A survey of automatic de-identification of longitudinal clinical narratives. - Vithya Yogarajan; Michael Mayo; Bernhard Pfahringer (CoRR, 2018)

A Nearest Neighbour-Based Analysis to Identify Patients from Continuous Glucose Monitor Data. - Michael Mayo; Vithya Yogarajan (ACIIDS (2), 2019)

Automatic end-to-end De-identification: Is high accuracy the only metric? - Vithya Yogarajan; Bernhard Pfahringer; Michael Mayo (CoRR, 2019)

Comparing High Dimensional Word Embeddings Trained on Medical Text to Bag-of-Words for Predicting Medical Codes. - Vithya Yogarajan; Henry Gouk; Tony Smith; Michael Mayo; Bernhard Pfahringer (ACIIDS (1), 2020)

A review of Automatic end-to-end De-Identification: Is High Accuracy the Only Metric? - Vithya Yogarajan; Bernhard Pfahringer; Michael Mayo (Appl. Artif. Intell., 2020)

Seeing The Whole Patient: Using Multi-Label Medical Text Classification Techniques to Enhance Predictions of Medical Codes. - Vithya Yogarajan; Jacob Montiel; Tony Smith; Bernhard Pfahringer (CoRR, 2020)

Transformers for Multi-label Classification of Medical Text: An Empirical Comparison. - Vithya Yogarajan; Jacob Montiel; Tony Smith; Bernhard Pfahringer (AIME, 2021)

Improving Predictions of Tail-end Labels using Concatenated BioMed-Transformers for Long Medical Documents. - Vithya Yogarajan; Bernhard Pfahringer; Tony Smith; Jacob Montiel (CoRR, 2021)

Multiclass Malware Classification Using Either Static Opcodes or Dynamic API Calls. - Rajchada Chanajitt; Bernhard Pfahringer; Heitor Murilo Gomes; Vithya Yogarajan (AI, 2022)

Predicting COVID-19 Patient Shielding: A Comprehensive Study. - Vithya Yogarajan; Jacob Montiel; Tony Smith; Bernhard Pfahringer (AI, 2022)

Concatenating BioMed-Transformers to Tackle Long Medical Documents and to Improve the Prediction of Tail-End Labels. - Vithya Yogarajan; Bernhard Pfahringer; Tony Smith; Jacob Montiel (ICANN (2), 2022)

A Hybrid Architecture for Labelling Bilingual Māori-English Tweets. - David Trye; Vithya Yogarajan; Jemma L. König; Te Taka Keegan; David Bainbridge 001; Mark D. Apperley (AACL/IJCNLP (Findings), 2022)

Language Models for Code-switch Detection of te reo Māori and English in a Low-resource Setting. - Jesin James; Vithya Yogarajan; Isabella Shields; Catherine I. Watson; Peter Keegan; Keoni Mahelona; Peter-Lucas Jones (NAACL-HLT (Findings), 2022)

Data and model bias in artificial intelligence for healthcare applications in New Zealand. - Vithya Yogarajan; Gillian Dobbie; Sharon Leitch; Te Taka Keegan; Joshua Bensemann; Michael Witbrock; Varsha Asrani; David Reith (Frontiers Comput. Sci., 2022)

Challenges in Annotating Datasets to Quantify Bias in Under-represented Society. - Vithya Yogarajan; Gillian Dobbie; Timothy Pistotti; Joshua Bensemann; Kobe Knowles (ETHAICS@IJCAI, 2023)

Neuromodulation Gated Transformer. - Kobe Knowles; Joshua Bensemann; Diana Benavides Prado; Vithya Yogarajan; Michael Witbrock; Gillian Dobbie; Yang Chen 028 (Tiny Papers @ ICLR, 2023)

Effectiveness of Debiasing Techniques: An Indigenous Qualitative Analysis. - Vithya Yogarajan; Gillian Dobbie; Henry Gouk (Tiny Papers @ ICLR, 2023)

Developing a Fair AI-based Healthcare Framework with Feedback Loop. - Vithya Yogarajan; Gillian Dobbie; Sharon Leitch; David Reith (KDH@IJCAI, 2023)

Emotion Recognition ToolKit (ERTK): Standardising Tools For Emotion Recognition Research. - Aaron Keesing; Yun Sing Koh; Vithya Yogarajan; Michael Witbrock (ACM Multimedia, 2023)

Tackling Bias in Pre-trained Language Models: Current Trends and Under-represented Societies. - Vithya Yogarajan; Gillian Dobbie; Te Taka Keegan; Rostam J. Neuwirth (CoRR, 2023)

Annotator Disagreement-Based Analysis for Developing Bias Benchmark Datasets in Resource-Restricted Settings. - Vithya Yogarajan; Paul Rayson; Gillian Dobbie; Aaron Keesing; Te Taka Keegan; Diana Benavides-Prado; Michael Witbrock (ICONIP (10), 2024)

The development of a labelled te reo Māori-English bilingual database for language technology. - Jesin James; Isabella Shields; Vithya Yogarajan; Peter J. Keegan; Catherine I. Watson; Peter-Lucas Jones; Keoni Mahelona (Lang. Resour. Evaluation, 2025)