Vithya Yogarajan

28 papers A* 1B 1C 1Misc 2Journal 13Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
The development of a labelled te reo Māori-English bilingual database for language technology.
Lang. Resour. Evaluation
Jesin James, Isabella Shields, Vithya Yogarajan, Peter J. Keegan, Catherine I. Watson, Peter-Lucas Jones, Keoni Mahelona
2024 — conf
Annotator Disagreement-Based Analysis for Developing Bias Benchmark Datasets in Resource-Restricted Settings.
ICONIP (10)
Vithya Yogarajan, Paul Rayson, Gillian Dobbie, Aaron Keesing, Te Taka Keegan, Diana Benavides-Prado, Michael Witbrock
2023 — conf
Challenges in Annotating Datasets to Quantify Bias in Under-represented Society.
ETHAICS@IJCAI
Vithya Yogarajan, Gillian Dobbie, Timothy Pistotti, Joshua Bensemann, Kobe Knowles
2023 J jnl
Challenges in Annotating Datasets to Quantify Bias in Under-represented Society.
CoRR
Vithya Yogarajan, Gillian Dobbie, Timothy Pistotti, Joshua Bensemann, Kobe Knowles
2023 — conf
Developing a Fair AI-based Healthcare Framework with Feedback Loop.
KDH@IJCAI
Vithya Yogarajan, Gillian Dobbie, Sharon Leitch, David Reith
2023 — conf
Effectiveness of Debiasing Techniques: An Indigenous Qualitative Analysis.
Tiny Papers @ ICLR
Vithya Yogarajan, Gillian Dobbie, Henry Gouk
2023 J jnl
Effectiveness of Debiasing Techniques: An Indigenous Qualitative Analysis.
CoRR
Vithya Yogarajan, Gillian Dobbie, Henry Gouk
2023 A* conf
Emotion Recognition ToolKit (ERTK): Standardising Tools For Emotion Recognition Research.
ACM Multimedia
Aaron Keesing, Yun Sing Koh, Vithya Yogarajan, Michael Witbrock
2023 C ed.
Information Integration and Web Intelligence - 25th International Conference, iiWAS 2023, Denpasar, Bali, Indonesia, December 4-6, 2023, Proceedings
iiWAS
Pari Delir Haghighi, Eric Pardede, Gillian Dobbie, Vithya Yogarajan, Ngurah Agus Sanjaya Er, Gabriele Kotsis, Ismail Khalil
2023 — conf
Neuromodulation Gated Transformer.
Tiny Papers @ ICLR
Kobe Knowles, Joshua Bensemann, Diana Benavides Prado, Vithya Yogarajan, Michael Witbrock, Gillian Dobbie, Yang Chen
2023 J jnl
Neuromodulation Gated Transformer.
CoRR
Kobe Knowles, Joshua Bensemann, Diana Benavides-Prado, Vithya Yogarajan, Michael Witbrock, Gillian Dobbie, Yang Chen
2023 J jnl
Tackling Bias in Pre-trained Language Models: Current Trends and Under-represented Societies.
CoRR
Vithya Yogarajan, Gillian Dobbie, Te Taka Keegan, Rostam J. Neuwirth
2022 — conf
A Hybrid Architecture for Labelling Bilingual Māori-English Tweets.
AACL/IJCNLP (Findings)
David Trye, Vithya Yogarajan, Jemma L. König, Te Taka Keegan, David Bainbridge, Mark D. Apperley
2022 — conf
Concatenating BioMed-Transformers to Tackle Long Medical Documents and to Improve the Prediction of Tail-End Labels.
ICANN (2)
Vithya Yogarajan, Bernhard Pfahringer, Tony Smith, Jacob Montiel
2022 J jnl
Data and model bias in artificial intelligence for healthcare applications in New Zealand.
Frontiers Comput. Sci.
Vithya Yogarajan, Gillian Dobbie, Sharon Leitch, Te Taka Keegan, Joshua Bensemann, Michael Witbrock, Varsha Asrani, David Reith
2022 — conf
Language Models for Code-switch Detection of te reo Māori and English in a Low-resource Setting.
NAACL-HLT (Findings)
Jesin James, Vithya Yogarajan, Isabella Shields, Catherine I. Watson, Peter Keegan, Keoni Mahelona, Peter-Lucas Jones
2022 Misc conf
Multiclass Malware Classification Using Either Static Opcodes or Dynamic API Calls.
AI
Rajchada Chanajitt, Bernhard Pfahringer, Heitor Murilo Gomes, Vithya Yogarajan
2022 Misc conf
Predicting COVID-19 Patient Shielding: A Comprehensive Study.
AI
Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer
2022 J jnl
The Development of a Labelled te reo Māori-English Bilingual Database for Language Technology.
CoRR
Jesin James, Isabella Shields, Vithya Yogarajan, Peter J. Keegan, Catherine I. Watson, Peter-Lucas Jones, Keoni Mahelona
2021 J jnl
Improving Predictions of Tail-end Labels using Concatenated BioMed-Transformers for Long Medical Documents.
CoRR
Vithya Yogarajan, Bernhard Pfahringer, Tony Smith, Jacob Montiel
2021 J jnl
Predicting COVID-19 Patient Shielding: A Comprehensive Study.
CoRR
Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer
2021 B conf
Transformers for Multi-label Classification of Medical Text: An Empirical Comparison.
AIME
Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer
2020 J jnl
A review of Automatic end-to-end De-Identification: Is High Accuracy the Only Metric?
Appl. Artif. Intell.
Vithya Yogarajan, Bernhard Pfahringer, Michael Mayo
2020 — conf
Comparing High Dimensional Word Embeddings Trained on Medical Text to Bag-of-Words for Predicting Medical Codes.
ACIIDS (1)
Vithya Yogarajan, Henry Gouk, Tony Smith, Michael Mayo, Bernhard Pfahringer
2020 J jnl
Seeing The Whole Patient: Using Multi-Label Medical Text Classification Techniques to Enhance Predictions of Medical Codes.
CoRR
Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer
2019 — conf
A Nearest Neighbour-Based Analysis to Identify Patients from Continuous Glucose Monitor Data.
ACIIDS (2)
Michael Mayo, Vithya Yogarajan
2019 J jnl
Automatic end-to-end De-identification: Is high accuracy the only metric?
CoRR
Vithya Yogarajan, Bernhard Pfahringer, Michael Mayo
2018 J jnl
A survey of automatic de-identification of longitudinal clinical narratives.
CoRR
Vithya Yogarajan, Michael Mayo, Bernhard Pfahringer