Olatunji Iyiola Emmanuel
Olatunji Iyiola Emmanuel
Home
Projects
Talks
Publications
Light
Dark
Automatic
paper-conference
Private graph extraction via feature explanations
Privacy and interpretability are two important ingredients for achieving trustworthy machine learning. We study the interplay of these …
Iyiola E. Olatunji
,
Mandeep Rathee
,
Thorben Funke
,
Megha Khosla
PDF
Cite
Code
Membership inference attack on graph neural networks
Graph Neural Networks (GNNs), which generalize traditional deep neural networks on graph data, have achieved state-of-the-art …
Iyiola E. Olatunji
,
Wolfgang Nejdl
,
Megha Khosla
PDF
Cite
Code
Context-Aware Helpfulness Prediction for Online Product Reviews
Modeling and prediction of review helpfulness has become more predominant due to proliferation of e-commerce websites and online shops. …
Iyiola E. Olatunji
,
Xin Li
,
Wai Lam
PDF
Cite
Mtmr-net: Multi-task deep learning with margin ranking loss for lung nodule analysis
Lung cancer is the leading cause of cancer deaths worldwide. Early diagnosis of lung nodules is of great importance for therapeutic …
Lihao Liu
,
Qi Dou
,
Hao Chen
,
Iyiola E. Olatunji
,
Jing Qin
,
Pheng-Ann Heng
PDF
Cite
Cite
×