Robot gardens: an augmented reality prototype for plant-robot biohybrid systems. - Sebastian von Mammen; Heiko Hamann; Michael Heider (VRST, 2016)

Increasing Reliability in FDM Manufacturing. - Michael Heider (GI-Jahrestagung (Workshops), 2019)

Towards Automated Parameter Optimisation of Machinery by Persisting Expert Knowledge. - Richard Nordsieck; Michael Heider; Andreas Angerer; Jörg Hähner (ICINCO (1), 2019)

Evaluating the Effect of User-Given Guiding Attention on the Learning Process. - Richard Nordsieck; Michael Heider; Andreas Angerer; Jörg Hähner (ACSOS, 2020)

Towards a Pittsburgh-style LCS for learning manufacturing machinery parametrizations. - Michael Heider; David Pätzel; Jörg Hähner (GECCO Companion, 2020)

SupRB: A Supervised Rule-based Learning System for Continuous Problems. - Michael Heider; David Pätzel; Jörg Hähner (CoRR, 2020)

An overview of LCS research from 2020 to 2021. - David Pätzel; Michael Heider; Alexander R. M. Wagner (GECCO Companion, 2021)

Design of large-scale metaheuristic component studies. - Helena Stegherr; Michael Heider; Leopold Luley; Jörg Hähner (GECCO Companion, 2021)

CAD-based Grasp and Motion Planning for Process Automation in Fused Deposition Modelling. - Andreas Wiedholz; Michael Heider; Richard Nordsieck; Andreas Angerer; Simon Dietrich; Jörg Hähner (ICINCO, 2021)

Learning Classifier Systems for Self-Explaining Socio-Technical-Systems. - Michael Heider; Richard Nordsieck; Jörg Hähner (LIFELIKE, 2021)

Knowledge Extraction via Decentralized Knowledge Graph Aggregation. - Richard Nordsieck; Michael Heider; Anton Winschel; Jörg Hähner (ICSC, 2021)

Investigating the Impact of Independent Rule Fitnesses in a Learning Classifier System. - Michael Heider; Helena Stegherr; Jonathan Wurth; Roman Sraj; Jörg Hähner (BIOMA, 2022)

An overview of LCS research from 2021 to 2022. - Michael Heider; David Pätzel; Alexander R. M. Wagner (GECCO Companion, 2022)

Separating rule discovery and global solution composition in a learning classifier system. - Michael Heider; Helena Stegherr; Jonathan Wurth; Roman Sraj; Jörg Hähner (GECCO Companion, 2022)

Comparing different metaheuristics for model selection in a supervised learning classifier system. - Jonathan Wurth; Michael Heider; Helena Stegherr; Roman Sraj; Jörg Hähner (GECCO Companion, 2022)

Approaches for Rule Discovery in a Learning Classifier System. - Michael Heider; Helena Stegherr; David Pätzel; Roman Sraj; Jonathan Wurth; Benedikt Volger; Jörg Hähner (IJCCI, 2022)

Reliability-Based Aggregation of Heterogeneous Knowledge to Assist Operators in Manufacturing. - Richard Nordsieck; Michael Heider; Alwin Hoffmann; Jörg Hähner (ICSC, 2022)

Towards Models of Conceptual and Procedural Operator Knowledge. - Richard Nordsieck; Michael Heider; Anton Hummel; Alwin Hoffmann; Jörg Hähner (SemIIM, 2022)

A Closer Look at Sum-based Embeddings for Knowledge Graphs Containing Procedural Knowledge. - Richard Nordsieck; Michael Heider; Anton Hummel; Jörg Hähner (DL4KG@ISWC, 2022)

Learning Classifier Systems for Self-Explaining Socio-Technical-Systems. - Michael Heider; Helena Stegherr; Richard Nordsieck; Jörg Hähner (CoRR, 2022)

Classifying Metaheuristics: Towards a unified multi-level classification system. - Helena Stegherr; Michael Heider; Jörg Hähner (Nat. Comput., 2022)

A Decision-Theoretic Approach for Prioritizing Maintenance Activities in Organic Computing Systems. - Markus Görlich-Bucher; Michael Heider; Tobias Ciemala; Jörg Hähner (ARCS, 2023)

Predicting Physical Disturbances in Organic Computing Systems Using Automated Machine Learning. - Markus Görlich-Bucher; Michael Heider; Jörg Hähner (ARCS, 2023)

On Data-Preprocessing for Effective Predictive Maintenance on Multi-Purpose Machines. - Lukas Meitz; Michael Heider; Thorsten Schöler; Jörg Hähner (DATA, 2023)

Towards Principled Synthetic Benchmarks for Explainable Rule Set Learning Algorithms. - David Pätzel; Michael Heider; Jörg Hähner (GECCO Companion, 2023)

Fast, Flexible, and Fearless: A Rust Framework for the Modular Construction of Metaheuristics. - Jonathan Wurth; Helena Stegherr; Michael Heider; Leopold Luley; Jörg Hähner (GECCO Companion, 2023)

Towards Understanding Crossover for Cartesian Genetic Programming. - Henning Cui; Andreas Margraf; Michael Heider; Jörg Hähner (IJCCI, 2023)

Assisting Convergence Behaviour Characterisation with Unsupervised Clustering. - Helena Stegherr; Michael Heider; Jörg Hähner (IJCCI, 2023)

Assessing Model Requirements for Explainable AI: A Template and Exemplary Case Study. - Michael Heider; Helena Stegherr; Richard Nordsieck; Jörg Hähner (Artif. Life, 2023)

PDPK: A Framework to Synthesise Process Data and Corresponding Procedural Knowledge for Manufacturing. - Richard Nordsieck; André Schweizer; Michael Heider; Jörg Hähner (CoRR, 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., 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., 2023)

Exploring Self-Adaptive Genetic Algorithms to Combine Compact Sets of Rules. - Michael Heider; Maximilian Krischan; Roman Sraj; Jörg Hähner (CEC, 2024)

A Survey on Learning Classifier Systems from 2022 to 2024. - Abubakar Siddique; Michael Heider; Muhammad Iqbal 001; Hiroki Shiraishi (GECCO Companion, 2024)

GRAHF: A Hyper-Heuristic Framework for Evolving Heterogeneous Island Model Topologies. - Jonathan Wurth; Helena Stegherr; Michael Heider; Jörg Hähner (GECCO, 2024)

A Taxonomy for Complexity Estimation of Machine Data in Machine Health Applications. - Lukas Meitz; Michael Heider; Thorsten Schöler; Jörg Hähner (ICINCO (1), 2024)

Positional Bias Does Not Influence Cartesian Genetic Programming with Crossover. - Henning Cui; Michael Heider; Jörg Hähner (PPSN (1), 2024)

Ant-Based Metaheuristics Struggle to Solve the Cartesian Genetic Programming Learning Task. - Julian Trautwein; Michael Heider; Henning Cui; Jörg Hähner (EuroGP, 2025)