Research Publications for Geoffrey Holmes
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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, 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
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
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, GeoffreySharifi, N., Gong, Z., Holmes, G., & Chen, Y. (2021). A feasibility study of in vivo control and tracking of microrobot using taxicab geometry for direct drug targeting. IEEE Transactions on NanoBioscience, 20(2), 235-245. doi:10.1109/TNB.2021.3062006
Mitchell, R., Frank, E., & Holmes, G. (2021). An empirical study of moment estimators for quantile approximation. ACM Transactions on Database Systems, 46(1), 1-21. doi:10.1145/3442337
Open Access version at:
https://hdl.handle.net/10289/14197
Other publications by:
FRANK, Eibe T :: HOLMES, GeoffreyRead, J., Pfahringer, B., Holmes, G., & Frank, E. (2021). Classifier chains: A review and perspectives. Journal of Artificial Intelligence Research, 70, 683-718. doi:10.1613/jair.1.12376
Barker, R. D., Barker, S. L. L., Cracknell, M. J., Stock, E. D., & Holmes, G. (2021). Quantitative mineral mapping of drill core surfaces II: long-wave infrared mineral characterization using μXRF and machine learning. Economic Geology, 116(4), 821-836. doi:10.5382/econgeo.4804
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