Professor 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
Pfahringer, B. (2020). Massage. In Proceedings of the Confluence 2020 - 10th International Conference on Cloud Computing, Data Science and Engineering (pp. xiii). IEEE. doi:10.1109/Confluence47617.2020.9058231
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
Yogarajan, V., Pfahringer, B., & Mayo, M. (2020). A review of automatic end-to-end de-Identification: Is high accuracy the only metric?. Applied Artificial Intelligence, 34(3), 251-269. doi:10.1080/08839514.2020.1718343
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
Keywords
Computing; Data mining; Machine Learning
Contact Details
Email: [email protected]Room: G.1.24
Phone: +64 7 838 4041