Fengtao Nan
Orcid: 0000-0003-3415-3593
According to our database1,
Fengtao Nan authored at least 20 papers
between 2019 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2025
Intelligent Inspection of Electronic Devices in Specific Environments via a Novel Cascade Network of Combining Mixed Sampling and Nonstrided Convolution.
IEEE Trans. Syst. Man Cybern. Syst., May, 2025
Multi-Scale and Multi-Level Feature Assessment Framework for Classification of Parkinson's Disease State From Short-Term Motor Tasks.
IEEE Trans. Biomed. Eng., April, 2025
Joint image synthesis and fusion with converted features for Alzheimer's disease diagnosis.
Eng. Appl. Artif. Intell., 2025
GeneA-SLAM2: Dynamic SLAM with AutoEncoder-Preprocessed Genetic Keypoints Resampling and Depth Variance-Guided Dynamic Region Removal.
Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025
Accurate Prediction of Human Protein Complexes from a Comprehensive Protein Interaction Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
2024
IEEE Trans. Fuzzy Syst., October, 2024
A Multi-Classification Accessment Framework for Reproducible Evaluation of Multimodal Learning in Alzheimer's Disease.
IEEE Trans. Comput. Biol. Bioinform., 2024
Alzheimer's Disease Diagnosis via Specific-Shared Representation Learning in Multimodal Neuroimaging.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024
Quantifying and Removing Free-living Uncertainty for Effective Parkinson's Disease Diagnosis Using Smart Watch.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
Privacy-Preserving-Enabled Lightweight COVID-19 Simulation Model for Mobile Intelligent Application.
IEEE Internet Things J., 2023
A novel feature relearning method for automatic sleep staging based on single-channel EEG.
Complex Intell. Syst., 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