Research Publications for Eibe T Frank
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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
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
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FRANK, Eibe T :: PFAHRINGER, Bernhard M :: CREE, Michael JCassidy, B., Reeves, N. D., Pappachan, J. M., Gillespie, D., O'Shea, C., Rajbhandari, S., . . . Yap, M. H. (2021). The DFUC 2020 dataset: Analysis towards diabetic foot ulcer detection. European Endocrinology, 1(1), 5-11. doi:10.17925/EE.2021.1.1.5
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FRANK, Eibe TRead, 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
Mayo, M., & Frank, E. (2020). Improving naive Bayes for regression with optimised artificial surrogate data. Applied Artificial Intelligence, 34(6), 484--514. doi:10.1080/08839514.2020.1726615
Open Access version at:
https://hdl.handle.net/10289/12514
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MAYO, Michael J :: FRANK, Eibe TWang, H., Gouk, H., Frank, E., Pfahringer, B., & Mayo, M. (2020). A comparison of machine learning methods for cross-domain few-shot learning. In M. Gallagher, N. Moustafa, & E. Lakshika (Eds.), Proc 33rd Australasian Joint Conference on Advances in Artificial Intelligence (AI 2020), LNAI 12576 (pp. 445-457). Cham: Springer. doi:10.1007/978-3-030-64984-5_35
Sahito, A., Frank, E., & Pfahringer, B. (2020). Transfer of pretrained model weights substantially improves semi-supervised image classification. In M. Gallagher, N. Moustafa, & E. Lakshika (Eds.), Proc 33rd Australasian Joint Conference on Advances in Artificial Intelligence (AI 2020), LNAI 12576 (pp. 434-444). Cham: Springer. doi:10.1007/978-3-030-64984-5_34
Open Access version at:
https://hdl.handle.net/10289/14030
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FRANK, Eibe T :: PFAHRINGER, Bernhard MMontiel, J., Mitchell, R., Frank, E., Pfahringer, B., Abdessalem, T., & Bifet, A. (2020). Adaptive XGBoost for evolving data streams. In Proc 2020 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). Glasgow, UK: IEEE. doi:10.1109/IJCNN48605.2020.9207555
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BIFET FIGUEROL, Albert C :: MONTIEL LOPEZ, Jacob :: FRANK, Eibe T :: PFAHRINGER, Bernhard MCompton, R., Frank, E., Patros, P., & Koay, A. (2020). Embedding Java classes with code2vec: improvements from variable obfuscation. In Proc IEEE/ACM 17th International Conference on Mining Software Repositories (MSR 2020) (pp. 243-253). New York, NY: ACM. doi:10.1145/3379597.3387445
Open Access version at:
https://hdl.handle.net/10289/13618
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FRANK, Eibe T :: PATROS, Panagiotis (Panos) :: KOAY, Abigail M YLeathart, T., Frank, E., Pfahringer, B., & Holmes, G. (2019). Ensembles of nested dichotomies with multiple subset evaluation. In Q. Yang, Z. -H. Zhou, Z. Gong, M. -L. Zhang, & S. -J. Huang (Eds.), Advances in Knowledge Discovery and Data Mining: Proc 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2019), LNCS 11439 Vol. Part I (pp. 81-93). Cham: Springer. doi:10.1007/978-3-030-16148-4_7