Kucklick, J.-P. (2023). HIEF: a holistic interpretability and explainability framework. Journal of Decision Systems, 1–41.https://doi.org/10.1080/12460125.2023.2207268 

Kucklick, J.-P. (2022). Visual Interpretability of Image-based Real Estate Appraisal. 55th Annual Hawaii International Conference on System Sciences (HICSS-55). Hawaii International Conference on System Science (HICSS), Virtual.

Heuwinkel, T., Kucklick, J.-P., &; Müller, O. (2022). Using Geolocated Text to Quantify Location in Real Estate Appraisal. 55th Annual Hawaii International Conference on System Sciences (HICSS-55). Hawaii International Conference on System Science (HICSS), Virtual.

Kucklick, J.-P. (2022). Towards a model- and data-focused taxonomy of XAI systems. Wirtschaftsinformatik 2022 Proceedings. Wirtschaftsinformatik 2022 (W), Nürnberg (online).

Kucklick, J.-P., &; Müller, O. (2022). Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning Models for Satellite Image-based Real Estate Appraisal. ACM Transactions on Management Information Systems.https://doi.org/10.1145/3567430 

Kucklick, J.-P., &; Müller, O. (2021). 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.

Kucklick, J.-P., Müller, J., Beverungen, D., &; Müller, O. (2021). Quantifying the Impact of Location Data for Real Estate Appraisal – A GIS-based Deep Learning Approach. In European Conference on Information Systems. Virtual.

Kucklick, J.-P., &; Müller, O. (2020). Location, location, location: Satellite image-based real-estate  appraisal. In Symposium on Statistical Challenges in Electronic Commerce Research (SCECR).

Kucklick, J.-P., Kamm, M. R., Schneider, J., &; vom Brocke, J. (2020). Extending Loyalty Programs with BI Functionalities A Case Study for Brick-and-Mortar Stores. Proceedings of the 53rd Hawaii International Conference on System Sciences. 53th Annual Hawaii International Conference on System Sciences (HICSS-53).

Kamm, M. R., Kucklick, J.-P., Schneider, J., &; vom Brocke, J. (2020). Data mining for small shops: Empowering brick-and-mortar stores through BI functionalities of a loyalty program1. Information Systems Management, 38(4), 270–286.https://doi.org/10.1080/10580530.2020.1855486