Michael Heider

46 papers A 1B 3C 6Journal 11Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Assessing stakeholder perspectives on the explainability of AI solutions for smart production planning with just-in-time logistics. Expert Syst. Appl. Michael Heider, Marcus Albrecht, Johannes Schilp, Jörg Hähner
2026	J	`jnl`	Pareto-Optimal Anytime Algorithms via Bayesian Racing. CoRR Jonathan Wurth, Helena Stegherr, Neele Kemper, Michael Heider, Jörg Hähner
2025	—	`conf`	A Comparison of Dimensionality Reduction Techniques for Visualising Search Behaviour. GECCO Companion Helena Stegherr, Michael Heider, Jonathan Wurth, Jörg Hähner
2025	B	`conf`	Ant-Based Metaheuristics Struggle to Solve the Cartesian Genetic Programming Learning Task. EuroGP Julian Trautwein, Michael Heider, Henning Cui, Jörg Hähner
2025	—	`—`	Disentangling the model selection tasks for improved explainability in a rule-based machine learning system. Michael Heider
2025	—	`conf`	Evaluating Adaptive Systems: A Comparative Study of XCS and Established Reinforcement Learning Algorithms in Noisy Multi-step Environments. ARCS Marco Steinberger, Roman Küble, Michael Heider, Jörg Hähner
2025	—	`conf`	How to Design an LCS to Create Explainable AI Models for Real-World Applications. GECCO Companion Michael Heider
2024	—	`conf`	A Survey on Learning Classifier Systems from 2022 to 2024. GECCO Companion Abubakar Siddique, Michael Heider, Muhammad Iqbal, Hiroki Shiraishi
2024	C	`conf`	A Taxonomy for Complexity Estimation of Machine Data in Machine Health Applications. ICINCO (1) Lukas Meitz, Michael Heider, Thorsten Schöler, Jörg Hähner
2024	B	`conf`	Exploring Self-Adaptive Genetic Algorithms to Combine Compact Sets of Rules. CEC Michael Heider, Maximilian Krischan, Roman Sraj, Jörg Hähner
2024	A	`conf`	GRAHF: A Hyper-Heuristic Framework for Evolving Heterogeneous Island Model Topologies. GECCO Jonathan Wurth, Helena Stegherr, Michael Heider, Jörg Hähner
2024	—	`conf`	Positional Bias Does Not Influence Cartesian Genetic Programming with Crossover. PPSN (1) Henning Cui, Michael Heider, Jörg Hähner
2023	—	`conf`	A Decision-Theoretic Approach for Prioritizing Maintenance Activities in Organic Computing Systems. ARCS Markus Görlich-Bucher, Michael Heider, Tobias Ciemala, Jörg Hähner
2023	J	`jnl`	Assessing Model Requirements for Explainable AI: A Template and Exemplary Case Study. Artif. Life Michael Heider, Helena Stegherr, Richard Nordsieck, Jörg Hähner
2023	C	`conf`	Assisting Convergence Behaviour Characterisation with Unsupervised Clustering. IJCCI Helena Stegherr, Michael Heider, Jörg Hähner
2023	J	`jnl`	Discovering Rules for Rule-Based Machine Learning with the Help of Novelty Search. SN Comput. Sci. Michael Heider, Helena Stegherr, David Pätzel, Roman Sraj, Jonathan Wurth, Benedikt Volger, Jörg Hähner
2023	—	`conf`	Fast, Flexible, and Fearless: A Rust Framework for the Modular Construction of Metaheuristics. GECCO Companion Jonathan Wurth, Helena Stegherr, Michael Heider, Leopold Luley, Jörg Hähner
2023	C	`conf`	On Data-Preprocessing for Effective Predictive Maintenance on Multi-Purpose Machines. DATA Lukas Meitz, Michael Heider, Thorsten Schöler, Jörg Hähner
2023	J	`jnl`	PDPK: A Framework to Synthesise Process Data and Corresponding Procedural Knowledge for Manufacturing. CoRR Richard Nordsieck, André Schweizer, Michael Heider, Jörg Hähner
2023	—	`conf`	Predicting Physical Disturbances in Organic Computing Systems Using Automated Machine Learning. ARCS Markus Görlich-Bucher, Michael Heider, Jörg Hähner
2023	J	`jnl`	SupRB in the context of rule-based machine learning methods: A comparative study. Appl. Soft Comput. Michael Heider, Helena Stegherr, Roman Sraj, David Pätzel, Jonathan Wurth, Jörg Hähner
2023	—	`conf`	Towards Principled Synthetic Benchmarks for Explainable Rule Set Learning Algorithms. GECCO Companion David Pätzel, Michael Heider, Jörg Hähner
2023	C	`conf`	Towards Understanding Crossover for Cartesian Genetic Programming. IJCCI Henning Cui, Andreas Margraf, Michael Heider, Jörg Hähner
2022	—	`conf`	A Closer Look at Sum-based Embeddings for Knowledge Graphs Containing Procedural Knowledge. DL4KG@ISWC Richard Nordsieck, Michael Heider, Anton Hummel, Jörg Hähner
2022	—	`conf`	An overview of LCS research from 2021 to 2022. GECCO Companion Michael Heider, David Pätzel, Alexander R. M. Wagner
2022	C	`conf`	Approaches for Rule Discovery in a Learning Classifier System. IJCCI Michael Heider, Helena Stegherr, David Pätzel, Roman Sraj, Jonathan Wurth, Benedikt Volger, Jörg Hähner
2022	J	`jnl`	Classifying Metaheuristics: Towards a unified multi-level classification system. Nat. Comput. Helena Stegherr, Michael Heider, Jörg Hähner
2022	—	`conf`	Comparing different metaheuristics for model selection in a supervised learning classifier system. GECCO Companion Jonathan Wurth, Michael Heider, Helena Stegherr, Roman Sraj, Jörg Hähner
2022	—	`conf`	Investigating the Impact of Independent Rule Fitnesses in a Learning Classifier System. BIOMA Michael Heider, Helena Stegherr, Jonathan Wurth, Roman Sraj, Jörg Hähner
2022	J	`jnl`	Investigating the Impact of Independent Rule Fitnesses in a Learning Classifier System. CoRR Michael Heider, Helena Stegherr, Jonathan Wurth, Roman Sraj, Jörg Hähner
2022	J	`jnl`	Learning Classifier Systems for Self-Explaining Socio-Technical-Systems. CoRR Michael Heider, Helena Stegherr, Richard Nordsieck, Jörg Hähner
2022	—	`conf`	Reliability-Based Aggregation of Heterogeneous Knowledge to Assist Operators in Manufacturing. ICSC Richard Nordsieck, Michael Heider, Alwin Hoffmann, Jörg Hähner
2022	J	`jnl`	Separating Rule Discovery and Global Solution Composition in a Learning Classifier System. CoRR Michael Heider, Helena Stegherr, Jonathan Wurth, Roman Sraj, Jörg Hähner
2022	—	`conf`	Separating rule discovery and global solution composition in a learning classifier system. GECCO Companion Michael Heider, Helena Stegherr, Jonathan Wurth, Roman Sraj, Jörg Hähner
2022	—	`conf`	Towards Models of Conceptual and Procedural Operator Knowledge. SemIIM Richard Nordsieck, Michael Heider, Anton Hummel, Alwin Hoffmann, Jörg Hähner
2021	—	`conf`	An overview of LCS research from 2020 to 2021. GECCO Companion David Pätzel, Michael Heider, Alexander R. M. Wagner
2021	C	`conf`	CAD-based Grasp and Motion Planning for Process Automation in Fused Deposition Modelling. ICINCO Andreas Wiedholz, Michael Heider, Richard Nordsieck, Andreas Angerer, Simon Dietrich, Jörg Hähner
2021	—	`conf`	Design of large-scale metaheuristic component studies. GECCO Companion Helena Stegherr, Michael Heider, Leopold Luley, Jörg Hähner
2021	—	`conf`	Knowledge Extraction via Decentralized Knowledge Graph Aggregation. ICSC Richard Nordsieck, Michael Heider, Anton Winschel, Jörg Hähner
2021	—	`conf`	Learning Classifier Systems for Self-Explaining Socio-Technical-Systems. LIFELIKE Michael Heider, Richard Nordsieck, Jörg Hähner
2020	—	`conf`	Evaluating the Effect of User-Given Guiding Attention on the Learning Process. ACSOS Richard Nordsieck, Michael Heider, Andreas Angerer, Jörg Hähner
2020	J	`jnl`	SupRB: A Supervised Rule-based Learning System for Continuous Problems. CoRR Michael Heider, David Pätzel, Jörg Hähner
2020	—	`conf`	Towards a Pittsburgh-style LCS for learning manufacturing machinery parametrizations. GECCO Companion Michael Heider, David Pätzel, Jörg Hähner
2019	—	`conf`	Increasing Reliability in FDM Manufacturing. GI-Jahrestagung (Workshops) Michael Heider
2019	—	`conf`	Towards Automated Parameter Optimisation of Machinery by Persisting Expert Knowledge. ICINCO (1) Richard Nordsieck, Michael Heider, Andreas Angerer, Jörg Hähner
2016	B	`conf`	Robot gardens: an augmented reality prototype for plant-robot biohybrid systems. VRST Sebastian von Mammen, Heiko Hamann, Michael Heider