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James Y. Xu
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2020 – today
- 2023
- [j6]Yingxu Wang, James Y. Xu:
An Autonomous Fake News Recognition System by Semantic Learning and Cognitive Computing. Trans. Comput. Sci. 40: 88-109 (2023) - 2022
- [c12]Yingxu Wang, James Y. Xu:
A Cognitive Computing Methodology for Software Requirement Elicitation and Formal Specification. ICCI*CC 2022: 129-136 - 2021
- [c11]Yingxu Wang, James Y. Xu:
Autonomous Software Requirement Specifications towards AI Programming. ICCI*CC 2021: 123-130 - 2020
- [c10]James Y. Xu, Yingxu Wang:
Formal Software Requirement Elicitation based on Semantic Algebra and Cognitive Computing. IEEE ICCI*CC 2020: 187-194 - [c9]James Y. Xu, Connor Branch, Yingxu Wang:
A Methodology and Experiments towards Autonomous Decision Making. SMC 2020: 1027-1032
2010 – 2019
- 2019
- [c8]Yingxu Wang, James Y. Xu:
RTPA-based Software Generation by AI Programming. ICCI*CC 2019: 41-46 - 2018
- [c7]James Y. Xu, Yingxu Wang:
Towards a Methodology for RTPA-MATLAB Code Generation Based on Machine Learning Rules. ICCI*CC 2018: 117-123 - 2016
- [j5]Jie Xu, Linqi Song, James Y. Xu, Gregory J. Pottie, Mihaela van der Schaar:
Personalized Active Learning for Activity Classification Using Wireless Wearable Sensors. IEEE J. Sel. Top. Signal Process. 10(5): 865-876 (2016) - [j4]James Y. Xu, Yan Wang, Mick Barrett, Bruce Dobkin, Gregory J. Pottie, William J. Kaiser:
Personalized Multilayer Daily Life Profiling Through Context Enabled Activity Classification and Motion Reconstruction: An Integrated System Approach. IEEE J. Biomed. Health Informatics 20(1): 177-188 (2016) - 2015
- [j3]James Y. Xu, Xiaomeng Nan, Victor Ebken, Yan Wang, Gregory J. Pottie, William J. Kaiser:
Integrated Inertial Sensors and Mobile Computing for Real-Time Cycling Performance Guidance via Pedaling Profile Classification. IEEE J. Biomed. Health Informatics 19(2): 440-445 (2015) - 2014
- [j2]James Y. Xu, Hua-I Chang, Chieh Chien, William J. Kaiser, Gregory J. Pottie:
Context-driven, Prescription-Based Personal Activity Classification: Methodology, Architecture, and End-to-End Implementation. IEEE J. Biomed. Health Informatics 18(3): 1015-1025 (2014) - [c6]Yan Wang, James Y. Xu, Xiaoxu Wu, Gregory J. Pottie, William J. Kaiser:
A simple calibration for upper limb motion tracking and reconstruction. EMBC 2014: 5868-5871 - [c5]Jie Xu, James Y. Xu, Linqi Song, Gregory J. Pottie, Mihaela van der Schaar:
Context-driven online learning for activity classification in wireless health. GLOBECOM 2014: 2423-2428 - 2013
- [j1]James Y. Xu, Gregory J. Pottie, William J. Kaiser:
Enabling Large-Scale Ground-Truth Acquisition and System Evaluation in Wireless Health. IEEE Trans. Biomed. Eng. 60(1): 174-178 (2013) - [c4]Yan Wang, James Y. Xu, Xiaoyu Xu, Xiaoxu Wu, Gregory J. Pottie, William J. Kaiser:
Inertial Sensor Based Motion Trajectory Visualization and Quantitative Quality Assessment of Hemiparetic Gait. BODYNETS 2013: 169-172 - [c3]Hua-I Chang, Chieh Chien, James Y. Xu, Gregory J. Pottie:
Context-guided universal hybrid decision tree for activity classification. BSN 2013: 1-6 - [c2]Yan Wang, Chieh Chien, James Y. Xu, Gregory J. Pottie, William J. Kaiser:
Gait analysis using 3D motion reconstruction with an activity-specific tracking protocol. ICASSP 2013: 1041-1045 - 2011
- [c1]James Y. Xu, Yuwen Sun, Zhao Wang, William J. Kaiser, Gregory J. Pottie:
Context guided and personalized activity classification system. Wireless Health 2011: 12
Coauthor Index
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