Publications

2023

Hongyu Wang, Henry Gouk, Huon Fraser, Eibe Frank, Bernhard Pfahringer, Michael Mayo & Geoffrey Holmes. Experiments in cross-domain few-shot learning for image classification, Journal of the Royal Society of New Zealand, 2023, 169-191. [doi | pdf]

2022

G Holmes, E Frank, D Fletcher, C Sterling. Efficiently correcting machine learning: considering the role of example ordering in human-in-the-loop training of image classification models. In 27th International Conference on Intelligent User Interfaces, 584-593. [doi]

Keegan, T. T., Apperley, M., & Reutemann, P. (2022) Indigenous Language Promotion in a Smart Home. In Foundation for Endangered Languages FEL XXVI, Conference Book, 124-130. [pdf]

Pullar-Strecker, Z., Dost, K., Frank, E. & Wicker, J. Hitting the target: stopping active learning at the cost-based optimum. Machine Learning (2022). [doi | pdf]

2021

Attaullah Sahito, Eibe Frank, and Bernhard Pfahringer. Better self-training for image classification through self-supervision. In Proc 34th Australasian Joint Conference on Artificial Intelligence, Sydney, Australia. Springer, 2021. [ bib | pdf ]

2020

Hongyu Wang, Henry Gouk, Eibe Frank, Bernhard Pfahringer, and Michael Mayo. A comparison of machine learning methods for cross-domain few-shot learning. In Proc 33rd Australasian Joint Conference on Artificial Intelligence, Canberra, Australia. Springer, 2020. [ bib | pdf ]

Attaullah Sahito, Eibe Frank, and Bernhard Pfahringer. Transfer of pretrained model weights substantially improves semi-supervised image classification. In Proc 33rd Australasian Joint Conference on Artificial Intelligence, Canberra, Australia. Springer, 2020. [ bib | pdf ]