Fengtao Nan
Orcid: 0000-0003-3415-3593
According to our database1,
Fengtao Nan
authored at least 12 papers
between 2019 and 2024.
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Bibliography
2024
IEEE Trans. Fuzzy Syst., October, 2024
Alzheimer's Disease Diagnosis via Specific-Shared Representation Learning in Multimodal Neuroimaging.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024
2023
Privacy-Preserving-Enabled Lightweight COVID-19 Simulation Model for Mobile Intelligent Application.
IEEE Internet Things J., 2023
Effective Severity Assessment of Parkinson's Disease with Wearable Intelligence using Free-living Environment Data.
Proceedings of the 32nd IEEE International Symposium on Industrial Electronics, 2023
Modeling Parkinson's Disease Aided Diagnosis with Multi-Instance Learning: An Effective Approach to Mitigate Label Noise.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022
Analytic Correlation Penalty with Variable Window in Multi-task Learning Disease Progression Model.
Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022
2021
Effective multilayer hybrid classification approach for automatic bridge health assessment on large-scale uncertain data.
J. Ind. Inf. Integr., 2021
A novel sub-Kmeans based on co-training approach by transforming single-view into multi-view.
Future Gener. Comput. Syst., 2021
Modeling Disease Progression Flexibly with Nonlinear Disease Structure via Multi-task Learning.
Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021
2019
GAN-Based Semi-Supervised Learning Approach for Clinical Decision Support in Health-IoT Platform.
IEEE Access, 2019