According to our database1, Dirk Helm authored at least 6 papers between 2019 and 2022.
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Deep reinforcement learning methods for structure-guided processing path optimization.
J. Intell. Manuf., 2022
A multi-task learning-based optimization approach for finding diverse sets of material microstructures with desired properties and its application to texture optimization.
Concept for metadata and time series data integration based on a material science application ontology.
Proceedings of the 16th International Workshop on Ontology Matching co-located with the 20th International Semantic Web Conference (ISWC 2021), 2021
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019