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Mark Hobbs
Publication Activity (10 Years)
Years Active: 2020-2023
Publications (10 Years): 5
Top Topics
Cascade Correlation
Machine Learning
Neural Network
Line Features
Top Venues
Canadian Conference on AI
ICAART (2)
CoRR
AI
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Publications
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Greg Lee
,
Ajith Kumar Veera Raghavan
,
Mark Hobbs
Adding Time and Subject Line Features to the Donor Journey.
ICAART (2)
(2023)
Greg Lee
,
Jordan Pippy
,
Mark Hobbs
Optimizing the Feature Set for Machine Learning Charitable Predictions.
AI
(2022)
Mark Hobbs
,
Hussein Rappel
,
Tim J. Dodwell
A probabilistic peridynamic framework with an application to the study of the statistical size effect.
CoRR
(2022)
Greg Lee
,
Ajith Kumar Veera Raghavan
,
Mark Hobbs
Machine Learning the Donor Journey.
Canadian Conference on AI
(2020)
Greg Lee
,
Ajith Kumar Veera Raghavan
,
Mark Hobbs
Improving the Donor Journey with Convolutional and Recurrent Neural Networks.
ICMLA
(2020)