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Professor Eibe Frank

Professor (Computer Science)

Qualifications: Dipl-Inf Karlsruhe PhD Waikato

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

  • 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

  • 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

  • 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

  • Read, 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

Find more research publications by Eibe Frank