Research Publications for Eibe T Frank

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Author's Publications

Publications ByFRANK, Eibe T

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  • 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

  • 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

  • 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

  • Bravo Marquez, F., Frank, E., & Pfahringer, B. (2016). From opinion lexicons to sentiment classification of tweets and vice versa: a transfer learning approach. In Proc 2016 IEEE/WIC/ACM International Conference on Web Intelligence (pp. 145-152). Omaha, Nebraska, USA: IEEE Computer Society. doi:10.1109/WI.2016.29

  • Beckham, C., Hall, M., & Frank, E. (2016). WekaPyScript: Classification, regression, and filter schemes for WEKA implemented in Python. Journal of Open Research Software, 4, e33. doi:10.5334/jors.108

  • Bravo Marquez, F., Frank, E., Mohammad, S. M., & Pfahringer, B. (2016). Determining word–emotion associations from tweets by multi-label classification. In Proc 2016 IEEE/WIC/ACM International Conference on Web Intelligence (pp. 536-539). Omaha, Nabraska, USA: IEEE Computer Society. doi:10.1109/WI.2016.90

  • Smith, T. C., & Frank, E. (2016). Introducing machine learning concepts with WEKA. In E. Mathé, & S. Davis (Eds.), Statistical Genomics: Methods and Protocols (Vol. 1418, pp. 353-378). Springer. doi:10.1007/978-1-4939-3578-9_17

  • Bravo Marquez, F., Frank, E., & Pfahringer, B. (2016). Building a Twitter opinion lexicon from automatically-annotated tweets. Knowledge-Based Systems, 108(15), 65-78. doi:10.1016/j.knosys.2016.05.018

  • Witten, I. H., Frank, E., Hall, M. A., & Pal, C. J. (2016). Data mining: Practical machine learning tools and techniques (4th edition) (4th ed.). Morgan Kaufmann.

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