Professor Bernhard Pfahringer
Professor (Computer Science)
Qualifications: MEng PhD Vienna Tech
Contact Details
Email: bernhard@waikato.ac.nz
Room: G.1.24
Phone: +64 7 838 4041
Extension: 4041
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).
Research Interests
Data mining, machine learning, heuristic optimisation, programming languages.
Teaching Commitments
Recent Publications
Bravo-Marquez, F., Khanchandani, A., & Pfahringer, B. (2021). Incremental word vectors for time-evolving sentiment lexicon induction. Cognitive Computation. doi:10.1007/s12559-021-09831-y
Read, J., Pfahringer, B., Holmes, G., & Frank, E. (2021). Classifier chains: A review and perspectives. Journal of Artificial Intelligence Research, 70, 683-718. doi:10.1613/jair.1.12376
Yogarajan, V., Montiel, J., Smith, T., & Pfahringer, B. (2020). Seeing the whole patient: Using multi-label medical text classification techniques to enhance predictions of medical codes.. CoRR, abs/2004.00430.
Wang, H., Gouk, H., Frank, E., Pfahringer, B., & Mayo, M. (2020). A comparison of machine learning methods for cross-domain few-shot learning. In M. Gallagher, N. Moustafa, & E. Lakshika (Eds.), Proc 33rd Australasian Joint Conference on Advances in Artificial Intelligence (AI 2020), LNAI 12576 (pp. 445-457). Cham: Springer. doi:10.1007/978-3-030-64984-5_35