Professor Albert Bifet
Te Ipu o te Mahara AI Institute Director
Qualifications: PhD UPC
Personal Website: http://albertbifet.com/
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/
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
Bahri, M., Bifet, A., Gama, J., Gomes, H. M., & Maniu, S. (2021). Data stream analysis: foundations, major tasks and tools. WIREs: Data Mining and Knowledge Discovery, 11(3). doi:10.1002/widm.1405
Bifet, A., Ferreira, C., Gama, J., & Gomes, H. M. (2021). EDITORIAL MESSAGE. In Proceedings of the ACM Symposium on Applied Computing (pp. 417).
Mordvanyuk, N., López, B., & Bifet, A. (2021). vertTIRP: Robust and efficient vertical frequent time interval-related pattern mining. Expert Systems with Applications, 168. doi:10.1016/j.eswa.2020.114276
Find more research publications by Albert Bifet
Data mining; Machine Learning