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May 11th 2023
News
Russ Greiner receives CS-Can | Info Can lifetime achievement award
Russ Greiner — Amii Fellow, Canada CIFAR AI Chair and one of the founding members of Amii — is being recognized for his outstanding contribution to furthering computing science with a Lifetime Achievement Award in Computing Science from CS-Can | Info-Can.
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Feb 9th 2023
Research Post
Modeling and Forecasting COVID-19 Cases using Latent Subpopulations
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Feb 6th 2023
Research Post
Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiograms
Read this research paper, co-authored by Fellow & Canada CIFAR AI Chair at Russ Greiner: Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiograms
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Jul 7th 2022
Research Post
Prediction of Obsessive-Compulsive Disorder: Importance of neurobiology-aided feature design and cross-diagnosis transfer learning
Read this research paper, co-authored by Fellow & Canada CIFAR AI Chair Russ Greiner: Prediction of Obsessive-Compulsive Disorder: Importance of neurobiology-aided feature design and cross-diagnosis transfer learning
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May 12th 2022
News
AI in Healthcare: Building trust for medical machine learned-models
How much should medical AI tools explain their results? Amii Fellow Russ Greiner talks explainable AI and trust in the second part of our series on challenges in healthcare AI.
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Mar 21st 2022
Research Post
Reducing readmission rates for individuals discharged from acute psychiatric care in Alberta using peer and text message support: Protocol for an innovative supportive program
Read this research paper, co-authored by Fellow & Canada CIFAR AI Chair Russ Greiner: Reducing readmission rates for individuals discharged from acute psychiatric care in Alberta using peer and text message support: Protocol for an innovative supportive program
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Mar 11th 2022
News
Overcoming challenges in healthcare AI: successfully deploying machine-learned models in medicine
AI has the potential to transform healthcare -- discover the hurdles and potential solutions to deploying medical AI models.
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Feb 21st 2022
Research Post
Utility of machine learning for serum metabolomic data analysis in pediatric Crohn disease
Read this research paper, co-authored by Fellow & Canada CIFAR AI Chair Russ Greiner: Utility of machine learning for serum metabolomic data analysis in pediatric Crohn disease
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Feb 8th 2022
Research Post
CAPTURE ALS: the comprehensive analysis platform to understand, remedy and eliminate ALS
Read this research paper, co-authored by Fellow & Canada CIFAR AI Chair Russ Greiner: CAPTURE ALS: the comprehensive analysis platform to understand, remedy and eliminate ALS
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Jan 14th 2022
Research Post
Domain-shift adaptation via linear transformations
Read this research paper, co-authored by Fellow & Canada CIFAR AI Chair Russ Greiner: Domain-shift adaptation via linear transformations
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Dec 16th 2021
Research Post
An Introduction to Machine Learning Approaches for Biomedical Research
Read this research paper, co-authored by Fellow & Canada CIFAR AI Chair Russ Greiner: An Introduction to Machine Learning Approaches for Biomedical Research
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Dec 9th 2021
Research Post
SIMLR: Machine Learning inside the SIR model for COVID-19 Forecasting
Read this research paper, co-authored by Fellow & Canada CIFAR AI Chair Russ Greiner: SIMLR: Machine Learning inside the SIR model for COVID-19 Forecasting
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Nov 30th 2021
News
Bandit tasks, deep reinforcement learning and controlling disinformation: Amii researchers at NeurIPS 2021
Amii is proud to share the work of our researchers that will be presented at the thirty-fifth annual Neural Information Processing Systems (NeurIPS) conference, held online from December 6 - 14, 2021.
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Nov 19th 2021
Research Post
A novel machine learning-based video classification approach to detect pneumonia in COVID-19 patients using lung ultrasound
Read this research paper, co-authored by Fellow & Canada CIFAR AI Chair Russ Greiner: A novel machine learning-based video classification approach to detect pneumonia in COVID-19 patients using lung ultrasound
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Nov 18th 2021
News
Recommended Reading: Researchers aim to forecast COVID-19 cases further into the future
Amii’s Russ Grenier and a team at the University of Alberta are using AI tools to better predict coronavirus cases, as reported by Folio.
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Nov 15th 2021
Research Post
A deep generative model enables automated structure elucidation of novel psychoactive substances
Read this research paper, co-authored by Fellow & Canada CIFAR AI Chair Russ Greiner: A deep generative model enables automated structure elucidation of novel psychoactive substances
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Nov 15th 2021
Research Post
Variational Auto-Encoder Architectures that Excel at Causal Inference
Read this research paper, co-authored by Fellow & Canada CIFAR AI Chair Russ Greiner: Variational Auto-Encoder Architectures that Excel at Causal Inference
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Sep 11th 2021
Research Post
Myxobolus cerebralis establishment and spread: a graphical synthesis
Read this research paper, co-authored by Fellow & Canada CIFAR AI Chair Russ Greiner: Myxobolus cerebralis establishment and spread: a graphical synthesis.
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Sep 7th 2021
Research Post
Problems associated with the deployment of machine learning-based models in health
Read this research paper, co-authored by Fellow & Canada CIFAR AI Chair Russ Greiner: Problems associated with the deployment of machine learning-based models in health
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Aug 30th 2021
Research Post
Implementing machine learning in healthcare
Read this research paper, co-authored by Fellow & Canada CIFAR AI Chair Russ Greiner: Implementing machine learning in healthcare
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May 31st 2021
News
Russ Greiner receives CAIAC Lifetime Achievement Award
Russ Greiner has received a Lifetime Achievement Award from the Canadian Artificial Intelligence Association (CAIAC) -- the highest honour bestowed by the organization.
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May 1st 2021
Research Post
Identification of spectral features in the longwave infrared (LWIR) spectra of leaves for the discrimination of tropical dry forest tree species
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Mar 16th 2021
Research Post
Learning accurate personalized survival models for predicting hospital discharge and mortality of COVID-19 patients
Read this research paper, co-authored by Fellow & Canada CIFAR AI Chair Russ Greiner: Learning accurate personalized survival models for predicting hospital discharge and mortality of COVID-19 patients
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Feb 23rd 2021
News
In the News: Schizophrenia Prediction
Fellow and Canada CIFAR AI Chair at Amii Russ Greiner (Professor of Computing Science at the University of Alberta) made media headlines after recently co-publishing research that highlights the development of an artificial intelligence tool to predict schizophrenia by analyzing brain scans.
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