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Professor Bernhard Pfahringer

Bernhard Pfahringer

Professor (Computer Science)

Qualifications: MEng PhD Vienna Tech

Personal Website: http://www.cs.waikato.ac.nz/~bernhard/

About Bernhard

Find out more about Bernhard and his work by viewing his professorial lecture: Dawn of the Age of Data: a Lecture to look at the data revolution (October 2015).

Papers Taught

Research Interests

Data mining, machine learning, heuristic optimisation, programming languages.

Recent Publications

  • Yogarajan, V., Gouk, H., Smith, T., Mayo, M., & Pfahringer, B. (2020). Comparing High Dimensional Word Embeddings Trained on Medical Text to Bag-of-Words for Predicting Medical Codes. In Intelligent Information and Database Systems (pp. 97-108). Springer International Publishing. doi:10.1007/978-3-030-41964-6_9

  • Yogarajan, V., Pfahringer, B., & Mayo, M. (2020). A review of Automatic end-to-end De-Identification: Is High Accuracy the Only Metric?. Applied Artificial Intelligence, 34(3), 251-269. doi:10.1080/08839514.2020.1718343

  • Barddal, J. P., Enembreck, F., Gomes, H. M., Bifet, A., & Pfahringer, B. (2019). Boosting decision stumps for dynamic feature selection on data streams. Information Systems, 83, 13-29. doi:10.1016/j.is.2019.02.003 Open Access version: https://hdl.handle.net/10289/12538

  • Leathart, T., Frank, E., Pfahringer, B., & Holmes, G. (2019). On calibration of nested dichotomies. In Q. Yang, Z. -H. Zhou, Z. Gong, M. -L. Zhang, & S. -J. Huang (Eds.), Advances in Knowledge Discovery and Data Mining: Proc 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2019), LNCS 11439 Vol. Part I (pp. 69-80). Cham: Springer. doi:10.1007/978-3-030-16148-4_6

Find more research publications by Bernhard Pfahringer

Keywords

Computing; Data mining; Machine Learning


Contact Details

Email: bernhard@waikato.ac.nz
Room: G.1.24
Phone: +64 7 838 4041