Vithya Yogarajan
Vithya Yogarajan
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A review of automatic end-to-end de-identification: Is high accuracy the only metric?
V Yogarajan, B Pfahringer, M Mayo
Applied Artificial Intelligence 34 (3), 251-269, 2020
A survey of automatic de-identification of longitudinal clinical narratives
V Yogarajan, M Mayo, B Pfahringer
arXiv preprint arXiv:1810.06765, 2018
Transformers for multi-label classification of medical text: an empirical comparison
V Yogarajan, J Montiel, T Smith, B Pfahringer
International Conference on Artificial Intelligence in Medicine, 114-123, 2021
Language Models for Code-switch Detection of te reo Māori and English in a Low-resource Setting
J James, V Yogarajan, I Shields, CI Watson, P Keegan, K Mahelona, ...
Findings of the Association for Computational Linguistics: NAACL 2022, 650-660, 2022
Comparing high dimensional word embeddings trained on medical text to bag-of-words for predicting medical codes
V Yogarajan, H Gouk, T Smith, M Mayo, B Pfahringer
Intelligent Information and Database Systems: 12th Asian Conference, ACIIDS …, 2020
Seeing the whole patient: Using multi-label medical text classification techniques to enhance predictions of medical codes
V Yogarajan, J Montiel, T Smith, B Pfahringer
arXiv preprint arXiv:2004.00430, 2020
Privacy protection for health information research in New Zealand district health boards
V Yogarajan, M Mayo, B Pfahringer
New Zealand Medical Association 131 (1485), 19-26, 2018
Applying the Reason Model to enhance health record research in the age of'big data'.
R Ragupathy, V Yogarajan
A hybrid architecture for labelling bilingual māori-english tweets
D Trye, V Yogarajan, J König, D Bainbridge, M Apperley
Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022 …, 2022
Domain-specific language models for multi-label classification of medical text
V Yogarajan
PhD Thesis., 2022
The development of a labelled te reo Māori–English bilingual database for language technology
J James, I Shields, V Yogarajan, PJ Keegan, CI Watson, PL Jones, ...
Language Resources and Evaluation, 1-26, 2023
Effectiveness of Debiasing Techniques: An Indigenous Qualitative Analysis
V Yogarajan, G Dobbie, H Gouk
ICLR TinyPaper, 2023
Predicting COVID-19 Patient Shielding: A Comprehensive Study
V Yogarajan, J Montiel, T Smith, B Pfahringer
Advances in Artificial Intelligence. AI 2022. Lecture Notes in Computer …, 2022
Challenges in Annotating Datasets to Quantify Bias in Under-represented Society
V Yogarajan, G Dobbie, T Pistotti, J Bensemann, K Knowles
Ethics and Trust in Human-AI Collaboration: Socio-Technical Approaches @ The …, 2023
Data and Model Bias in Artificial Intelligence for Healthcare Applications in New Zealand
V Yogarajan, G Dobbie, S Leitch, TT Keegan, J Bensemann, M Witbrock, ...
Front. Comput. Sci., Human-Media Interaction 4 (10.3389/fcomp.2022.1070493 …, 2023
Multiclass Malware Classification Using Either Static Opcodes or Dynamic API Calls
R Chanajitt, B Pfahringer, HM Gomes, V Yogarajan
Australasian Joint Conference on Artificial Intelligence, 427-441, 2022
Concatenating BioMed-Transformers to Tackle Long Medical Documents and to Improve the Prediction of Tail-End Labels
V Yogarajan, B Pfahringer, T Smith, J Montiel
International Conference on Artificial Neural Networks, 209-221, 2022
A nearest neighbour-based analysis to identify patients from continuous glucose monitor data
M Mayo, V Yogarajan
Intelligent Information and Database Systems: 11th Asian Conference, ACIIDS …, 2019
Research using electronic health records: not all de-identified datasets are created equal
V Yogarajan, R Ragupathy
CSIRO Publishing 11 (1), 14-15, 2019
Information Integration and Web Intelligence: 25th International Conference, iiWAS 2023, Denpasar, Bali, Indonesia, December 4–6, 2023, Proceedings
P Delir Haghighi, E Pardede, G Dobbie, V Yogarajan, NAS ER, G Kotsis, ...
International Conference on Information Integration and Web Intelligence 25, 2023
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