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Generating Synthetic Clinical Data that Capture Class Imbalanced Distributions with Generative Adversarial Networks: Example using Antiretroviral Therapy for HIV.

N. Kuo, L. Jorm, and S. Barbieri. CoRR, (2022)

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Shih-Hsien Kuo

Chi-hsien Kuo

I-Hsien Ting

Linda Hsien

Yen-Twu Kuo

Other publications of authors with the same name

Generating synthetic clinical data that capture class imbalanced distributions with generative adversarial networks: Example using antiretroviral therapy for HIV.N. Kuo, F. Garcia, A. Sönnerborg, M. Böhm, R. Kaiser, M. Zazzi, M. Polizzotto, L. Jorm, and S. Barbieri. J. Biomed. Informatics, (August 2023)The Health Gym: Synthetic Health-Related Datasets for the Development of Reinforcement Learning Algorithms.N. Kuo, M. Polizzotto, S. Finfer, F. Garcia, A. Sönnerborg, M. Zazzi, M. Böhm, L. Jorm, and S. Barbieri. CoRR, (2022)An Input Residual Connection for Simplifying Gated Recurrent Neural Networks.N. Kuo, M. Harandi, N. Fourrier, C. Walder, G. Ferraro, and H. Suominen. IJCNN, page 1-8. IEEE, (2020)Synthetic Acute Hypotension and Sepsis Datasets Based on MIMIC-III and Published as Part of the Health Gym Project.N. Kuo, M. Polizzotto, S. Finfer, L. Jorm, and S. Barbieri. CoRR, (2021)Rule-Based Natural Language Processing Pipeline to Detect Medication-Related Named Entities: Insights for Transfer Learning.Z. Wong, N. Waters, N. Kuo, and J. Liu. MedInfo, volume 310 of Studies in Health Technology and Informatics, page 584-588. IOS Press, (2023)M2SGD: Learning to Learn Important Weights.N. Kuo, M. Harandi, N. Fourrier, C. Walder, G. Ferraro, and H. Suominen. CVPR Workshops, page 957-964. Computer Vision Foundation / IEEE, (2020)Plastic and Stable Gated Classifiers for Continual Learning.N. Kuo, M. Harandi, N. Fourrier, C. Walder, G. Ferraro, and H. Suominen. CVPR Workshops, page 3553-3558. Computer Vision Foundation / IEEE, (2021)MTL2L: A Context Aware Neural Optimiser.N. Kuo, M. Harandi, N. Fourrier, C. Walder, G. Ferraro, and H. Suominen. CoRR, (2020)Learning to Continually Learn Rapidly from Few and Noisy Data.N. Kuo, M. Harandi, N. Fourrier, C. Walder, G. Ferraro, and H. Suominen. MetaDL@AAAI, volume 140 of Proceedings of Machine Learning Research, page 65-76. PMLR, (2021)Synthetic Health-related Longitudinal Data with Mixed-type Variables Generated using Diffusion Models.N. Kuo, L. Jorm, and S. Barbieri. CoRR, (2023)

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Disambiguation of "Kuo, Nicholas I-Hsien"