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Propensity Score Adjustment in Measurement Invariance
(2016-12-02)
Measurement invariance testing is prerequisite if meaningful comparisons of latent construct across groups are important to the study in social science. If measurement invariance is rejected, the result of non-invariance ...
Identifying Outcomes of Care from Medical Records to Improve Doctor-Patient Communication
(2017-08-08)
Between appointments, healthcare providers have limited interaction with their
patients, but patients have similar patterns of care. Medications have common side
effects; injuries have an expected healing time; and so on. ...
Human-Tool-Interaction-Based Action Recognition Framework for Automatic Construction Operation Monitoring
(2017-08-02)
Monitoring activities on a construction jobsite is one of the most important tasks that a construction management team performs every day. Construction management teams monitor activities to ensure that a construction ...
The Development of a Data-Driven Model Calibration Method for Plasma Physics Applications
(2019-11-06)
The development and subsequent studies regarding statistical convergence for a data-driven calibration approach to physics-based models are presented with the ultimate goal of using the resulting method to analytically ...
Advances in Waveform and Photon Counting Lidar Processing for Forest Vegetation Applications
(2017-12-11)
Full waveform (FW) and photon counting LiDAR (PCL) data have garnered greater attention due to increasing data availability, a wealth of information they contain and promising prospects for large scale vegetation mapping. ...
Measuring the Scatter in the Cluster Optical Richness-Mass Relation with Machine Learning
(2016-08-02)
The distribution of massive clusters of galaxies depends strongly on the total cosmic mass density, the mass variance, and the dark energy equation of state. As such, measures of galaxy clusters can provide constraints on ...
Crowd and AI Powered Manipulation: Characterization and Detection
(2021-01-15)
User reviews are ubiquitous. They power online review aggregators that influence our daily-based decisions, from what products to purchase (e.g., Amazon), movies to view (e.g., Netflix,
HBO, Hulu), restaurants to patronize ...
An Ensemble Approach for Explanation-based Adversarial Detection
(2021-04-26)
Recent research has shown Deep Neural Networks (DNNs) to be vulnerable to adversarial examples that induce desired misclassifications in the models. Such risks impede the application of machine learning in security-sensitive ...
Detection of Cascadia Slow Slip in Borehole Pore Pressure Data
(2019-02-21)
ABSTRACT
The Cascadia subduction zone hosts quasi-periodic, large-scale slow slip events which have been shown to be precursors to large, tsunamigenic earthquakes at other active subduction zone margins. Detection of these ...
Discovery of Hidden Structures in Microseismic Data Using Tensor Decompositions and Multiway Component Analysis
(2019-04-01)
Microseismic data is used by companies to analyze and check numerous processes, including horizontal well performance, directional drilling and, most recently, hydraulic fracturing. The microseismic data analysis approach ...