Browsing by Subject "Machine learning models"
Now showing items 1-3 of 3
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A machine learning model for emotion recognition from physiological signals
(Elsevier Ltd, 2020)Emotions are affective states related to physiological responses. This study proposes a model for recognition of three emotions: amusement, sadness, and neutral from physiological signals with the purpose of developing a ... -
A machine learning model for occupancy rates and demand forecasting in the hospitality industry
(Springer Verlag, 2016)Occupancy rate forecasting is a very important step in the decision-making process of hotel planners and managers. Popular strategies as Revenue Management feature forecasting as a vital activity for dynamic pricing, and ... -
Kernel-based machine learning models for the prediction of dengue and chikungunya morbidity in Colombia
(Springer Verlag, 2017)Dengue and Chikungunya fever are two viral diseases of great public health concern in Colombia and other tropical countries as they are both transmitted by Aedes mosquitoes, which are endemic to this area. In recent years, ...
