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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

  • 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

  • Gurulian, I., Markantonakis, K., Shepherd, C., Frank, E., & Akram, R. J. (2017). Proximity assurances based on natural and artificial ambient environments. In P. Farshim, & E. Simion (Eds.), Innovative Security Solutions for Information Technology and Communications. SecITC 2017 (pp. 83-103). Cham: Spinger. doi:10.1007/978-3-319-69284-5_7

  • 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.

  • 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

Find more research publications by Eibe Frank