Improving Boosted Generalized Additive Models with Random Forests: A Zoo Visitor Case Study for Smart Tourism. - Fabian Obster; Josephine Brand; Monica Ciolacu; Andreas Humpe (ISM, 2022)

Factors other than climate change are currently more important in predicting how well fruit farms are doing financially. - Fabian Obster; Heidi Bohle; Paul M. Pechan (CoRR, 2023)

Using interpretable boosting algorithms for modeling environmental and agricultural data. - Fabian Obster; Christian Heumann; Heidi Bohle; Paul M. Pechan (CoRR, 2023)

Balancing Predictive Performance and Interpretability in Machine Learning: A Scoring System and an Empirical Study in Traffic Prediction. - Fabian Obster; Monica Ionita Ciolacu; Andreas Humpe (IEEE Access, 2024)