Professor Albert Bifet
Te Ipu o te Mahara AI Institute Director
Qualifications: PhD UPC
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/
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).
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