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Heath Yates
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Arousal Detection for Biometric Data in Built Environments using Machine Learning
H Yates, B Chamberlain, G Norman, WH Hsu
IJCAI 2017 Workshop on Artificial Intelligence in Affective Computing, 58-72, 2017
192017
A spatially explicit classification model for affective computing in built environments
H Yates, B Chamberlain, WH Hsu
2017 Seventh International Conference on Affective Computing and Intelligent …, 2017
132017
Affective Intelligence in Built Environments
H Yates
Kansas State University, 2018
42018
Assessing Animal Emotion and Behavior Using Mobile Sensors and Affective Computing
H Yates, B Chamberlain, W Baldwin, WH Hsu, D Vanlandingham
Emerging Trends and Applications in Cognitive Computing, 49-77, 2019
22019
A comparison of type I error and power of the aligned rank method using means and medians for alignment
HL Yates
Kansas State University, 2011
22011
Binary Classification of Arousal in Built Environments using Machine Learning
H Yates, B Chamberlain, W Hsu
Workshop on Artificial Intelligence in Affective Computing, 35-51, 2020
2020
Affective Computing
H Yates
C2C Digital Magazine 1 (7), 12, 2017
2017
Study and comparison of next generation sequence algorithms and tools
HL Yates
Kansas State University, 2014
2014
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Articles 1–8