Michael Heider

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 37

Top Topics

Procedural Knowledge

Learning Classifier Systems

Top Venues

GECCO Companion

Publications

Michael Heider, Maximilian Krischan, Roman Sraj, Jörg Hähner
Exploring Self-Adaptive Genetic Algorithms to Combine Compact Sets of Rules. CEC (2024)
Jonathan Wurth, Helena Stegherr, Michael Heider, Jörg Hähner
GRAHF: A Hyper-Heuristic Framework for Evolving Heterogeneous Island Model Topologies. GECCO (2024)
Abubakar Siddique, Michael Heider, Muhammad Iqbal, Hiroki Shiraishi
A Survey on Learning Classifier Systems from 2022 to 2024. GECCO Companion (2024)
Markus Görlich-Bucher, Michael Heider, Tobias Ciemala, Jörg Hähner
A Decision-Theoretic Approach for Prioritizing Maintenance Activities in Organic Computing Systems. ARCS (2023)
David Pätzel, Michael Heider, Jörg Hähner
Towards Principled Synthetic Benchmarks for Explainable Rule Set Learning Algorithms. GECCO Companion (2023)
Helena Stegherr, Michael Heider, Jörg Hähner
Assisting Convergence Behaviour Characterisation with Unsupervised Clustering. IJCCI (2023)
Lukas Meitz, Michael Heider, Thorsten Schöler, Jörg Hähner
On Data-Preprocessing for Effective Predictive Maintenance on Multi-Purpose Machines. DATA (2023)
Jonathan Wurth, Helena Stegherr, Michael Heider, Leopold Luley, Jörg Hähner
Fast, Flexible, and Fearless: A Rust Framework for the Modular Construction of Metaheuristics. GECCO Companion (2023)
Markus Görlich-Bucher, Michael Heider, Jörg Hähner
Predicting Physical Disturbances in Organic Computing Systems Using Automated Machine Learning. ARCS (2023)
Michael Heider, Helena Stegherr, Roman Sraj, David Pätzel, Jonathan Wurth, Jörg Hähner
SupRB in the context of rule-based machine learning methods: A comparative study. Appl. Soft Comput. 147 (2023)
Henning Cui, Andreas Margraf, Michael Heider, Jörg Hähner
Towards Understanding Crossover for Cartesian Genetic Programming. IJCCI (2023)
Michael Heider, Helena Stegherr, David Pätzel, Roman Sraj, Jonathan Wurth, Benedikt Volger, Jörg Hähner
Discovering Rules for Rule-Based Machine Learning with the Help of Novelty Search. SN Comput. Sci. 4 (6) (2023)
Michael Heider, Helena Stegherr, Richard Nordsieck, Jörg Hähner
Assessing Model Requirements for Explainable AI: A Template and Exemplary Case Study. Artif. Life 29 (4) (2023)
Richard Nordsieck, André Schweizer, Michael Heider, Jörg Hähner
PDPK: A Framework to Synthesise Process Data and Corresponding Procedural Knowledge for Manufacturing. CoRR (2023)
Michael Heider, David Pätzel, Alexander R. M. Wagner
An overview of LCS research from 2021 to 2022. GECCO Companion (2022)
Michael Heider, Helena Stegherr, Jonathan Wurth, Roman Sraj, Jörg Hähner
Separating Rule Discovery and Global Solution Composition in a Learning Classifier System. CoRR (2022)
Richard Nordsieck, Michael Heider, Alwin Hoffmann, Jörg Hähner
Reliability-Based Aggregation of Heterogeneous Knowledge to Assist Operators in Manufacturing. ICSC (2022)
Michael Heider, Helena Stegherr, Richard Nordsieck, Jörg Hähner
Learning Classifier Systems for Self-Explaining Socio-Technical-Systems. CoRR (2022)
Richard Nordsieck, Michael Heider, Anton Hummel, Alwin Hoffmann, Jörg Hähner
Towards Models of Conceptual and Procedural Operator Knowledge. SemIIM (2022)
Michael Heider, Helena Stegherr, Jonathan Wurth, Roman Sraj, Jörg Hähner
Investigating the Impact of Independent Rule Fitnesses in a Learning Classifier System. CoRR (2022)
Jonathan Wurth, Michael Heider, Helena Stegherr, Roman Sraj, Jörg Hähner
Comparing different metaheuristics for model selection in a supervised learning classifier system. GECCO Companion (2022)
Michael Heider, Helena Stegherr, Jonathan Wurth, Roman Sraj, Jörg Hähner
Investigating the Impact of Independent Rule Fitnesses in a Learning Classifier System. BIOMA (2022)
Richard Nordsieck, Michael Heider, Anton Hummel, Jörg Hähner
A Closer Look at Sum-based Embeddings for Knowledge Graphs Containing Procedural Knowledge. DL4KG@ISWC (2022)
Helena Stegherr, Michael Heider, Jörg Hähner
Classifying Metaheuristics: Towards a unified multi-level classification system. Nat. Comput. 21 (2) (2022)
Michael Heider, Helena Stegherr, Jonathan Wurth, Roman Sraj, Jörg Hähner
Separating rule discovery and global solution composition in a learning classifier system. GECCO Companion (2022)
Michael Heider, Helena Stegherr, David Pätzel, Roman Sraj, Jonathan Wurth, Benedikt Volger, Jörg Hähner
Approaches for Rule Discovery in a Learning Classifier System. IJCCI (2022)
Helena Stegherr, Michael Heider, Leopold Luley, Jörg Hähner
Design of large-scale metaheuristic component studies. GECCO Companion (2021)
Richard Nordsieck, Michael Heider, Anton Winschel, Jörg Hähner
Knowledge Extraction via Decentralized Knowledge Graph Aggregation. ICSC (2021)
Andreas Wiedholz, Michael Heider, Richard Nordsieck, Andreas Angerer, Simon Dietrich, Jörg Hähner
CAD-based Grasp and Motion Planning for Process Automation in Fused Deposition Modelling. ICINCO (2021)
David Pätzel, Michael Heider, Alexander R. M. Wagner
An overview of LCS research from 2020 to 2021. GECCO Companion (2021)
Michael Heider, Richard Nordsieck, Jörg Hähner
Learning Classifier Systems for Self-Explaining Socio-Technical-Systems. LIFELIKE (2021)
Michael Heider, David Pätzel, Jörg Hähner
SupRB: A Supervised Rule-based Learning System for Continuous Problems. CoRR (2020)
Michael Heider, David Pätzel, Jörg Hähner
Towards a Pittsburgh-style LCS for learning manufacturing machinery parametrizations. GECCO Companion (2020)
Richard Nordsieck, Michael Heider, Andreas Angerer, Jörg Hähner
Evaluating the Effect of User-Given Guiding Attention on the Learning Process. ACSOS (2020)
Michael Heider
Increasing Reliability in FDM Manufacturing. GI-Jahrestagung (Workshops) (2019)
Richard Nordsieck, Michael Heider, Andreas Angerer, Jörg Hähner
Towards Automated Parameter Optimisation of Machinery by Persisting Expert Knowledge. ICINCO (1) (2019)
Sebastian von Mammen, Heiko Hamann, Michael Heider
Robot gardens: an augmented reality prototype for plant-robot biohybrid systems. VRST (2016)