar Stores.” Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020.
LibreCat: /record/35660

Kamm, Michael Reiner, et al. “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, Informa UK Limited, 2020, pp. 270–86, doi:10.1080/10580530.2020.1855486.
LibreCat: /record/35662
DOI: 10.1080/10580530.2020.1855486