Professor Albert Bifet

Professor (Computer Science)

Qualifications: PhD UPC

Contact Details

Room: FG.2.02
Phone: +64 7 838 4704
Extension: 4704

About Albert

Albert 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 120 publications on machine learning methods and their applications.

Waikato AI Initiative:

Recent Publications

  • Lobo, J. L., Del Ser, J., Bifet, A., & Kasabov, N. (2020). Spiking Neural Networks and online learning: An overview and perspectives. Neural Networks, 121, 88-100. doi:10.1016/j.neunet.2019.09.004

  • Barddal, J. P., Enembreck, F., Gomes, H. M., Bifet, A., & Pfahringer, B. (2019). Merit-guided dynamic feature selection filter for data streams. Expert Systems with Applications, 116, 227-242. doi:10.1016/j.eswa.2018.09.031

  • Vinagre, J., Bifet, A., Jorge, A. M., & Al-Ghossein, M. (2019). ORSUM 2019 2nd workshop on online recommender systems and user modeling. In Proc 13th ACM Conference on Recommender Systems (RecSys 2019) (pp. 562-563). Copenhagen, Denmark. doi:10.1145/3298689.3347057

  • Boiko Ferreira, L. E., Murilo Gomes, H., Bifet, A., & Oliveira, L. S. (2019). Adaptive random forests with resampling for imbalanced data streams. In Proc International Joint Conference on Neural Networks Vol. 2019-July. doi:10.1109/IJCNN.2019.8852027

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