MSL: Multi-class Scoring Lists for Interpretable Incremental Decision-Making
S. Heid, J. Kornowicz, J. Hanselle, K. Thommes, E. Hüllermeier, in: Communications in Computer and Information Science, Springer Nature Switzerland, Cham, 2025.

Learning decision catalogues for situated decision making: The case of scoring systems
S. Heid, J.M. Hanselle, J. Fürnkranz, E. Hüllermeier, International Journal of Approximate Reasoning 171 (2024).

Learning decision catalogues for situated decision making: The case of scoring systems
S. Heid, J.M. Hanselle, J. Fürnkranz, E. Hüllermeier, International Journal of Approximate Reasoning 171 (2024).

Learning decision catalogues for situated decision making: The case of scoring systems
S. Heid, J.M. Hanselle, J. Fürnkranz, E. Hüllermeier, International Journal of Approximate Reasoning 171 (2024).

Human-AI Co-Construction of Interpretable Predictive Models: The Case of Scoring Systems
S. Heid, J. Kornowicz, J.M. Hanselle, E. Hüllermeier, K. Thommes, in: PROCEEDINGS 34. WORKSHOP COMPUTATIONAL INTELLIGENCE, 2024, p. 233.

Comparing Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain
J.M. Hanselle, J. Kornowicz, S. Heid, K. Thommes, E. Hüllermeier, in: M. Leyer, J. Wichmann (Eds.), LWDA’23: Learning, Knowledge, Data, Analysis. , 2023.

Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments
D. Weber, S. Heid, H. Bode, J. Lange, E. Hüllermeier, O. Wallscheid, IEEE Access 9 (2021) 35654–35669.

Towards a Scalable and Flexible Simulation and Testing Environment  Toolbox for Intelligent Microgrid Control
H. Bode, S.H. Heid, D. Weber, E. Hüllermeier, O. Wallscheid, ArXiv:2005.04869 (2020).

Constrained Multi-Agent Optimization with Unbounded Information Delay
S.H. Heid, A. Ramaswamy, E. Hüllermeier, in: Proceedings-30. Workshop Computational Intelligence: Berlin, 26.-27. November 2020, 2020, p. 247.

Reliable Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction
S.H. Heid, M.D. Wever, E. Hüllermeier, Journal of Data Mining and Digital Humanities (n.d.).

OMG: A scalable and flexible simulation and testing environment toolbox for intelligent microgrid control
S. Heid, D. Weber, H. Bode, E. Hüllermeier, O. Wallscheid, Journal of Open Source Software 5 (2020) 2435.

Towards a scalable and flexible simulation and testing environment toolbox for intelligent microgrid control
H. Bode, S. Heid, D. Weber, E. Hüllermeier, O. Wallscheid, ArXiv Preprint ArXiv:2005.04869 (2020).