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Professor Albert Bifet

Te Ipu o te Mahara AI Institute Director

Qualifications: PhD UPC

Contact Details

Email: abifet@waikato.ac.nz
Room: FG.2.02
Phone: +64 7 838 4704
Extension: 4704
Website: http://albertbifet.com/

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: https://ai.waikato.ac.nz/

Recent Publications

  • Zhang, W., Bifet, A., Zhang, X., Weiss, J. C., & Nejdl, W. (2021). FARF: A Fair and Adaptive Random Forests Classifier. In K. Karlapalem, H. Cheng, N. Ramakrishnan, R. K. Agrawal, P. K. Reddy, J. Srivastava, & T. Chakraborty (Eds.), Advances in Knowledge Discovery and Data Mining. PAKDD 2021. Lecture Notes in Computer Science Vol. 12713 (pp. 245-256). Cham: Springer. doi:10.1007/978-3-030-75765-6_20

  • Peretz-Andersson, E., Lavesson, N., Bifet, A., & Mikalef, P. (2021). AI transformation in the public sector: ongoing research. In Proc 33rd Workshop of the Swedish Artificial Intelligence Society (SAIS 2021) (pp. 4 pages). Sweden: IEEE. doi:10.1109/SAIS53221.2021.9483960

  • 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

  • Gomes, H., Read, J., Bifet, A., & Durrant, R. J. (2021). Learning from evolving data streams through ensembles of random patches. Knowledge and Information Systems, 63(7), 1597-1625. doi:10.1007/s10115-021-01579-z

Find more research publications by Albert Bifet