Johannes Haupt remerge.io

Research

Find me on Github and ResearchGate

Haupt, J. & Lessmann, S. (2020).
Targeting Customer under Response-Dependent Costs.
Under Revision.

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, In Press.

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).