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2020 – today
- 2024
[c12]David Pätzel
, Richard Nordsieck, Jörg Hähner:
Measuring Similarities in Model Structure of Metaheuristic Rule Set Learners. EvoApplications@EvoStar 2024: 256-272- [c11]David Pätzel, Richard Nordsieck, Jörg Hähner:
Length-niching Selection and Spatial Crossover in Variable-length Evolutionary Rule Set Learning. GECCO Companion 2024: 303-306 - [c10]David Pätzel, Richard Nordsieck, Jörg Hähner:
A Closer Look at Length-niching Selection and Spatial Crossover in Variable-length Evolutionary Rule Set Learning. GECCO Companion 2024: 1779-1787 - 2023
- [j1]Michael Heider, Helena Stegherr, Richard Nordsieck, Jörg Hähner:
Assessing Model Requirements for Explainable AI: A Template and Exemplary Case Study. Artif. Life 29(4): 468-486 (2023) - [i2]Richard Nordsieck, André Schweizer, Michael Heider, Jörg Hähner:
PDPK: A Framework to Synthesise Process Data and Corresponding Procedural Knowledge for Manufacturing. CoRR abs/2308.08371 (2023) - 2022
- [c9]Richard Nordsieck, Michael Heider, Alwin Hoffmann, Jörg Hähner:
Reliability-Based Aggregation of Heterogeneous Knowledge to Assist Operators in Manufacturing. ICSC 2022: 131-138 - [c8]Richard Nordsieck, Michael Heider, Anton Hummel, Alwin Hoffmann, Jörg Hähner:
Towards Models of Conceptual and Procedural Operator Knowledge. SemIIM 2022 - [c7]Richard Nordsieck, Michael Heider, Anton Hummel, Jörg Hähner:
A Closer Look at Sum-based Embeddings for Knowledge Graphs Containing Procedural Knowledge. DL4KG@ISWC 2022 - [i1]Michael Heider, Helena Stegherr, Richard Nordsieck, Jörg Hähner:
Learning Classifier Systems for Self-Explaining Socio-Technical-Systems. CoRR abs/2207.02300 (2022) - 2021
- [c6]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: 450-458 - [c5]Michael Heider, Richard Nordsieck, Jörg Hähner:
Learning Classifier Systems for Self-Explaining Socio-Technical-Systems. LIFELIKE 2021 - [c4]Richard Nordsieck, Michael Heider, Anton Winschel, Jörg Hähner:
Knowledge Extraction via Decentralized Knowledge Graph Aggregation. ICSC 2021: 92-99 - 2020
- [c3]Richard Nordsieck, Michael Heider, Andreas Angerer, Jörg Hähner:
Evaluating the Effect of User-Given Guiding Attention on the Learning Process. ACSOS 2020: 215-221 - [c2]Richard Nordsieck, Jörg Hähner:
Interactive Knowledge-Guided Learning. ACSOS Companion 2020: 237-239
2010 – 2019
- 2019
- [c1]Richard Nordsieck, Michael Heider, Andreas Angerer, Jörg Hähner:
Towards Automated Parameter Optimisation of Machinery by Persisting Expert Knowledge. ICINCO (1) 2019: 406-413
Coauthor Index
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