Professor Bernhard Pfahringer
Professor (Computer Science)
Qualifications: MEng PhD Vienna Tech
Contact Details
Email: bernhard@waikato.ac.nz
Room: G.2.23
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
Yogarajan, V., Montiel, J., Smith, T., & Pfahringer, B. (2021). Transformers for multi-label classification of medical text: an empirical comparison. In A. Tucker, P. Henriques Abreu, J. Cardoso, P. Pereira Rodrigues, & D. Riaño (Eds.), Proc 19th International Conference on Artificial Intelligence in Medicine (AIME 2021), LNCS 12721 (pp. 114-123). Virtual Event: Springer. doi:10.1007/978-3-030-77211-6_12
Gouk, H., Frank, E., Pfahringer, B., & Cree, M. J. (2021). Regularisation of neural networks by enforcing Lipschitz continuity. Machine Learning, 110, 393-416. doi:10.1007/s10994-020-05929-w Open Access version: https://hdl.handle.net/10289/14147
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
Ansell, A., Bravo-Marquez, F., & Pfahringer, B. (2021). PolyLM: Learning about polysemy through language modeling. In P. Merlo, J. Tiedemann, & R. Tsarfaty (Eds.), Proc 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume (EACL 2021) (pp. 563-574). online: ACL. Retrieved from https://www.aclweb.org/anthology/2021.eacl-main.45