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ORCIDVithya Yogarajan
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2020 – today
- 2023
[c13]Vithya Yogarajan, Gillian Dobbie, Timothy Pistotti, Joshua Bensemann, Kobe Knowles:
Challenges in Annotating Datasets to Quantify Bias in Under-represented Society. ETHAICS@IJCAI 2023- [c12]Kobe Knowles, Joshua Bensemann, Diana Benavides Prado, Vithya Yogarajan, Michael Witbrock, Gillian Dobbie, Yang Chen:
Neuromodulation Gated Transformer. Tiny Papers @ ICLR 2023 - [c11]Vithya Yogarajan, Gillian Dobbie, Henry Gouk:
Effectiveness of Debiasing Techniques: An Indigenous Qualitative Analysis. Tiny Papers @ ICLR 2023 - [c10]Vithya Yogarajan, Gillian Dobbie, Sharon Leitch, David Reith:
Developing a Fair AI-based Healthcare Framework with Feedback Loop. KDH@IJCAI 2023 - [c9]Aaron Keesing
, Yun Sing Koh, Vithya Yogarajan, Michael Witbrock:
Emotion Recognition ToolKit (ERTK): Standardising Tools For Emotion Recognition Research. ACM Multimedia 2023: 9693-9696 - [e1]Pari Delir Haghighi, Eric Pardede, Gillian Dobbie, Vithya Yogarajan, Ngurah Agus Sanjaya Er, Gabriele Kotsis, Ismail Khalil:
Information Integration and Web Intelligence - 25th International Conference, iiWAS 2023, Denpasar, Bali, Indonesia, December 4-6, 2023, Proceedings. Lecture Notes in Computer Science 14416, Springer 2023, ISBN 978-3-031-48315-8 [contents] - [i10]Vithya Yogarajan, Gillian Dobbie, Henry Gouk:
Effectiveness of Debiasing Techniques: An Indigenous Qualitative Analysis. CoRR abs/2304.11094 (2023) - [i9]Kobe Knowles, Joshua Bensemann, Diana Benavides-Prado, Vithya Yogarajan, Michael Witbrock, Gillian Dobbie, Yang Chen:
Neuromodulation Gated Transformer. CoRR abs/2305.03232 (2023) - [i8]Vithya Yogarajan, Gillian Dobbie, Timothy Pistotti, Joshua Bensemann, Kobe Knowles:
Challenges in Annotating Datasets to Quantify Bias in Under-represented Society. CoRR abs/2309.08624 (2023) - [i7]Vithya Yogarajan, Gillian Dobbie, Te Taka Keegan, Rostam J. Neuwirth:
Tackling Bias in Pre-trained Language Models: Current Trends and Under-represented Societies. CoRR abs/2312.01509 (2023) - 2022
- [j2]Vithya Yogarajan, Gillian Dobbie, Sharon Leitch, Te Taka Keegan, Joshua Bensemann, Michael Witbrock, Varsha Asrani, David Reith:
Data and model bias in artificial intelligence for healthcare applications in New Zealand. Frontiers Comput. Sci. 4 (2022) - [c8]Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer:
Predicting COVID-19 Patient Shielding: A Comprehensive Study. AI 2022: 332-343 - [c7]Rajchada Chanajitt, Bernhard Pfahringer, Heitor Murilo Gomes, Vithya Yogarajan:
Multiclass Malware Classification Using Either Static Opcodes or Dynamic API Calls. AI 2022: 427-441 - [c6]Vithya Yogarajan, Bernhard Pfahringer, Tony Smith, Jacob Montiel:
Concatenating BioMed-Transformers to Tackle Long Medical Documents and to Improve the Prediction of Tail-End Labels. ICANN (2) 2022: 209-221 - [c5]David Trye, Vithya Yogarajan, Jemma König, Te Taka Keegan, David Bainbridge, Mark D. Apperley:
A Hybrid Architecture for Labelling Bilingual Māori-English Tweets. AACL/IJCNLP (Findings) 2022: 119-130 - [c4]Jesin James, Vithya Yogarajan, Isabella Shields, Catherine I. Watson, Peter Keegan, Keoni Mahelona, Peter-Lucas Jones:
Language Models for Code-switch Detection of te reo Māori and English in a Low-resource Setting. NAACL-HLT (Findings) 2022: 650-660 - [i6]Jesin James, Isabella Shields, Vithya Yogarajan, Peter J. Keegan, Catherine I. Watson, Peter-Lucas Jones, Keoni Mahelona:
The Development of a Labelled te reo Māori-English Bilingual Database for Language Technology. CoRR abs/2208.09778 (2022) - 2021
- [c3]Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer:
Transformers for Multi-label Classification of Medical Text: An Empirical Comparison. AIME 2021: 114-123 - [i5]Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer:
Predicting COVID-19 Patient Shielding: A Comprehensive Study. CoRR abs/2110.00183 (2021) - [i4]Vithya Yogarajan, Bernhard Pfahringer, Tony Smith, Jacob Montiel:
Improving Predictions of Tail-end Labels using Concatenated BioMed-Transformers for Long Medical Documents. CoRR abs/2112.01718 (2021) - 2020
- [j1]Vithya Yogarajan, Bernhard Pfahringer, Michael Mayo:
A review of Automatic end-to-end De-Identification: Is High Accuracy the Only Metric? Appl. Artif. Intell. 34(3): 251-269 (2020) - [c2]Vithya Yogarajan, Henry Gouk, Tony Smith, Michael Mayo, Bernhard Pfahringer:
Comparing High Dimensional Word Embeddings Trained on Medical Text to Bag-of-Words for Predicting Medical Codes. ACIIDS (1) 2020: 97-108 - [i3]Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer:
Seeing The Whole Patient: Using Multi-Label Medical Text Classification Techniques to Enhance Predictions of Medical Codes. CoRR abs/2004.00430 (2020)
2010 – 2019
- 2019
- [c1]Michael Mayo, Vithya Yogarajan:
A Nearest Neighbour-Based Analysis to Identify Patients from Continuous Glucose Monitor Data. ACIIDS (2) 2019: 349-360 - [i2]Vithya Yogarajan, Bernhard Pfahringer, Michael Mayo:
Automatic end-to-end De-identification: Is high accuracy the only metric? CoRR abs/1901.10583 (2019) - 2018
- [i1]Vithya Yogarajan, Michael Mayo, Bernhard Pfahringer:
A survey of automatic de-identification of longitudinal clinical narratives. CoRR abs/1810.06765 (2018)
Coauthor Index
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