Bauckhage, Christian

Predicting player churn in the wild

Hadiji, F., Sifa, R., Drachen, A., Thurau, C., Kersting, K., & Bauckhage, C. (2014) · 2014 IEEE Conference on Computational Intelligence and Games

Customer churn and segmentationDigital Games and Media

Cited by 171

Plant Phenotyping using Probabilistic Topic Models: Uncovering the Hyperspectral Language of Plants

Wahabzada, M., Mahlein, A.-K., Bauckhage, C., Steiner, U., Oerke, E.-C., & Kersting, K. (2016) · Scientific Reports

Smart Agriculture and AIRemote Sensing in Agriculture

Cited by 118

Is Reinforcement Learning (Not) for Natural Language Processing?: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization

Ramamurthy, R., Ammanabrolu, P., Brantley, K., Hessel, J., Sifa, R., Bauckhage, C., Hajishirzi, H., & Choi, Y. (2022) · arXiv

Reinforcement Learning in RoboticsNatural Language Processing Techniques

Cited by 56

Adiabatic Quantum Computing for Max-Sum Diversification

Bauckhage, C., Sifa, R., & Wrobel, S. (2020) · Proceedings of the 2020 SIAM International Conference on Data Mining

Quantum Computing Algorithms and ArchitectureComplexity and Algorithms in Graphs

Cited by 13