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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

  • Wang, H., Frank, E., Pfahringer, B., Mayo, M., & Holmes, G. (2022). Cross-domain Few-shot Meta-learning Using Stacking. arXiv. Retrieved from http://arxiv.org/abs/2205.05831v1

  • Yogarajan, V., Montiel, J., Smith, T., & Pfahringer, B. (2022). Predicting COVID-19 patient shielding: A comprehensive study. In Lecture Notes in Computer Science (pp. 332-343). Springer International Publishing. doi:10.1007/978-3-030-97546-3_27

  • Sahito, A., Frank, E., & Pfahringer, B. (2022). Better self-training for image classification through self-supervision. In G. Long, X. Yu, & S. Wang (Eds.), Proc 34th Australisian Joint Conference on Advances in Artificial Intelligence (AI 2021), LNAI 13151 (pp. 645-657). Sydney, Australia: Springer. doi:10.1007/978-3-030-97546-3_52

  • Wang, H., Gouk, H., Fraser, H., Frank, E., Pfahringer, B., Mayo, M., & Holmes, G. (2022). Experiments in cross-domain few-shot learning for image classification. Journal of the Royal Society of New Zealand, 1-23. doi:10.1080/03036758.2022.2059767

Find more research publications by Bernhard Pfahringer

Keywords

Computing; Data mining; Machine Learning


Contact Details

Email: [email protected]
Room: G.2.23
Phone: +64 7 838 4041