Abstract: Collaborative filtering (CF) is a widely used technique in recommender systems by automatically predicting the user’s latent interests based on many users’ historical rating data. To improve ...

Abstract: As a commonly used model for anomaly detection, the autoencoder model for anomaly detection does not train the objective for extracted features, which is a downside of autoencoder model. In ...

This project explores how generative models can help address class imbalance in bone tumor X-ray classification. We use the BTXRD dataset, which contains X-ray images of different primary bone tumor ...