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 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: https://ai.waikato.ac.nz/

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: https://hdl.handle.net/10289/12963

• Lobo, J. L., Oregi, I., Bifet, A., & Del Ser, J. (2020). Exploiting the stimuli encoding scheme of evolving Spiking Neural Networks for stream learning. Neural Networks, 123, 118-133. doi:10.1016/j.neunet.2019.11.021

• 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

• 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