Professor 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
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: 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
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
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Keywords
Data mining; Machine Learning