Research Publications for Eibe T Frank
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Holmes, G., Frank, E., Fletcher, D., & Sterling, C. (2022). Efficiently correcting machine learning: considering the role of example ordering in human-in-the-loop training of image classification models. In Proc 27th International Conference on Intelligent User Interfaces (IUI '22) (pp. 584-593). New York, NY, USA: ACM. doi:10.1145/3490099.3511110
Mitchell, R., Cooper, J., Frank, E., & Holmes, G. (2022). Sampling permutations for Shapley value estimation. Journal of Machine Learning Research, 23(43), 1-46. Retrieved from https://jmlr.org/papers/volume23/21-0439/21-0439.pdf
Open Access version at:
https://hdl.handle.net/10289/14742
Other publications by:
FRANK, Eibe T :: HOLMES, GeoffreyFalconer, J. R., Frank, E., Polaschek, D. L. L., & Joshi, C. (2022). Methods for eliciting informative prior distributions: A critical review. Decision Analysis. doi:10.1287/deca.2022.0451
Wang, H., Gouk, H., Fraser, H., Frank, E., Pfahringer, B., Mayo, M., & Holmes, G. (2022). Experiments in cross-domain few-shot learning for image classification. Journal of the Royal Society of New Zealand, 1-23. doi:10.1080/03036758.2022.2059767
Other publications by:
FRANK, Eibe T :: PFAHRINGER, Bernhard M :: MAYO, Michael J :: HOLMES, GeoffreyWang, H., Frank, E., Pfahringer, B., Mayo, M., & Holmes, G. (2022). Cross-domain Few-shot Meta-learning Using Stacking. arXiv. Retrieved from http://arxiv.org/abs/2205.05831v1
Sahito, A., Frank, E., & Pfahringer, B. (2022). Better self-training for image classification through self-supervision. In G. Long, X. Yu, & S. Wang (Eds.), Proc 34th Australisian Joint Conference on Advances in Artificial Intelligence (AI 2021), LNAI 13151 (pp. 645-657). Sydney, Australia: Springer. doi:10.1007/978-3-030-97546-3_52
Mitchell, R., Frank, E., & Holmes, G. (2022). GPUTreeShap: massively parallel exact calculation of SHAP scores for tree ensembles. PeerJ Computer Science, 8, e880. doi:10.7717/peerj-cs.880
Open Access version at:
https://hdl.handle.net/10289/14815
Other publications by:
FRANK, Eibe T :: HOLMES, GeoffreyMitchell, R., Stokes, D., Frank, E., & Holmes, G. (2022). Bandwidth-optimal random shuffling for GPUs. ACM Transactions on Parallel Computing, 9(1). doi:10.1145/3505287
Bull, D., Lim, N., & Frank, E. (2021). Perceptual improvements for Super-Resolution of Satellite Imagery. In M. J. Cree (Ed.), Proc 2021 36th International Conference on Image and Vision Computing New Zealand (IVCNZ) (pp. 1-6). Tauranga, NZ: IEEE. doi:10.1109/ivcnz54163.2021.9653355
Gouk, H., Frank, E., Pfahringer, B., & Cree, M. J. (2021). Regularisation of neural networks by enforcing Lipschitz continuity. Machine Learning, 110, 393-416. doi:10.1007/s10994-020-05929-w
Open Access version at:
https://hdl.handle.net/10289/14147
Other publications by:
FRANK, Eibe T :: PFAHRINGER, Bernhard M :: CREE, Michael J
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