Explainable Human-in-the-Loop Dynamic Data-Driven Digital Twins-Reference-Cited by-同舟云学术

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Explainable Human-in-the-Loop Dynamic Data-Driven Digital Twins

Published:2024 Issue: Volume: Page:233-243
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:en
Short-container-title:

Author:

Zhang Nan,Bahsoon Rami,Tziritas Nikos,Theodoropoulos Georgios

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-52670-1_23

Reference17 articles.

1. Barredo Arrieto, A., et al.: Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Inform. Fusion 58, 82–115 (2020). https://doi.org/10.1016/j.inffus.2019.12.012

2. Blasch, E.: DDDAS advantages from high-dimensional simulation. In: 2018 Winter Simulation Conference (WSC), pp. 1418–1429 (2018). https://doi.org/10.1109/WSC.2018.8632336

3. Gao, C., Park, H., Easwaran, A.: An anomaly detection framework for digital twin driven cyber-physical systems. In: Proceedings of the ACM/IEEE 12th International Conference on Cyber-Physical Systems, pp. 44–54. ICCPS ’21, ACM, New York, NY, USA (2021). https://doi.org/10.1145/3450267.3450533

4. Herm, L.V., Heinrich, K., Wanner, J., Janiesch, C.: Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability. Int. J. Inform. Manage. 102538 (Jun 2022). https://doi.org/10.1016/j.ijinfomgt.2022.102538

5. Hu, X., Wu, P.: A data assimilation framework for discrete event simulations. ACM Trans. Model. Comput. Simul. 29(3) (2019). https://doi.org/10.1145/3301502

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Federated Digital Twins as an Enabling Technology for Collaborative Decision-Making;Proceedings of the 38th ACM SIGSIM Conference on Principles of Advanced Discrete Simulation;2024-06-24

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