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Associate Professor Eibe Frank

Associate 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
Fax: +64 7 858 5095
Website: http://www.cs.waikato.ac.nz/~eibe/

Research Interests

My main interests are machine learning techniques for data mining and text mining.

Recent Publications

  • Gurulian, I., Shepherd, C., Frank, E., Markantonakis, K., Akram, R. N., & Mayes, K. (2017). On the effectiveness of ambient sensing for detecting NFC relay attacks. In Proc 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (pp. 41-49). Sydney, Australia: IEEE. doi:10.1109/Trustcom/BigDataSE/ICESS.2017.218

  • Mitchell, R., & Frank, E. (2017). Accelerating the XGBoost algorithm using GPU computing. PeerJ Computer Science, 3. doi:10.7717/peerj-cs.127 Open Access version: hdl:10289/11227

  • Shepherd, C., Gurulian, I., Frank, E., Markantonakis, K., Akram, R. N., Panaousis, E., & Mayes, K. (2017). The applicability of ambient sensors as proximity evidence for NFC transactions. In Proc Mobile Security Technologies (MOST) 2017 (pp. 10 pages). San Jose, CA: IEEE Computer Society.

  • Mo, J., Frank, E., & Vetrova, V. (2017). Large-scale automatic species identification. In W. Peng, D. Alahakoon, & X. Li (Eds.), Proc 30th Australasian Joint Conference on Advances in Artificial Intelligence Vol. LNAI 10400 (pp. 301-312). Melbourne, Australia: Springer. doi:10.1007/978-3-319-63004-5_24 Open Access version: hdl:10289/11266

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