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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

  • 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 P. Sitek, M. Petranik, M. Krótkiewicz, & C. Srinilta (Eds.), Proc 12th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2020) LNCS 12033 (pp. 97-108). Phuket, Thailand: Springer. doi:10.1007/978-3-030-41964-6_9 Open Access version: https://hdl.handle.net/10289/13591

  • 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.

  • Rivolli, A., Read, J., Soares, C., Pfahringer, B., & de Carvalho, A. C. P. L. F. (2020). An empirical analysis of binary transformation strategies and base algorithms for multi-label learning. Machine Learning. doi:10.1007/s10994-020-05879-3

  • Bahri, M., Pfahringer, B., Bifet, A., & Maniu, S. (2020). Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12080 LNCS (pp. 40-53). doi:10.1007/978-3-030-44584-3_4

Find more research publications by Bernhard Pfahringer