Nicholas I-Hsien Kuo

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 12

Top Topics

Reinforcement Learning

Drug Resistance

Class Imbalanced

Top Venues

Publications

Nicholas I-Hsien Kuo, Federico Garcia, Anders Sönnerborg, Michael Böhm, Rolf Kaiser, Maurizio Zazzi, Mark N. Polizzotto, Louisa Jorm, Sebastiano Barbieri
Generating synthetic clinical data that capture class imbalanced distributions with generative adversarial networks: Example using antiretroviral therapy for HIV. J. Biomed. Informatics 144 (2023)
Nicholas I-Hsien Kuo, Louisa Jorm, Sebastiano Barbieri
Synthetic Health-related Longitudinal Data with Mixed-type Variables Generated using Diffusion Models. CoRR (2023)
Zoie Shui-Yee Wong, Neil Waters, Nicholas I-Hsien Kuo, Jiaxing Liu
Rule-Based Natural Language Processing Pipeline to Detect Medication-Related Named Entities: Insights for Transfer Learning. MedInfo (2023)
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 (2022)
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 (2022)
Nicholas I-Hsien Kuo, Mark 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 (2021)
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)
Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen
Plastic and Stable Gated Classifiers for Continual Learning. CVPR Workshops (2021)
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 (2021)
Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen
MTL2L: A Context Aware Neural Optimiser. CoRR (2020)
Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen
An Input Residual Connection for Simplifying Gated Recurrent Neural Networks. IJCNN (2020)
Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen
SGD: Learning to Learn Important Weights. CVPR Workshops (2020)