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Professor Eibe Frank

Eibe Frank

Professor (Computer Science)

Qualifications: Dipl-Inf Karlsruhe PhD Waikato

Personal 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

  • 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

  • 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

  • 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

  • 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 Open Access version: https://hdl.handle.net/10289/14444

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Keywords

Data mining; Machine Learning