Emily Bell is a frequent CJR contributor and the director of Columbia’s Tow Center for Digital Journalism. Previously, she oversaw digital publishing at The Guardian. Heather Chaplin is the founding ...
A total of 407 students (304 females and 103 males) participated in an online survey, selected via stratified random sampling by academic year. The data were analyzed using a covariance-based ...
ABSTRACT: A degenerative neurological condition called Parkinson disease (PD) that evolves progressively, making detection difficult. A neurologist requires a clear healthcare history from the ...
This project is designed to identify unusual patterns and potential faults in time-series data (e.g., server metrics, sensor readings, financial data). It goes beyond simple anomaly scoring by: The ...
Principal component analysis (PCA) is one of the most common exploratory data analysis techniques with applications in outlier detection, dimensionality reduction, graphical clustering, and ...
Abstract: Outliers in multivariate sensor signals affect the performance of online change point detection algorithms. Data pre-processing to eliminate outliers is a standard solution, but it may be ...
Changepoint detection faces challenges when outlier data are present. This paper proposes a multivariate changepoint detection method which is based on the robust WPCA projection direction and the ...
Abstract: We develop a methodology that combines stable principal component pursuit (SPCP) and elastic net regression to perform multivariate outlier and trend detection simultaneously. The SPCP ...
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