Browsing by Subject "Ensemble learning"
Now showing items 1-4 of 4
-
Ensemble deep learning for multilabel binary classification of user-generated content
(2020)Sentiment analysis usually refers to the analysis of human-generated content via a polarity filter. Affective computing deals with the exact emotions conveyed through information. Emotional information most frequently ... -
Exploring an ensemble of methods that combines fuzzy cognitive maps and neural networks in solving the time series prediction problem of gas consumption in Greece
(2019)This paper introduced a new ensemble learning approach, based on evolutionary fuzzy cognitive maps (FCMs), artificial neural networks (ANNs), and their hybrid structure (FCM-ANN), for time series prediction. The main aim ... -
An intelligent edge-centric queries allocation scheme based on ensemble models
(2020)The combination of Internet of Things (IoT) and Edge Computing (EC) can assist in the delivery of novel applications that will facilitate end-users' activities. Data collected by numerous devices present in the IoT ... -
Prediction of Injuries in CrossFit Training: A Machine Learning Perspective
(2022)CrossFit has gained recognition and interest among physically active populations being one of the most popular and rapidly growing exercise regimens worldwide. Due to the intense and repetitive nature of CrossFit, concerns ...