206 citations · 315 across the 22 of their papers we have counts for
Showing 2020 · cs.LGShow all
3 papers · 2 filters
cs.LG2020★ 1 cited
Towards Fair Deep Anomaly Detection
Hongjing Zhang, Ian Davidson
Anomaly detection aims to find instances that are considered unusual and is a fundamental problem of data science. Recently, deep anomaly detection methods were shown to achieve su…
cs.LG2020★ 2 cited
Block Model Guided Unsupervised Feature Selection
Zilong Bai, Hoa Nguyen, Ian Davidson
Feature selection is a core area of data mining with a recent innovation of graph-driven unsupervised feature selection for linked data. In this setting we have a dataset $\mathbf{…
cs.LG2020
A Graph-Based Approach for Active Learning in Regression
Hongjing Zhang, S. S. Ravi, Ian Davidson
Active learning aims to reduce labeling efforts by selectively asking humans to annotate the most important data points from an unlabeled pool and is an example of human-machine in…