Michael E. Houle

On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study

Guilherme O. Campos, Arthur Zimek, Jörg Sander et al. · Data Mining and Knowledge Discovery · 2016 · 714 citations · Full text

Anomaly Detection, Empirical Study, Data Science +10

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

Interactive Supercomputing on 40,000 Cores for Machine Learning and Data Analysis

Albert Reuther, Jeremy Kepner, Chansup Byun et al. · 2018 · 261 citations · Full text

Artificial Intelligence, Cluster Computing, Engineering +19

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