Sarah Erfani

High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning

Sarah Erfani, Sutharshan Rajasegarar, Shanika Karunasekera et al. · Pattern Recognition · 2016 · 1.2K citations

Support Vector Machine, Anomaly Detection, Machine Learning +11

Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality

Xingjun Ma, Bo Li, Yisen Wang et al. · Own your potential (DEAKIN) · 2018 · 401 citations

Local Intrinsic Dimensionality, Deep Neural Networks, Engineering +12

Dimensionality-Driven Learning with Noisy Labels

Xingjun Ma, Yisen Wang, Michael E. Houle et al. · Own your potential (DEAKIN) · 2018 · 159 citations

Dimensionality Perspective, Geometric Learning, Engineering +15

Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality

Xingjun Ma, Bo Li, Yisen Wang et al. · arXiv (Cornell University) · 2018 · 153 citations · Full text

Local Intrinsic Dimensionality, Deep Neural Networks, Engineering +12

Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression

Jiabo He, Sarah Erfani, Xingjun Ma et al. · arXiv (Cornell University) · 2021 · 144 citations · Full text