Contact Details

Email: eibe@waikato.ac.nz
Room: G.2.18
Phone: +64 7 838 4396
Extension: 4396
Website: http://www.cs.waikato.ac.nz/~eibe/

Research Interests

Professor Frank is a computer scientist whose primary area of interest is machine learning and its applications. He is a core developer of the WEKA machine learning software and has more than 100 publications on machine learning methods and their application to data mining, text mining, and areas of research outside computer science.

Recent Publications

• Yap, M. H., Hachiuma, R., Alavi, A., Brüngel, R., Cassidy, B., Goyal, M., . . . Frank, E. (2021). Deep learning in diabetic foot ulcers detection: A comprehensive evaluation. Computers in Biology and Medicine, 135, 104596. doi:10.1016/j.compbiomed.2021.104596

• 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: https://hdl.handle.net/10289/14147

• 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

• Cassidy, 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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