[1]A Multimodal Graph-based Music Auto-tagging Framework: Integrating Social and Content Intelligence

[2]Collaborative Learning with Deep Attention Networks for Review-based Game Recommendations

[3]Generative AI-Augmented Multimodal Graph Model with Parallel Contrastive Learning for Game Recommendation

[4]Generative Adversarial Networks for Tag Recommendation based on Multimodal and Group Article Features

[5]News recommendations based on collaborative topic modeling and collaborative filtering with generative adversarial networks

[6]Hybrid Generative Adversarial Networks for News Recommendation

[7]Crowdfunding Prediction with Aspect-Based CNN and Generative Adversarial Networks

[8]Talent recommendation based on attentive deep neural network and implicit relationships of resumes

[9]Personalized Hashtag Recommendation Based on Hierarchical Users and Group Posts Co-Attention with Generative Adversarial Networks

[10]A boosting resampling method for regression based on a conditional variational autoencoder

[11]Air pollution forecasting based on attention-based LSTM neural network and ensemble learning

[12]Motor Fault Detection and Feature Extraction Using RNN-Based Variational Autoencoder

[13]應用機器學習與遞迴神經網路預測產業發展之未來—以甘藍菜價之預測為例

[14]遞迴神經網路於單戶家庭電力耗能負載預測