| 2024 | ICONIP | 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 |
| 2023 | ICLR | Neuromodulation Gated Transformer. | Kobe Knowles, Joshua Bensemann, Diana Benavides Prado, Vithya Yogarajan, Michael Witbrock, Gillian Dobbie, Yang Chen |
| 2023 | ICLR | Effectiveness of Debiasing Techniques: An Indigenous Qualitative Analysis. | Vithya Yogarajan, Gillian Dobbie, Henry Gouk |
| 2022 | ICANN | 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 |
| 2022 | IJCNLP | A Hybrid Architecture for Labelling Bilingual Māori-English Tweets. | David Trye, Vithya Yogarajan, Jemma L. Knig, Te Taka Keegan, David Bainbridge, Mark D. Apperley |
| 2022 | NAACL | 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 |
| 2021 | AIME | Transformers for Multi-label Classification of Medical Text: An Empirical Comparison. | Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer |
| 2020 | ACIIDS | 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 |
| 2019 | ACIIDS | A Nearest Neighbour-Based Analysis to Identify Patients from Continuous Glucose Monitor Data. | Michael Mayo, Vithya Yogarajan |