Russell Greiner
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 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 [http://www.aaai.org/Awards/fellows-list.php Fellow of the AAAI] (Association for the Advancement of Artificial Intelligence), was awarded a McCalla Professorship, and received a Killam Annual Professorship.
He received the Killam Award for Excellence in Mentoring.
He has published numerous papers, most in the areas of machine learning and medical informatics. His work centers on medical informatics, survival prediction, and the formal foundations of learnability. Provided by Wikipedia
Showing 1 - 20 results of 36 for search 'Russell Greiner', query time: 0.06s
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Editorial: Multi-site neuroimage analysis: Domain adaptation and batch effects by Muhammad Yousefnezhad, Muhammad Yousefnezhad, Muhammad Yousefnezhad, Muhammad Yousefnezhad, Daoqiang Zhang, Andrew J. Greenshaw, Russell Greiner, Russell Greiner, Russell Greiner, Russell Greiner
Published 2022-08-01
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Gene expression based survival prediction for cancer patients-A topic modeling approach. by Luke Kumar, Russell Greiner
Published 2019-01-01
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An Introduction to Machine Learning Approaches for Biomedical Research by Juan Jovel, Russell Greiner
Published 2021-12-01
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SIMLR: Machine Learning inside the SIR Model for COVID-19 Forecasting by Roberto Vega, Leonardo Flores, Russell Greiner
Published 2022-01-01
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Heterogeneous Stacking for Classification-Driven Watershed Segmentation by Russell Greiner, Hong Zhang, Ilya Levner
Published 2008-03-01
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Consistency and Generalization Bounds for Maximum Entropy Density Estimation by Shaojun Wang, Russell Greiner, Shaomin Wang
Published 2013-12-01
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Analyzing biomarker discovery: Estimating the reproducibility of biomarker sets. by Amir Forouzandeh, Alex Rutar, Sunil V Kalmady, Russell Greiner
Published 2022-01-01
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Using survival prediction techniques to learn consumer-specific reservation price distributions. by Ping Jin, Humza Haider, Russell Greiner, Sarah Wei, Gerald Häubl
Published 2021-01-01
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Predicting insect outbreaks using machine learning: A mountain pine beetle case study by Pouria Ramazi, Mélodie Kunegel‐Lion, Russell Greiner, Mark A. Lewis
Published 2021-10-01
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Individual Survival Distributions Generated by Multi-Task Logistic Regression Yield a New Perspective on Molecular and Clinical Prognostic Factors in Gastric Adenocarcinoma by Daniel Skubleny, Jennifer Spratlin, Sunita Ghosh, Russell Greiner, Daniel E. Schiller, Gina R. Rayat
Published 2024-02-01
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Superior temporal gyrus functional connectivity predicts transcranial direct current stimulation response in Schizophrenia: A machine learning study by Animesh Kumar Paul, Animesh Kumar Paul, Anushree Bose, Anushree Bose, Sunil Vasu Kalmady, Sunil Vasu Kalmady, Venkataram Shivakumar, Venkataram Shivakumar, Vanteemar S. Sreeraj, Vanteemar S. Sreeraj, Rujuta Parlikar, Rujuta Parlikar, Janardhanan C. Narayanaswamy, Janardhanan C. Narayanaswamy, Serdar M. Dursun, Andrew J. Greenshaw, Russell Greiner, Russell Greiner, Russell Greiner, Ganesan Venkatasubramanian, Ganesan Venkatasubramanian
Published 2022-08-01
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Effective hospital readmission prediction models using machine-learned features by Sacha Davis, Jin Zhang, Ilbin Lee, Mostafa Rezaei, Russell Greiner, Finlay A. McAlister, Raj Padwal
Published 2022-11-01
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