Richard Nordsieck

According to our database, Richard Nordsieck authored at least 13 papers between 2019 and 2024.

Collaborative distances:

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

2024

Measuring Similarities in Model Structure of Metaheuristic Rule Set Learners.

David Pätzel, Richard Nordsieck, Jörg Hähner

Proceedings of the Applications of Evolutionary Computation - 27th European Conference, 2024

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

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

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

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

Interactive Knowledge-Guided Learning.

Richard Nordsieck, Jörg Hähner

Proceedings of the 2020 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