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Nicholas I-Hsien Kuo
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2020 – today
- 2024
- [i8]Nicholas I-Hsien Kuo, Blanca Gallego, Louisa Jorm:
Masked Clinical Modelling: A Framework for Synthetic and Augmented Survival Data Generation. CoRR abs/2410.16811 (2024) - [i7]Nicholas I-Hsien Kuo, Blanca Gallego, Louisa Jorm:
CK4Gen: A Knowledge Distillation Framework for Generating High-Utility Synthetic Survival Datasets in Healthcare. CoRR abs/2410.16872 (2024) - 2023
- [j1]Nicholas I-Hsien Kuo, Federico Garcia
, Anders Sönnerborg
Generating synthetic clinical data that capture class imbalanced distributions with generative adversarial networks: Example using antiretroviral therapy for HIV. J. Biomed. Informatics 144: 104436 (2023) - [c5]Zoie Shui-Yee Wong
Rule-Based Natural Language Processing Pipeline to Detect Medication-Related Named Entities: Insights for Transfer Learning. MedInfo 2023: 584-588 - [i6]Nicholas I-Hsien Kuo, Louisa Jorm, Sebastiano Barbieri:
Synthetic Health-related Longitudinal Data with Mixed-type Variables Generated using Diffusion Models. CoRR abs/2303.12281 (2023) - 2022
- [i5]Nicholas I-Hsien Kuo, Mark N. Polizzotto, Simon Finfer, Federico Garcia, Anders Sönnerborg, Maurizio Zazzi, Michael Böhm, Louisa Jorm, Sebastiano Barbieri:
The Health Gym: Synthetic Health-Related Datasets for the Development of Reinforcement Learning Algorithms. CoRR abs/2203.06369 (2022) - [i4]Nicholas I-Hsien Kuo, Louisa Jorm, Sebastiano Barbieri:
Generating Synthetic Clinical Data that Capture Class Imbalanced Distributions with Generative Adversarial Networks: Example using Antiretroviral Therapy for HIV. CoRR abs/2208.08655 (2022) - 2021
- [c4]Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen
Learning to Continually Learn Rapidly from Few and Noisy Data. MetaDL@AAAI 2021: 65-76 - [c3]Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro
Plastic and Stable Gated Classifiers for Continual Learning. CVPR Workshops 2021: 3553-3558 - [i3]Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen:
Learning to Continually Learn Rapidly from Few and Noisy Data. CoRR abs/2103.04066 (2021) - [i2]Nicholas I-Hsien Kuo, Mark N. Polizzotto, Simon Finfer, Louisa Jorm, Sebastiano Barbieri:
Synthetic Acute Hypotension and Sepsis Datasets Based on MIMIC-III and Published as Part of the Health Gym Project. CoRR abs/2112.03914 (2021) - 2020
- [c2]Nicholas I-Hsien Kuo, Mehrtash Harandi
M2SGD: Learning to Learn Important Weights. CVPR Workshops 2020: 957-964 - [c1]Nicholas I-Hsien Kuo, Mehrtash Harandi
An Input Residual Connection for Simplifying Gated Recurrent Neural Networks. IJCNN 2020: 1-8 - [i1]Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder
MTL2L: A Context Aware Neural Optimiser. CoRR abs/2007.09343 (2020)
Coauthor Index
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