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

  • 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

  • Lobo, J. L., Del Ser, J., Osaba, E., Bifet, A., & Herrera, F. (2021). CURIE: a cellular automaton for concept drift detection. Data Mining and Knowledge Discovery. doi:10.1007/s10618-021-00776-2

  • Kourtellis, N., Herodotou, H., Grzenda, M., Wawrzyniak, P., & Bifet, A. (2021). S2CE: A hybrid cloud and edge orchestrator for mining exascale distributed streams. In Proceedings of the 15th ACM International Conference on Distributed and Event-Based Systems (pp. 103-113). doi:10.1145/3465480.3466926

  • 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

Find more research publications by Albert Bifet