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Xin Xin 0007
Person information
- affiliation: University of Glasgow, School of Computing Science, UK
- affiliation: TÜV SÜD Asia Pacific, Singapore
Other persons with the same name
- Xin Xin — disambiguation page
- Xin Xin 0001 — Beijing Institute of Technology, Beijing School of Computer Science and Technology, China
- Xin Xin 0002 — Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong
- Xin Xin 0003 — Shandong University, Information Retrieval Lab, School of Computer Science and Technology, China (and 2 more)
- Xin Xin 0004 — Okayama Prefectural University, Faculty of Computer Science and Systems Engineering, Japan
- Xin Xin 0005 — Xi'an University of Posts and Telecommunications, School of Electronics Engineering, China
- Xin Xin 0006 — Beijing Normal University, Faculty of Psychology, China
- Xin Xin 0008 — University of Central Florida, FL, USA (and 2 more)
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Journal Articles
- 2024
- [j2]Enneng Yang, Xin Xin, Li Shen, Yudong Luo, Guibing Guo:
Generalized Embedding Machines for Recommender Systems. Mach. Intell. Res. 21(3): 571-584 (2024) - 2022
- [j1]Xin Xin, Sye Loong Keoh, Michele Sevegnani, Martin Saerbeck, Teck Ping Khoo:
Adaptive Model Verification for Modularized Industry 4.0 Applications. IEEE Access 10: 125353-125364 (2022)
Conference and Workshop Papers
- 2022
- [c3]Yong Zhi Lim, Xin Xin, Teck Ping Khoo:
Enhancing UAV Flight Safety through Sensor-based Runtime Risk Assessment. WF-IoT 2022: 1-5 - [c2]Xin Xin, Sye Loong Keoh, Michele Sevegnani, Martin Saerbeck:
Run-Time Probabilistic Model Checking for Failure Prediction: A Smart Lift Case Study. WF-IoT 2022: 1-7 - 2020
- [c1]Xin Xin, Sye Loong Keoh, Michele Sevegnani, Martin Saerbeck:
Dynamic Probabilistic Model Checking for Sensor Validation in Industry 4.0 Applications. SmartIoT 2020: 43-50
Informal and Other Publications
- 2020
- [i1]Enneng Yang, Xin Xin, Li Shen, Guibing Guo:
Generalized Embedding Machines for Recommender Systems. CoRR abs/2002.06561 (2020)
Coauthor Index
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last updated on 2024-11-15 20:40 CET by the dblp team
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