Next Place Prediction: A Systematic Literature Review. - Christian Schreckenberger; Simon Beckmann; Christian Bartelt (PredictGIS@SIGSPATIAL, 2018)

Enhancing a Crowd-based Delivery Network with Mobility Predictions. - Christian Schreckenberger; Christian Bartelt; Heiner Stuckenschmidt (PredictGIS@SIGSPATIAL, 2019)

iDropout: Leveraging Deep Taylor Decomposition for the Robustness of Deep Neural Networks. - Christian Schreckenberger; Christian Bartelt; Heiner Stuckenschmidt (OTM Conferences, 2019)

Robust Decision Tree Induction from Unreliable Data Sources. - Christian Schreckenberger; Christian Bartelt; Heiner Stuckenschmidt (STAIRS@ECAI, 2020)

Restructuring of Hoeffding Trees for Trapezoidal Data Streams. - Christian Schreckenberger; Tim Glockner; Heiner Stuckenschmidt; Christian Bartelt (ICDM (Workshops), 2020)

Dynamic Forest for Learning from Data Streams with Varying Feature Spaces. - Christian Schreckenberger; Christian Bartelt; Heiner Stuckenschmidt (CoopIS, 2022)

Online Random Feature Forests for Learning in Varying Feature Spaces. - Christian Schreckenberger; Yi He 007; Stefan Lüdtke; Christian Bartelt; Heiner Stuckenschmidt (AAAI, 2023)

Towards Utilitarian Online Learning - A Review of Online Algorithms in Open Feature Space. - Yi He 007; Christian Schreckenberger; Heiner Stuckenschmidt; Xindong Wu 001 (IJCAI, 2023)