Professor Albert Bifet

Te Ipu o te Mahara AI Institute Director

Qualifications: PhD UPC

Contact Details

Room: FG.2.02
Phone: +64 7 838 4704
Extension: 4704

About Albert

Albert is the Te Ipu o te Mahara AI Institute director. He is a computer scientist whose primary area of interest is Artificial Intelligence/Machine Learning for data streams and its applications. He is a core developer of the MOA machine learning software and has more than 150 publications on machine learning methods and their applications.

Te Ipu o te Mahara AI Institute:

Recent Publications

  • Montiel, J., Halford, M., Mastelini, S. M., Bolmier, G., Sourty, R., Vaysse, R., . . . Bifet, A. (2021). River: Machine learning for streaming data in Python. Journal of Machine Learning Research, 22(10), 1-8. Retrieved from Open Access version:

  • Bahri, M., Bifet, A., Gama, J., Gomes, H. M., & Maniu, S. (2021). Data stream analysis: foundations, major tasks and tools. WIREs: Data Mining and Knowledge Discovery, 11(3). doi:10.1002/widm.1405

  • del Campo-Ávila, J., Takilalte, A., Bifet, A., & Mora-López, L. (2021). Binding data mining and expert knowledge for one-day-ahead prediction of hourly global solar radiation. Expert Systems with Applications, 167(1). doi:10.1016/j.eswa.2020.114147

  • Mordvanyuk, N., López, B., & Bifet, A. (2021). vertTIRP: Robust and efficient vertical frequent time interval-related pattern mining. Expert Systems with Applications, 168. doi:10.1016/j.eswa.2020.114276

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