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