5 citations · 8 across the 3 of their papers we have counts for
3 papers
eess.IV2024★ 5 cited
Convolutional neural network classification of cancer cytopathology images: taking breast cancer as an example
MingXuan Xiao, Yufeng Li, Xu Yan +2
Breast cancer is a relatively common cancer among gynecological cancers. Its diagnosis often relies on the pathology of cells in the lesion. The pathological diagnosis of breast ca…
cs.IR2024★ 1 cited
Poisoning Attacks against Recommender Systems: A Survey
Zongwei Wang, Min Gao, Junliang Yu +3
Modern recommender systems (RS) have seen substantial success, yet they remain vulnerable to malicious activities, notably poisoning attacks. These attacks involve injecting malici…
cs.LG2023★ 2 cited
Debiasing Recommendation by Learning Identifiable Latent Confounders
Qing Zhang, Xiaoying Zhang, Yang Liu +4
Recommendation systems aim to predict users' feedback on items not exposed to them. Confounding bias arises due to the presence of unmeasured variables (e.g., the socio-economic st…