Michael Heider

According to our database, Michael Heider authored at least 32 papers between 2016 and 2023.

Collaborative distances:

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

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

PDPK: A Framework to Synthesise Process Data and Corresponding Procedural Knowledge for Manufacturing.

Richard Nordsieck, André Schweizer, Michael Heider, Jörg Hähner

CoRR, 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

Towards Understanding Crossover for Cartesian Genetic Programming.

Henning Cui, Andreas Margraf, 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

Towards Principled Synthetic Benchmarks for Explainable Rule Set Learning Algorithms.

David Pätzel, Michael Heider, Jörg Hähner

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

On Data-Preprocessing for Effective Predictive Maintenance on Multi-Purpose Machines.

Lukas Meitz, Michael Heider, Thorsten Schöler, Jörg Hähner

Proceedings of the 12th International Conference on Data Science, 2023

Predicting Physical Disturbances in Organic Computing Systems Using Automated Machine Learning.

Markus Görlich-Bucher, Michael Heider, Jörg Hähner

Proceedings of the Architecture of Computing Systems - 36th International Conference, 2023

A Decision-Theoretic Approach for Prioritizing Maintenance Activities in Organic Computing Systems.

Markus Görlich-Bucher, Michael Heider, Tobias Ciemala, Jörg Hähner

Proceedings of the Architecture of Computing Systems - 36th International Conference, 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

A Closer Look at Sum-based Embeddings for Knowledge Graphs Containing Procedural Knowledge.

Richard Nordsieck, Michael Heider, Anton Hummel, Jörg Hähner

Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG 2022) co-located with the 21th International Semantic Web Conference (ISWC 2022), 2022

Towards Models of Conceptual and Procedural Operator Knowledge.

Richard Nordsieck, Michael Heider, Anton Hummel, Alwin Hoffmann, Jörg Hähner

Proceedings of the First International Workshop on Semantic Industrial Information Modelling (SemIIM 2022) co-located with the 19th Extended Semantic Web Conference ESWC 2022, 2022

Reliability-Based Aggregation of Heterogeneous Knowledge to Assist Operators in Manufacturing.

Richard Nordsieck, Michael Heider, Alwin Hoffmann, Jörg Hähner

Proceedings of the 16th IEEE International Conference on Semantic Computing, 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

An overview of LCS research from 2021 to 2022.

Michael Heider, David Pätzel, Alexander R. M. Wagner

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

Knowledge Extraction via Decentralized Knowledge Graph Aggregation.

Richard Nordsieck, Michael Heider, Anton Winschel, Jörg Hähner

Proceedings of the 15th IEEE International Conference on Semantic Computing, 2021

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

Michael Heider, Richard Nordsieck, Jörg Hähner

Proceedings of the Joint Proceedings of the LIFELIKE 2020, 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

Proceedings of the 18th International Conference on Informatics in Control, 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

An overview of LCS research from 2020 to 2021.

David Pätzel, Michael Heider, Alexander R. M. Wagner

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

2020

SupRB: A Supervised Rule-based Learning System for Continuous Problems.

Michael Heider, David Pätzel, Jörg Hähner

CoRR, 2020

Towards a Pittsburgh-style LCS for learning manufacturing machinery parametrizations.

Michael Heider, David Pätzel, Jörg Hähner

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Evaluating the Effect of User-Given Guiding Attention on the Learning Process.

Richard Nordsieck, Michael Heider, Andreas Angerer, Jörg Hähner

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2020

2019

Towards Automated Parameter Optimisation of Machinery by Persisting Expert Knowledge.

Richard Nordsieck, Michael Heider, Andreas Angerer, Jörg Hähner

Proceedings of the 16th International Conference on Informatics in Control, 2019

Increasing Reliability in FDM Manufacturing.

Michael Heider

Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik - Informatik für Gesellschaft, INFORMATIK 2019, 2019

2016

Robot gardens: an augmented reality prototype for plant-robot biohybrid systems.

Sebastian von Mammen, Heiko Hamann, Michael Heider

Proceedings of the 22nd ACM Conference on Virtual Reality Software and Technology, 2016