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Haupt, J. & Lessmann, S. (2022). Targeting Customer under Response-Dependent Costs. European Journal of Operational Research, 297(1), 369–379.
Haupt, J., Jacob, D., Gubela, R., & Lessmann, S. (2019). Affordable Uplift: Supervised Randomization in Controlled Experiments. Proceedings of the International Conference on Information Systems 2019.
Lessmann, S., Haupt, J., Coussement, K., & De Bock, K. W. (2019). Targeting customers for profit: An ensemble learning framework to support marketing decision making. Information Sciences, 557, 286-301.
Baumann, A., Haupt, J., Gebert, F., & Lessmann, S. (2019). The price of privacy: An evaluation of the economic value of collecting clickstream data. Business & Information Systems Engineering, 61(4), 413–431.
Haupt, J., Bender, B., Fabian, B., & Lessmann, S. (2018). Robust identification of email tracking: A machine learning approach. European Journal of Operational Research, 271(1), 341–356.
Baumann, A., Haupt, J., Gebert, F., & Lessmann, S. (2018). Changing perspectives: Using graph metrics to predict purchase probabilities. Expert Systems with Applications, 94, 137–148.
Bender, B., Fabian, B., Haupt, J., Lessmann, S., Neumann, T., & Thim, C. (2018). Track and Treat—Usage of E-Mail Tracking for Newsletter Individualization. Proceedings of the 26th European Conference on Information Systems (ECIS).
Gubela, R. M., Lessmann, S., Haupt, J., Baumann, A., Radmer, T., & Gebert, F. (2017). Revenue Uplift Modeling. Proceedings of the 38th International Conference on Information Systems (ICIS).
Bender, B., Fabian, B., Lessmann, S., & Haupt, J. (2016). E-Mail Tracking: Status Quo and Novel Countermeasures. Proceedings of the 37th International Conference on Information Systems (ICIS).