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

• Wang, 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.), AI 2020: Advances in Artificial Intelligence. AI 2020. Lecture Notes in Computer Science Vol. LNAI 12576 (pp. 445-457). Cham: Springer. doi:10.1007/978-3-030-64984-5_35 Open Access version: https://hdl.handle.net/10289/14027

• Sahito, A., Frank, E., & Pfahringer, B. (2020). Transfer of pretrained model weights substantially improves semi-supervised image classification. In M. Gallagher, N. Noustafa, & E. Lakshika (Eds.), AI 2020: Advances in Artificial Intelligence. AI 2020. Lecture Notes in Computer Science Vol. LNAI 12576 (pp. 434-444). Cham: Springer. doi:10.1007/978-3-030-64984-5_34

• Compton, R., Frank, E., Patros, P., & Koay, A. (2020). Embedding Java classes with code2vec: improvements from variable obfuscation. In IEEE/ACM 17th International Conference on Mining Software Repositories (MSR 2020). Seoul, Republic of Korea. doi:10.1145/3379597.3387445 Open Access version: https://hdl.handle.net/10289/13618

• Montiel, 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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