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 | 4 | 2021 |
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 | 2 | 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 |
Bayesian Neural Network Versus Ex-Post Calibration For Prediction Uncertainty S Borgohain, K Ackermann, R Loaiza-Maya arXiv preprint arXiv:2209.14594, 2022 | | 2022 |
Self-organising Neural Network Hierarchy S Borgohain, G Kowadlo, D Rawlinson, C Bergmeir, K Loo, H Rangarajan, ... Australasian Joint Conference on Artificial Intelligence, 359-370, 2020 | | 2020 |