Faculty profile
Graham Taylor
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Research
Latest papers
Machine Learning-Based Predictive Modeling of Anxiety and Depressive Symptoms During 8 Months of the COVID-19 Global Pandemic: Repeated Cross-sectional Survey Study.
JMIR mental health · 2021
Deep learning for supervised classification of spatial epidemics.
Spatial and spatio-temporal epidemiology · 2019 · senior author
Forecasting air quality time series using deep learning.
Journal of the Air & Waste Management Association (1995) · 2018
Latest funding
- $1,312,350
AI and Biodiversity Change (ABC)
NSERC · 2023 · Co-investigator
- $725,500
Interdisciplinary Math and Artificial Intelligence Program (INTER-MATH-AI)
NSERC · 2022 · Co-investigator
- $135,000
Broader Self-Supervised Learning with applications in anomaly detection, tabular data, and visual reinforcement learning
NSERC · 2022 · Co-investigator
4 publications.
Machine Learning-Based Predictive Modeling of Anxiety and Depressive Symptoms During 8 Months of the COVID-19 Global Pandemic: Repeated Cross-sectional Survey Study.
Hueniken K, Somé NH, Abdelhack M, Taylor G, Elton Marshall T, Wickens CM, Hamilton HA, Wells S, Felsky D
Deep learning for supervised classification of spatial epidemics.
Augusta C, Deardon R, Taylor G
Forecasting air quality time series using deep learning.
Freeman BS, Taylor G, Gharabaghi B, Thé J
Learning with hidden variables.
Roudi Y, Taylor G
AI and Biodiversity Change (ABC)
Principal investigators: Rolnick, David DS
Keywords: artificial intelligence; biodiversity change; climate change; ecology; machine learning
Interdisciplinary Math and Artificial Intelligence Program (INTER-MATH-AI)
Principal investigators: Fraser, Maia MJ
Keywords: applications of ai; artificial intelligence; hybrid machine learning; machine learning; mathematical modelling; neural networks; numerical methods; optimization; reinforcement learning; topological data analysis
Broader Self-Supervised Learning with applications in anomaly detection, tabular data, and visual reinforcement learning
Principal investigators: Armanfard, Narges N
Keywords: anomaly detection; deep learning; reinforcement learning; self supervised learning; tabular data analysis; visual reasoning
Machine Learning
Principal investigators: Taylor, Graham
Keywords: machine learning; artificial intelligence; deep learning; feature learning; representation learning; unsupervised learning; computer vision; biodiversity
BIOSCAN: Tracing the Patterns of Life on a Changing Planet
Principal investigators: Hebert, Paul
BIOSCAN: Tracing the Patterns of Life on a Changing Planet
Principal investigators: Hebert, Paul
Keywords: Global change biology Ecological & environmental policy Machine learning Metagenomics Systematics & taxonomy Biodiversity genomics Data Science Environmental management Environmental law Conservation Evolution Statistical ecology Environmental economics Ecosystem Sustainability
Yielding and Exploiting Confidence in Deep Learning
Principal investigators: Taylor, Graham
Yielding and Exploiting Confidence in Deep Learning
Principal investigators: Taylor, Graham
Keywords: confidence; deep learning; machine learning; representation learning; uncertainty representation
Yielding and Exploiting Confidence in Deep Learning
Principal investigators: Taylor, Graham
Generative Deep Learning toward Antibody Discovery for the Prevention of Food-Borne Illnesses
Principal investigators: Taylor, Graham
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Tara Elton-Marshall and Samantha Wells: 21 shared papers
- Daniel Felsky and Samantha Wells: 4 shared papers
- Tara Elton-Marshall and Daniel Felsky: 3 shared papers
- Tara Elton-Marshall and Graham Taylor: 1 shared paper
- Daniel Felsky and Graham Taylor: 1 shared paper
- Samantha Wells and Graham Taylor: 1 shared paper
- Graham Taylor and Bahram Gharabaghi: 1 shared paper
- School of Engineering - University of Guelph
- School of Engineering
- Department of Psychiatry
- Department of Epidemiology and Biostatistics
- Other
Co-authors at University of Guelph, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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