| 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 | 19 | 2017 |
| 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 | 13 | 2017 |
| Affective Intelligence in Built Environments H Yates Kansas State University, 2018 | 4 | 2018 |
| 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 | 2 | 2019 |
| 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 | 2 | 2011 |
| 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 |
