Select Publications
By Mr Nic Kuo
Book Chapters
2024, 'Rule-Based Natural Language Processing Pipeline to Detect Medication-Related Named Entities: Insights for Transfer Learning', in , pp. 584 - 588, http://dx.doi.org/10.3233/SHTI231032
,Journal articles
2024, 'Enriching Data Science and Health Care Education: Application and Impact of Synthetic Data Sets Through the Health Gym Project', JMIR Medical Education, 10, http://dx.doi.org/10.2196/51388
,2023, 'Generating synthetic clinical data that capture class imbalanced distributions with generative adversarial networks: Example using antiretroviral therapy for HIV', Journal of Biomedical Informatics, 144, http://dx.doi.org/10.1016/j.jbi.2023.104436
,2022, 'The Health Gym: synthetic health-related datasets for the development of reinforcement learning algorithms', Scientific Data, 9, http://dx.doi.org/10.1038/s41597-022-01784-7
,Conference Papers
2021, 'Plastic and stable gated classifiers for continual learning', in IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp. 3548 - 3553, http://dx.doi.org/10.1109/CVPRW53098.2021.00394
,2020, 'An Input Residual Connection for Simplifying Gated Recurrent Neural Networks', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207238
,2020, 'M2SGD: Learning to learn important weights', in IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp. 957 - 964, http://dx.doi.org/10.1109/CVPRW50498.2020.00126
,2020, 'An Automatic Vowel Space Generator for Language Learners’ Pronunciation Acquisition and Correction', in Proceedings of the Australasian Language Technology Workshop
,Preprints
2023, Generative AI Mitigates Representation Bias Using Synthetic Health Data, , http://dx.doi.org/10.1101/2023.09.26.23296163
,2023, Enriching Data Science and Health Care Education: Application and Impact of Synthetic Data Sets Through the Health Gym Project (Preprint), , http://dx.doi.org/10.2196/preprints.51388
,2023, Synthetic Health-related Longitudinal Data with Mixed-type Variables Generated using Diffusion Models, , http://dx.doi.org/10.48550/arxiv.2303.12281
,2022, Generating Synthetic Clinical Data that Capture Class Imbalanced Distributions with Generative Adversarial Networks: Example using Antiretroviral Therapy for HIV, , http://dx.doi.org/10.48550/arxiv.2208.08655
,2022, The Health Gym: Synthetic Health-Related Datasets for the Development of Reinforcement Learning Algorithms, , http://dx.doi.org/10.48550/arxiv.2203.06369
,2021, Synthetic Acute Hypotension and Sepsis Datasets Based on MIMIC-III and Published as Part of the Health Gym Project, , http://dx.doi.org/10.48550/arxiv.2112.03914
,2021, Learning to Continually Learn Rapidly from Few and Noisy Data, , http://dx.doi.org/10.48550/arxiv.2103.04066
,2020, MTL2L: A Context Aware Neural Optimiser, , http://dx.doi.org/10.48550/arxiv.2007.09343
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