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 Open Access version:

  • Bifet, A., Carvalho, A., Ferreira, C., & Gama, J. (2020). Editorial message: Special track on data streams. In Proceedings of the ACM Symposium on Applied Computing (pp. 481). doi:10.1145/3389651

  • Bahri, M., Bifet, A., Maniu, S., De Mello, R. F., & Tziortziotis, N. (2020). Compressed k-nearest neighbors ensembles for evolving data streams. In G. De Giacomo, A. Catala, B. Dilkina, M. Milano, S. Barro, A. Bugarin, & J. Lang (Eds.), Proc 24th European Conference on Artificial Intelligence (ECAI 2020), Frontiers in Artificial Intelligence and Applications Vol. 325 (pp. 961-968). Santiago de Compostela, Spain: IOS Press. doi:10.3233/FAIA200189

  • Haghir Chehreghani, M., Abdessalem, T., Bifet, A., & Bouzbila, M. (2020). Sampling informative patterns from large single networks. Future Generation Computer Systems, 106, 653-658. doi:10.1016/j.future.2020.01.042

Find more research publications by Albert Bifet