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Detecting retail products in situ using CNN without human effort labeling
CNN is a powerful tool for many computer vision tasks, achieving much better result than traditional methods.
Automatically Infer Human Traits and Behavior from Social Media Data
Given the complexity of human minds and their behavioral flexibility, it requires sophisticated data analysis to sift through a large amount of human behavioral evidence to model human minds and to predict human behavior.
Multi-View Unsupervised User Feature Embedding for Social Media-based Substance Use Prediction
In this paper, we demonstrate how the state-of-the-art machine learning and text mining techniques can be used to build effective social media-based substance use detection systems.
Social Media-based Substance Use Prediction
In this paper, we demonstrate how the state-of-the-art machine learning and text mining techniques can be used to build effective social media-based substance use detection systems.
\$1 Today or \$2 Tomorrow? The Answer is in Your Facebook Likes
In economics and psychology, delay discounting is often used to characterize how individuals choose between a smaller immediate reward and a larger delayed reward.
Personalized Emphasis Framing for Persuasive Message Generation
In this paper, we present a study on personalized emphasis framing which can be used to tailor the content of a message to enhance its appeal to different individuals.
