| 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 | 178 | 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 | 5 | 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 | 3 | 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 | 2 | 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 | | 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 | | 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 | | 2023 |
| Creating Powerful and Interpretable Models withRegression Networks. L O'Neill, SD Angus, S Borgohain, N Chmait, DL Dowe CoRR, 2021 | | 2021 |
| Zhang, Yingqi 7 S Angus, S Beck, T Dwyer, S Goodwin, J Kusnick, J Liem, K Marriott, ... | | |
