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Found 3 papers, 3 papers with code
Ranking Social Media News Feeds: A Comparative Study of Personalized and Non-personalized Prediction Models
In this work, to predict the relevance of news feed updates and improve user experience, we use the random forest algorithm to train and introduce a personalized prediction model for each user.
Ranking news feed updates on social media: A comparative study of supervised models
For this matter, supervised learning models have been commonly used to predict relevance.
Deep interpretable architecture for plant diseases classification
In this paper, we propose a new trainable visualization method for plant diseases classification based on a Convolutional Neural Network (CNN) architecture composed of two deep classifiers.
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