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Sensors (Basel, Switzerland)
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November 11, 2022
Improving the Reliability of Scale-Free Image Morphometrics in Applications with Minimally Restrained Livestock Using Projective Geometry and Unsupervised Machine Learning
Catherine McVey, Daniel Egger, Pablo Pinedo
Frontiers in Veterinary Science
|
November 2, 2020
Mind the Queue: A Case Study in Visualizing Heterogeneous Behavioral Patterns in Livestock Sensor Data Using Unsupervised Machine Learning Techniques
Catherine McVey, Fushing Hsieh, Diego Manriquez, et al.
Sensors (Basel, Switzerland)
|
January 11, 2022
Livestock Informatics Toolkit: A Case Study in Visually Characterizing Complex Behavioral Patterns across Multiple Sensor Platforms, Using Novel Unsupervised Machine Learning and Information Theoretic Approaches
Catherine McVey, Fushing Hsieh, Diego Manriquez, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 3) with videos related to
Sort By:
Page
of 1
Sensors (Basel, Switzerland)
|
November 11, 2022
Improving the Reliability of Scale-Free Image Morphometrics in Applications with Minimally Restrained Livestock Using Projective Geometry and Unsupervised Machine Learning
Catherine McVey, Daniel Egger, Pablo Pinedo
Frontiers in Veterinary Science
|
November 2, 2020
Mind the Queue: A Case Study in Visualizing Heterogeneous Behavioral Patterns in Livestock Sensor Data Using Unsupervised Machine Learning Techniques
Catherine McVey, Fushing Hsieh, Diego Manriquez, et al.
Sensors (Basel, Switzerland)
|
January 11, 2022
Livestock Informatics Toolkit: A Case Study in Visually Characterizing Complex Behavioral Patterns across Multiple Sensor Platforms, Using Novel Unsupervised Machine Learning and Information Theoretic Approaches
Catherine McVey, Fushing Hsieh, Diego Manriquez, et al.
Page
of 1