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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

  • Barracchia, E. P., Pio, G., Bifet, A., Gomes, H. M., Pfahringer, B., & Ceci, M. (2022). LP-ROBIN: Link prediction in dynamic networks exploiting incremental node embedding. Information Sciences, 606, 702-721. doi:10.1016/j.ins.2022.05.079

  • Bifet, A., Ferreira, C., Gama, J., & Gomes, H. M. (2022). EDITORIAL MESSAGE Special Track on Data Streams. In Proceedings of the ACM Symposium on Applied Computing (pp. 449). doi:10.1145/3535426

  • Petri, I., Chirila, I., Gomes, H., Bifet, A., & Rana, O. (2022). Resource-Aware Edge-Based Stream Analytics. IEEE Internet Computing. doi:10.1109/MIC.2022.3152478

  • Manapragada, C., Gomes, H. M., Salehi, M., Bifet, A., & Webb, G. I. (2022). An eager splitting strategy for online decision trees in ensembles. Data Mining and Knowledge Discovery. doi:10.1007/s10618-021-00816-x

Find more research publications by Albert Bifet