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

  • García-Martín, E., Bifet, A., & Lavesson, N. (2021). Energy modeling of Hoeffding tree ensembles. Intelligent Data Analysis, 25(1), 81-104. doi:10.3233/IDA-194890

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

  • Halstead, B., Koh, Y. S., Riddle, P., Pears, R., Pechenizkiy, M., & Bifet, A. (2021). Recurring concept memory management in data streams: exploiting data stream concept evolution to improve performance and transparency. Data Mining and Knowledge Discovery. doi:10.1007/s10618-021-00736-w

  • Bifet, A., Ferreira, C., Gama, J., & Gomes, H. M. (2021). EDITORIAL MESSAGE. In Proceedings of the ACM Symposium on Applied Computing (pp. 417).

Find more research publications by Albert Bifet