Publikationen des TMDT
- 2022
- Tercan, H., Deibert, P., & Meisen, T. (2022). "Continual learning of neural networks for quality prediction in production using memory aware synapses and weight transfer" , Journal of Intelligent Manufacturing , 283—292.
- Maack, R. F., Tercan, H., & Meisen, T. (2022). "Deep Learning based Visual Quality Inspection for Industrial Assembly Line Production using Normalizing Flows" in 2022 IEEE 20th International Conference on Industrial Informatics (INDIN) , IEEE 329—334.
ISBN: 978-1-7281-7568-3
- Burgdorf, A., Paulus, A., Pomp, A., & Meisen, T. (2022). "DocSemMap 2.0" in Proceedings of the 31st ACM International Conference on Information & Knowledge Management , New York, NY, USA : Association for Computing Machinery 98—107.
ISBN: 9781450392365
- Burgdorf, A., Paulus, A., Pomp, A., & Meisen, T. (2022). "DocSemMap: Leveraging Textual Data Documentations for Mapping Structured Data Sets into Knowledge Graphs" in 2022 IEEE 16th International Conference on Semantic Computing (ICSC) , IEEE 209—216.
ISBN: 978-1-6654-3418-8
- Burgdorf, A., Barkmann, M., Pomp, A., & Meisen, T. (2022). "Domain-independent Data-to-Text Generation for Open Data" in Proceedings of the 11th International Conference on Data Science, Technology and Applications , SCITEPRESS - Science and Technology Publications 95—106.
ISBN: 978-989-758-583-8
- Puiseau, C., Nanfack, D. T., Tercan, H., Löbbert-Plattfaut, J., & Meisen, T. (2022). "Dynamic Storage Location Assignment in Warehouses Using Deep Reinforcement Learning" , Technologies , 10 (6), 129.
- Engel, A., Loerwald, P., & Horn, G. (2022). "Fit für die Smart City 4.0 — Konzeption eines Evolutionsmodells der partizipativen Smart City zur Evaluation und Erweiterung städtischer Bürger*innenbeteiligung" in Transforming Mobility — What Next? , Proff, Heike, Eds. Wiesbaden : Springer Fachmedien Wiesbaden , 877—894.
ISBN: 978-3-658-36429-8
- Langer, T., Meyes, R., & Meisen, T. (2022). "Gideon Replay: A library to replay interactions in web-applications" , SoftwareX , 17 , 100964.
- Langer, T., Welbers, V., & Meisen, T. (2022). "Gideon-TS: Efficient Exploration and Labeling of Multivariate Industrial Sensor Data" , 2184-4992 .
- Vietz, H., Maschler, B., Tercan, H., Bitter, C., Meisen, T., & Weyrich, M. (2022). "Industrielles Transfer-Lernen: Von der Wissenschaft in die Praxis" , atp magazin , 63 (9), 86—93.
- Maschler, B., Vietz, H., Tercan, H., Bitter, C., Meisen, T., & Weyrich, M. (2022). "Insights and Example Use Cases on Industrial Transfer Learning" , Procedia CIRP , 107 , 511—516.
- Steiniger, Y., Stoppe, J., Kraus, D., & Meisen, T. (2022). "Investigating the training of convolutional neural networks with limited sidescan sonar image datasets" in OCEANS 2022, Hampton Roads , IEEE 1—6.
ISBN: 978-1-6654-6809-1
- Bitter, C., Thun, T., & Meisen, T. (2022). "Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments" , arXiv arXiv:2212.00906 .
- Tercan, H., & Meisen, T. (2022). "Machine learning and deep learning based predictive quality in manufacturing: a systematic review" , Journal of Intelligent Manufacturing .
- Engel, A., & Krosch, K. (2022). "Menschenzentrierte KI: zu einer Leitkultur für Mensch und Maschine im Spannungsfeld zwischen Kultur, Politik und Wissenschaft" in Behemoth , Freiburg : Albert-Ludwigs-Universität Freiburg .
