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09/11/2023
Challenges in Annotating Datasets to Quantify Bias in Under-represented Society
Recent advances in artificial intelligence, including the development of...
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05/05/2023
Neuromodulation Gated Transformer
We introduce a novel architecture, the Neuromodulation Gated Transformer...
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04/17/2023
Effectiveness of Debiasing Techniques: An Indigenous Qualitative Analysis
An indigenous perspective on the effectiveness of debiasing techniques f...
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08/21/2022
The Development of a Labelled te reo Māori-English Bilingual Database for Language Technology
Te reo Māori (referred to as Māori), New Zealand's indigenous language, ...
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12/03/2021
Improving Predictions of Tail-end Labels using Concatenated BioMed-Transformers for Long Medical Documents
Multi-label learning predicts a subset of labels from a given label set ...
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10/01/2021
Predicting COVID-19 Patient Shielding: A Comprehensive Study
There are many ways machine learning and big data analytics are used in ...
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03/29/2020
Seeing The Whole Patient: Using Multi-Label Medical Text Classification Techniques to Enhance Predictions of Medical Codes
Machine learning-based multi-label medical text classifications can be u...
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01/27/2019
Automatic end-to-end De-identification: Is high accuracy the only metric?
De-identification of electronic health records (EHR) is a vital step tow...
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10/16/2018