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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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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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Feb 11th 2021
Research Post
Neural-Network-Based Diagnosis Using 3-Dimensional Myocardial Architecture and Deformation: Demonstration for the Differentiation of Hypertrophic Cardiomyopathy
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Feb 11th 2021
Research Post
Domain aggregation networks for multi-source domain adaptation
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Feb 9th 2021
Research Post
Learning Language and Acoustic Models for Identifying Alzheimer’s Dementia From Speech
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Jan 22nd 2021
Research Post
Using Survival Prediction Techniques to Learn Customer-Specific Reservation Price Distributions
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Jan 19th 2021
News
Amii welcomes 15 additional Canada CIFAR AI Chairs
As part of the January 2021 AICan, Amii is pleased to welcome 15 new Canada CIFAR AI Chairs into our research community.
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Jan 5th 2021
Research Post
Predicting insect outbreaks using machine learning: A mountain pine beetle case study
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Jan 1st 2021
Research Post
The challenge of predicting blood glucose concentration changes in patients with type I diabetes
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Dec 21st 2020
Research Post
Health Care Providers’ Performance, Mindset, and Attitudes Toward a Neonatal Resuscitation Computer-Based Simulator: Empirical Study
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Dec 21st 2020
Research Post
Neonatal resuscitators’ performance, mindset, and attitudes towards a digital role-playing simulation game
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Dec 18th 2020
Research Post
Individualized identification of first-episode bipolar disorder using machine learning and cognitive tests
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Dec 15th 2020
Research Post
fMRI-Based Machine Learning Analysis of Neural Substrates of Pediatric Anxiety: Temporal Pole and Emotional Face-Responses
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Dec 11th 2020
Research Post
Variational Auto-Encoder Architectures that Excel
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Dec 6th 2020
Research Post
Shared Space Transfer Learning for analyzing multi-site fMRI data
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Dec 1st 2020
Research Post
Predicting the long-term outcomes of biologics in psoriasis patients using machine learning
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Nov 30th 2020
News
Amii accepted papers, workshops & tutorials at NeurIPS 2020
Amii is proud to share the efforts and achievements of our researchers at the 34th Conference on Neural Information Processing Systems (NeurIPS), running online this year Dec 6 - 12.
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Nov 30th 2020
Research Post
Changes in Stress, Anxiety, and Depression Levels of Subscribers to a Daily Supportive Text Message Program (Text4Hope) During the COVID-19 Pandemic: Cross-Sectional Survey Study
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Nov 6th 2020
Research Post
Extending schizophrenia diagnostic model to predict schizotypy in first-degree relatives
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Oct 20th 2020
Research Post
Dataset of COVID-19 outbreak and potential predictive features in the USA
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Oct 12th 2020
Research Post
Exploiting the full potential of Bayesian networks in predictive ecology
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Sep 10th 2020
News
Seeking applied projects for Probabilistic Graphical Models
Amii Fellow-in-residence Russ Greiner (Professor of Computing Science at the University of Alberta) is seeking potential projects this semester for students in his course on Probabilistic Graphical Models (PGMs) at the University of Alberta.
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Jul 13th 2020
News
Amii at ICML 2020: 17 Papers Accepted at Premier ML Conference
Amii is proud to feature the work of our researchers at the 37th International Conference on Machine Learning (ICML).
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