Yi-Hsien Hsieh
According to our database1,
Yi-Hsien Hsieh
authored at least 9 papers
between 2016 and 2024.
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Bibliography
2024
Scalable Numerical Embeddings for Multivariate Time Series: Enhancing Healthcare Data Representation Learning.
CoRR, 2024
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
Predicting Microsatellite Instability from Histology Images with Dilated Neighborhood Attention Transformer in Colorectal Cancer.
Proceedings of the 24th IEEE International Conference on Bioinformatics and Bioengineering, 2024
ReViT: A Hybrid Approach for BCLC Staging of Hepatocellular Carcinoma Using 3D CT with Multiple Instance Learning.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2024
2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Utilizing Graph Neural Networks for Breast Cancer Prognosis Prediction with High-dimensional Genomic Data.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
X-RIM: Extreme Recurrent Independent Mechanisms for Noise-resistant and Interpretable Stroke Risk Prediction.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Meta-EHR: A meta-learning approach for electronic health records with a high imbalanced ratio and missing rate.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2016
Int. J. Circuit Theory Appl., 2016