DCFGAN: An adversarial deep reinforcement learning framework with improved negative sampling for session-based recommender systems

SLC-GAN: An automated myocardial infarction detection model based on generative adversarial networks and convolutional neural networks with single-lead electrocardiogram synthesis

(2022) Wenqiang Li et al.   INFORMATION SCIENCES

SocialLGN: Light graph convolution network for social recommendation

(2022) Jie Liao et al.   INFORMATION SCIENCES

Collaborative Filtering with a Deep Adversarial and Attention Network for Cross-domain Recommendation

(2021) Huiting Liu et al.   INFORMATION SCIENCES

Session-aware recommendation: A surprising quest for the state-of-the-art

(2021) Sara Latifi et al.   INFORMATION SCIENCES

ReCom: A deep reinforcement learning approach for semi-supervised tabular data labeling

(2021) Guy Zaks et al.   INFORMATION SCIENCES

A deep reinforcement learning based searching method for source localization

(2021) Yong Zhao et al.   INFORMATION SCIENCES

A Survey on Session-based Recommender Systems

(2021) Shoujin Wang et al.   ACM COMPUTING SURVEYS

State representation modeling for deep reinforcement learning based recommendation

(2020) Feng Liu et al.   KNOWLEDGE-BASED SYSTEMS

Recommender systems based on generative adversarial networks: A problem-driven perspective

(2020) Min Gao et al.   INFORMATION SCIENCES

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE