1 citations · 2 across the 2 of their papers we have counts for
3 papers
Anomaly Detection in High Dimensional Data
Priyanga Dilini Talagala, Rob J. Hyndman, Kate Smith-Miles
The HDoutliers algorithm is a powerful unsupervised algorithm for detecting anomalies in high-dimensional data, with a strong theoretical foundation. However, it suffers from some…
Strong Valid Inequalities Identification for Mixed Integer Programming Problems
Asghar Moeini, Kate Smith-Miles
The characterization of strong valid inequalities for integer and mixed-integer programs is more of an artistic task than a systematic methodology, requiring inspiration that can s…
A feature-based framework for detecting technical outliers in water-quality data from in situ sensors
Priyanga Dilini Talagala, Rob J. Hyndman, Catherine Leigh +2
Outliers due to technical errors in water-quality data from in situ sensors can reduce data quality and have a direct impact on inference drawn from subsequent data analysis. Howev…