Pinned Repositories
LRGCL
Fake Review Detection with Label-consistent and Hierarchical-relation-aware Graph Contrastive Learning
Mobile01-Corpus
Introduction Datasets are indispensable for the study of opinion spam/spammer detection. However, to prepare such a kind of dataset is more difficult than that for the other types of spam detection tasks such as email spams and web spams due to the subtle nature of opinion spams. This website provides a dataset for a real case, Samsung probed in Taiwan over ‘fake web reviews’, reported by BBC on 16 April 2013. It can be used to study the behaviors of opinion spammers, their interactions in terms of first posts and replies, and the detection tasks.
-Recommendation_system
Recommendation_system
ML2017-lab-02
逻辑回归、线性分类和随机梯度下降
Recognition-algorithms
使用TensorFlow2.0集成的keras实现CNN人脸识别
test
test1
Yang-Sun-bit
Config files for my GitHub profile.
Yang-Sun-bit's Repositories
Yang-Sun-bit/ML2017-lab-02
逻辑回归、线性分类和随机梯度下降
Yang-Sun-bit/-Recommendation_system
Recommendation_system
Yang-Sun-bit/Recognition-algorithms
使用TensorFlow2.0集成的keras实现CNN人脸识别
Yang-Sun-bit/test
Yang-Sun-bit/test1
Yang-Sun-bit/Yang-Sun-bit
Config files for my GitHub profile.