Vithya Yogarajan

According to our database, Vithya Yogarajan authored at least 21 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Emotion Recognition ToolKit (ERTK): Standardising Tools For Emotion Recognition Research.

Aaron Keesing, Yun Sing Koh, Vithya Yogarajan, Michael Witbrock

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Developing a Fair AI-based Healthcare Framework with Feedback Loop.

Vithya Yogarajan, Gillian Dobbie, Sharon Leitch, David Reith

Proceedings of the 6th International Workshop on Knowledge Discovery from Healthcare Data co-located with 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), 2023

Effectiveness of Debiasing Techniques: An Indigenous Qualitative Analysis.

Vithya Yogarajan, Gillian Dobbie, Henry Gouk

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Neuromodulation Gated Transformer.

Kobe Knowles, Joshua Bensemann, Diana Benavides Prado, Vithya Yogarajan, Michael Witbrock, Gillian Dobbie, Yang Chen

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Challenges in Annotating Datasets to Quantify Bias in Under-represented Society.

Vithya Yogarajan, Gillian Dobbie, Timothy Pistotti, Joshua Bensemann, Kobe Knowles

Proceedings of the Workshop on Ethics and Trust in Human-AI Collaboration: Socio-Technical Approaches (ETHAICS 2023) co-located with 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023) Macao, 2023

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

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

CoRR, 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

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

A Hybrid Architecture for Labelling Bilingual Māori-English Tweets.

David Trye, Vithya Yogarajan, Jemma König, Te Taka Keegan, David Bainbridge, Mark D. Apperley

Proceedings of the Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, 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

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Predicting COVID-19 Patient Shielding: A Comprehensive Study.

Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer

Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

Multiclass Malware Classification Using Either Static Opcodes or Dynamic API Calls.

Rajchada Chanajitt, Bernhard Pfahringer, Heitor Murilo Gomes, Vithya Yogarajan

Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022

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

Transformers for Multi-label Classification of Medical Text: An Empirical Comparison.

Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer

Proceedings of the Artificial Intelligence in Medicine, 2021

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

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

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

Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020

2019

Automatic end-to-end De-identification: Is high accuracy the only metric?

Vithya Yogarajan, Bernhard Pfahringer, Michael Mayo

CoRR, 2019

A Nearest Neighbour-Based Analysis to Identify Patients from Continuous Glucose Monitor Data.

Michael Mayo, Vithya Yogarajan

Proceedings of the Intelligent Information and Database Systems - 11th Asian Conference, 2019

2018

A survey of automatic de-identification of longitudinal clinical narratives.

Vithya Yogarajan, Michael Mayo, Bernhard Pfahringer

CoRR, 2018