2 citations · 4 across the 5 of their papers we have counts for
6 papers
NEAL: An open-source tool for audio annotation
Anthony Gibbons, Ian Donohue, Courtney E. Gorman +2
Passive acoustic monitoring is used widely in ecology, biodiversity, and conservation studies. Data sets collected via acoustic monitoring are often extremely large and built to be…
Review of Clustering Methods for Functional Data
Mimi Zhang, Andrew Parnell
Functional data clustering is to identify heterogeneous morphological patterns in the continuous functions underlying the discrete measurements/observations. Application of functio…
Visualizations for Bayesian Additive Regression Trees
Alan Inglis, Andrew Parnell, Catherine Hurley
Tree-based regression and classification has become a standard tool in modern data science. Bayesian Additive Regression Trees (BART) has in particular gained wide popularity due i…
Visualizing Variable Importance and Variable Interaction Effects in Machine Learning Models
Alan Inglis, Andrew Parnell, Catherine Hurley
Variable importance, interaction measures, and partial dependence plots are important summaries in the interpretation of statistical and machine learning models. In this paper we d…
Real-Time Anomaly Detection for Advanced Manufacturing: Improving on Twitter's State of the Art
Caitríona M. Ryan, Andrew Parnell, Catherine Mahoney
The detection of anomalies in real time is paramount to maintain performance and efficiency across a wide range of applications including web services and smart manufacturing. This…
An Evaluation of Methods for Real-Time Anomaly Detection using Force Measurements from the Turning Process
Yuanzhi Huang, Eamonn Ahearne, Szymon Baron +1
We examined the use of three conventional anomaly detection methods and assess their potential for on-line tool wear monitoring. Through efficient data processing and transformatio…