Nick Lim Jin Sean
Nick Lim Jin Sean
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A simple but strong baseline for online continual learning: Repeated augmented rehearsal
Y Zhang, B Pfahringer, E Frank, A Bifet, NJS Lim, Y Jia
Advances in Neural Information Processing Systems 35, 14771-14783, 2022
Studying and exploiting the relationship between model accuracy and explanation quality
Y Jia, E Frank, B Pfahringer, A Bifet, N Lim
Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021
Linear dimensionality reduction in linear time: Johnson-lindenstrauss-type guarantees for random subspace
N Lim, RJ Durrant
arXiv preprint arXiv:1705.06408, 2017
Perceptual improvements for super-resolution of satellite imagery
D Bull, N Lim, E Frank
2021 36th International Conference on Image and Vision Computing New Zealand …, 2021
A diversity-aware model for majority vote ensemble accuracy
B Durrant, N Lim
International Conference on Artificial Intelligence and Statistics, 4078-4087, 2020
Showcasing the TAIAO project: providing resources for machine learning from images of New Zealand's natural environment
N Lim, A Bifet, D Bull, E Frank, Y Jia, J Montiel, B Pfahringer
Journal of the Royal Society of New Zealand 53 (1), 69-81, 2023
Custom digital cell generation flow for 65nm processes
KL Yeoh, JS Lim, KL Goh, SM Tee
SoC Design Conference (ISOCC), 2009 International, 177-181, 2009
Core excitation modeling methodology for efficient power delivery analysis
FN Tan, SG Pang, D Sasidaran, CS Lee, JS Lim, PL Ooi, LK Yong
2008 10th Electronics Packaging Technology Conference, 1415-1420, 2008
New zealand open environmental science data sets
NJS Lim, J Montiel, A Bifet
Star Decomposition of Bipartite Graphs
JS Lim
University of Waikato, 2015
Enhancing aerial imagery analysis: leveraging explainability and segmentation
A Dwivedi, N Lim, A Bifet, E Frank, B Pfahringer
2024 International Conference on Machine Intelligence for GeoAnalytics and …, 2024
Repeated augmented rehearsal: a simple but strong baseline for online continual learning
Y Zhang, B Pfahringer, E Frank, A Bifet, NJS Lim, Y Jia
Proceedings of the 36th International Conference on Neural Information …, 2022
A regional flood impact prediction tool using machine learning to manage flood risk in real-time. A case study in New Zealand.
P Mourot, N Lim, B Pfahringer, A Bifet
EGU General Assembly Conference Abstracts, EGU22-12455, 2022
Transient current modeling & power delivery analysis for next gen chipset core
FN Tan, A Chai, SG Pang, D Sasidaran, KH Ng, SC Deo, CS Lee, JS Lim, ...
2007 International Conference on Electronic Materials and Packaging, 1-23, 2007
A Comparative Study of Three State-of-The-Art Machine Learning Algorithms for Predicting Tree Stem Radius Measured by Dendrometer: A Case Study
G Weigert Cassales, S Salekin, N Lim, D Meason, A Bifet, B Pfahringer, ...
Available at SSRN 4827038, 0
Closed-loop Control for Online Continual Learning
Y Zhang, E Frank, B Pfahringer, A Bifet, NJS Lim, A Jia
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