Russell Greiner | |
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| Alma mater |
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| Scientific career | |
| Fields | Machine Learning, Medical Informatics, Bioinformatics |
| Institutions | University of Alberta |
| Doctoral advisor | Michael Genesereth |
Russell Greiner is a professor of computing science at the University of Alberta. He is a fellow of the Association for the Advancement of Artificial Intelligence and a specialist in machine learning and bioinformatics. Greiner is one of the principal investigators at the Alberta Innovates Centre for Machine Learning[1] and has published over 200 refereed papers and patents.
After earning a PhD from Stanford University, Greiner worked in both academic and industrial research before settling at the University of Alberta, where he became a professor in Computing Science (adjunct in Psychiatry) and the founding scientific director of the Alberta Machine Intelligence Institute.
He was elected a Fellow of the AAAI (Association for the Advancement of Artificial Intelligence), was awarded a McCalla Professorship,[2] and received a Killam Annual Professorship.[3]
He received the Killam Award for Excellence in Mentoring.[4]
He has published numerous papers, most in the areas of machine learning and medical informatics. His work centers on medical informatics, survival prediction,[5][6][7] and the formal foundations of learnability.
YouTube Encyclopedic
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1/3Views:893645675
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Russ Greiner: An Introduction to Bayesian Belief Nets
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Alberta Health Services (AHS) Artificial Intelligence CoP - Russ Greiner / University of Alberta
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Sony Aibo Robotic Dog and Russ Greiner Medical Applications of Machine Learning Fall 2013
Transcription
References
- ^ "Russ Greiner". aicml.ca. Retrieved December 12, 2015.
- ^ "Past McCalla Professorship". ualberta.ca. Retrieved November 25, 2023.
- ^ "Killam Annual Professorship". ualberta.ca. Retrieved November 25, 2023.
- ^ "Killam Laureates". ualberta.ca. Retrieved November 25, 2023.
- ^ Yu, Chun-Nam; Greiner, Russell; Lin, Hsiu-Chin; Baracos, Vickie (2011). "Learing patient-specific cancer survival distributions as a sequence of dependent regressors". Advances in Neural Information Processing Systems. 24. Retrieved 2024-03-26.
- ^ Haider, Humza; Hoehn, Bret; Davis, Sarah; Greiner, Russell (2020). "Effective Ways to Build and Evaluate Individual Survival Distributions". Journal of Machine Learning Research. 21 (85): 1–63. ISSN 1533-7928. Retrieved 2024-03-26.
- ^ Gharari, Ali Hossein Foomani; Cooper, Michael; Greiner, Russell; Krishnan, Rahul G (2023-07-02). "Copula-based deep survival models for dependent censoring". PMLR. p. 669–680. ISSN 2640-3498. Retrieved 2024-03-27.
External links
- Russ Greiner at the University of Alberta
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This page was last edited on 9 April 2024, at 10:24