Helena Stegherr

According to our database, Helena Stegherr authored at least 15 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

GRAHF: A Hyper-Heuristic Framework for Evolving Heterogeneous Island Model Topologies.

Jonathan Wurth, Helena Stegherr, Michael Heider, Jörg Hähner

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

2023

Discovering Rules for Rule-Based Machine Learning with the Help of Novelty Search.

Michael Heider, Helena Stegherr, David Pätzel, Roman Sraj, Jonathan Wurth, Benedikt Volger, Jörg Hähner

SN Comput. Sci., November, 2023

SupRB in the context of rule-based machine learning methods: A comparative study.

Michael Heider, Helena Stegherr, Roman Sraj, David Pätzel, Jonathan Wurth, Jörg Hähner

Appl. Soft Comput., November, 2023

Assessing Model Requirements for Explainable AI: A Template and Exemplary Case Study.

Michael Heider, Helena Stegherr, Richard Nordsieck, Jörg Hähner

Artif. Life, 2023

Assisting Convergence Behaviour Characterisation with Unsupervised Clustering.

Helena Stegherr, Michael Heider, Jörg Hähner

Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023

Fast, Flexible, and Fearless: A Rust Framework for the Modular Construction of Metaheuristics.

Jonathan Wurth, Helena Stegherr, Michael Heider, Leopold Luley, Jörg Hähner

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022

Classifying Metaheuristics: Towards a unified multi-level classification system.

Helena Stegherr, Michael Heider, Jörg Hähner

Nat. Comput., 2022

Learning Classifier Systems for Self-Explaining Socio-Technical-Systems.

Michael Heider, Helena Stegherr, Richard Nordsieck, Jörg Hähner

CoRR, 2022

Approaches for Rule Discovery in a Learning Classifier System.

Michael Heider, Helena Stegherr, David Pätzel, Roman Sraj, Jonathan Wurth, Benedikt Volger, Jörg Hähner

Proceedings of the 14th International Joint Conference on Computational Intelligence, 2022

Comparing different metaheuristics for model selection in a supervised learning classifier system.

Jonathan Wurth, Michael Heider, Helena Stegherr, Roman Sraj, Jörg Hähner

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Separating rule discovery and global solution composition in a learning classifier system.

Michael Heider, Helena Stegherr, Jonathan Wurth, Roman Sraj, Jörg Hähner

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Investigating the Impact of Independent Rule Fitnesses in a Learning Classifier System.

Michael Heider, Helena Stegherr, Jonathan Wurth, Roman Sraj, Jörg Hähner

Proceedings of the Bioinspired Optimization Methods and Their Applications, 2022

2021

Analysing Metaheuristic Components.

Helena Stegherr, Jörg Hähner

Proceedings of the Joint Proceedings of the LIFELIKE 2020, 2021

Design of large-scale metaheuristic component studies.

Helena Stegherr, Michael Heider, Leopold Luley, Jörg Hähner

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

Metaheuristics for the Minimum Set Cover Problem: A Comparison.

Lukas Rosenbauer, Anthony Stein, Helena Stegherr, Jörg Hähner

Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020