Підписатись
Michael Heider
Michael Heider
Підтверджена електронна адреса в informatik.uni-augsburg.de - Домашня сторінка
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Посилання
Посилання
Рік
Classifying Metaheuristics: Towards a unified multi-level classification system
H Stegherr, M Heider, J Hähner
Natural Computing 21 (2), 155-171, 2022
862022
Knowledge extraction via decentralized knowledge graph aggregation
R Nordsieck, M Heider, A Winschel, J Hähner
2021 IEEE 15th International Conference on Semantic Computing (ICSC), 92-99, 2021
152021
Robot gardens: an augmented reality prototype for plant-robot biohybrid systems
S von Mammen, H Hamann, M Heider
Proceedings of the 22nd ACM Conference on Virtual Reality Software and …, 2016
132016
A Metaheuristic Perspective on Learning Classifier Systems
M Heider, D Pätzel, H Stegherr, J Hähner
Metaheuristics for Machine Learning: New Advances and Tools, 73-98, 2022
122022
Separating rule discovery and global solution composition in a learning classifier system
M Heider, H Stegherr, J Wurth, R Sraj, J Hähner
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022
122022
Learning classifier systems for self-explaining socio-technical-systems
M Heider, H Stegherr, R Nordsieck, J Hähner
arXiv preprint arXiv:2207.02300, 2022
122022
An overview of LCS research from 2020 to 2021
D Pätzel, M Heider, ARM Wagner
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021
92021
Assessing Model Requirements for Explainable AI: A Template and Exemplary Case Study
M Heider, H Stegherr, R Nordsieck, J Hähner
Artificial Life 29 (4), 468-486, 2023
82023
Towards automated parameter optimisation of machinery by persisting expert knowledge
R Nordsieck, M Heider, A Angerer, J Hähner
82019
Investigating the Impact of Independent Rule Fitnesses in a Learning Classifier System
M Heider, H Stegherr, J Wurth, R Sraj, J Hähner
Bioinspired Optimization Methods and Their Applications: 10th International …, 2022
72022
Comparing different metaheuristics for model selection in a supervised learning classifier system
J Wurth, M Heider, H Stegherr, R Sraj, J Hähner
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022
72022
Towards a Pittsburgh-style LCS for learning manufacturing machinery parametrizations
M Heider, D Pätzel, J Hähner
Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020
72020
An overview of LCS research from 2021 to 2022
M Heider, D Pätzel, ARM Wagner
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022
62022
Forecasting of residential unit’s heat demands: a comparison of machine learning techniques in a real-world case study
N Kemper, M Heider, D Pietruschka, J Hähner
Energy Systems, 1-35, 2023
42023
Reliability-Based Aggregation of Heterogeneous Knowledge to Assist Operators in Manufacturing
R Nordsieck, M Heider, A Hoffmann, J Hähner
2022 IEEE 16th International Conference on Semantic Computing (ICSC), 131-138, 2022
42022
Approaches for Rule Discovery in a Learning Classifier System
M Heider, H Stegherr, D Pätzel, R Sraj, J Wurth, B Volger, J Hähner
International Joint Conference on Computational Intelligence - ECTA, 39-49, 2022
42022
Design of large-scale metaheuristic component studies
H Stegherr, M Heider, L Luley, J Hähner
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021
42021
Discovering Rules for Rule-Based Machine Learning with the Help of Novelty Search
M Heider, H Stegherr, D Pätzel, R Sraj, J Wurth, B Volger, J Hähner
SN Computer Science 4 (6), 778, 2023
32023
Towards Principled Synthetic Benchmarks for Explainable Rule Set Learning Algorithms
D Pätzel, M Heider, J Hähner
Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023
32023
CAD-based grasp and motion planning for process automation in fused deposition modelling
A Wiedholz, M Heider, R Nordsieck, A Angerer, S Dietrich, J Hähner
Proceedings of the 18th International Conference on Informatics in Control …, 2021
32021
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