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> Grant R. W. Humphries
"Grant R. W. Humphries" appeared in Books and Chapters
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Breaking Away from ‘Traditional’ Uses of Machine Learning: A Case Study Linking Sooty Shearwaters (Ardenna griseus) and Upcoming Changes in the Southern Oscillation Index
Grant R. W. Humphries
Machine Learning for Ecology and Sustainable Natural Resource Management
Grant Humphries
;
Dawn R. Magness
;
Falk Huettmann
1st ed. 2018
Springer International Publishing
How the Internet Can Know What You Want Before You Do: Web-Based Machine Learning Applications for Wildlife Management
Grant R. W. Humphries
Machine Learning for Ecology and Sustainable Natural Resource Management
Grant Humphries
;
Dawn R. Magness
;
Falk Huettmann
1st ed. 2018
Springer International Publishing
Global Issues for, and Profiles of, Arctic Seabird Protection: Effects of Big Oil, New Shipping Lanes, Shifting Baselines, and Climate Change
Grant R. W. Humphries
;
Falk Huettmann
Protection of the Three Poles
Falk Huettmann
2012
Springer Japan
Machine Learning in Wildlife Biology: Algorithms, Data Issues and Availability, Workflows, Citizen Science, Code Sharing, Metadata and a Brief Historical Perspective
Grant R. W. Humphries
;
Falk Huettmann
Machine Learning for Ecology and Sustainable Natural Resource Management
Grant Humphries
;
Dawn R. Magness
;
Falk Huettmann
1st ed. 2018
Springer International Publishing
Machine Learning and ‘The Cloud’ for Natural Resource Applications: Autonomous Online Robots Driving Sustainable Conservation Management Worldwide?
Grant R. W. Humphries
;
Falk Huettmann
Machine Learning for Ecology and Sustainable Natural Resource Management
Grant Humphries
;
Dawn R. Magness
;
Falk Huettmann
1st ed. 2018
Springer International Publishing
A Perspective on the Future of Machine Learning: Moving Away from ‘Business as Usual’ and Towards a Holistic Approach of Global Conservation
Grant R. W. Humphries
;
Falk Huettmann
Machine Learning for Ecology and Sustainable Natural Resource Management
Grant Humphries
;
Dawn R. Magness
;
Falk Huettmann
1st ed. 2018
Springer International Publishing
Machine Learning Techniques for Quantifying Geographic Variation in Leach’s Storm-Petrel (Hydrobates leucorhous) Vocalizations
Grant R. W. Humphries
;
Rachel T. Buxton
;
Ian L. Jones
Machine Learning for Ecology and Sustainable Natural Resource Management
Grant Humphries
;
Dawn R. Magness
;
Falk Huettmann
1st ed. 2018
Springer International Publishing
Use of Machine Learning (ML) for Predicting and Analyzing Ecological and ‘Presence Only’ Data: An Overview of Applications and a Good Outlook
Falk Huettmann
;
Erica H. Craig
;
Keiko A. Herrick
;
Andrew P. Baltensperger
;
Grant R. W. Humphries
;
David J. Lieske et al.
Machine Learning for Ecology and Sustainable Natural Resource Management
Grant Humphries
;
Dawn R. Magness
;
Falk Huettmann
1st ed. 2018
Springer International Publishing
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