Lachlan O'Neill
Lachlan O'Neill
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Cited by
Cited by
Proximity forest: an effective and scalable distance-based classifier for time series
B Lucas, A Shifaz, C Pelletier, L O’Neill, N Zaidi, B Goethals, F Petitjean, ...
Data Mining and Knowledge Discovery 33 (3), 607-635, 2019
Canarex: Contextually aware narrative extraction for semantically rich text-as-data applications
N Anantharama, S Angus, L O’Neill
Findings of the Association for Computational Linguistics: EMNLP 2022, 3551-3564, 2022
Creating powerful and interpretable models with regression networks
L O'Neill, S Angus, S Borgohain, N Chmait, DL Dowe
arXiv preprint arXiv:2107.14417, 2021
Quantitative discourse analysis at Scale—AI, NLP and the transformer revolution
L O’Neill, N Anantharama, W Buntine, SD Angus
SoDa Laboratories Working Paper Series, 2021
Do Words Matter: Visualising Historical Policy and Media Narratives around Opportunity and Disadvantage in Australia
S Goodwin, SD Angus, L O’Neill, N Van Nieuwenhove, B Wu, Y Zhang, ...
2023 IEEE 8th Workshop on Visualization for the Digital Humanities (VIS4DH …, 2023
Models Teaching Models: Improving Model Accuracy with Slingshot Learning
L O’Neill, N Anantharama, S Borgohain, SD Angus
Proceedings of the 17th Conference of the European Chapter of the …, 2023
Discourse lines: visualising current policy and media storylines of opportunity and disadvantage with narrative exploration maps
S Angus, S Borgohain, S Fan, S Goodwin, A Kristanto, L O'Neill, ...
NLVIZ 2024: Exploring Research Opportunities for Natural Language, Text, and …, 2023
Creating Powerful and Interpretable Models withRegression Networks.
L O'Neill, SD Angus, S Borgohain, N Chmait, DL Dowe
CoRR, 2021
Zhang, Yingqi 7
S Angus, S Beck, T Dwyer, S Goodwin, J Kusnick, J Liem, K Marriott, ...
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