30 citations · 35 across the 5 of their papers we have counts for
5 papers
Large Multistream Data Analytics for Monitoring and Diagnostics in Manufacturing Systems
Samaneh Ebrahimi, Chitta Ranjan, Kamran Paynabar
The high-dimensionality and volume of large scale multistream data has inhibited significant research progress in developing an integrated monitoring and diagnostics (M&D) approach…
Dataset: Rare Event Classification in Multivariate Time Series
Chitta Ranjan, Mahendranath Reddy, Markku Mustonen +2
A real-world dataset is provided from a pulp-and-paper manufacturing industry. The dataset comes from a multivariate time series process. The data contains a rare event of paper br…
Inertial Regularization and Selection (IRS): Sequential Regression in High-Dimension and Sparsity
Chitta Ranjan, Samaneh Ebrahimi, Kamran Paynabar
In this paper, we develop a new sequential regression modeling approach for data streams. Data streams are commonly found around us, e.g in a retail enterprise sales data is contin…
Sequence Graph Transform (SGT): A Feature Embedding Function for Sequence Data Mining
Chitta Ranjan, Samaneh Ebrahimi, Kamran Paynabar
Sequence feature embedding is a challenging task due to the unstructuredness of sequence, i.e., arbitrary strings of arbitrary length. Existing methods are efficient in extracting…
The Impact of Estimation: A New Method for Clustering and Trajectory Estimation in Patient Flow Modeling
Chitta Ranjan, Kamran Paynabar, Jonathan E. Helm +1
The ability to accurately forecast and control inpatient census, and thereby workloads, is a critical and longstanding problem in hospital management. Majority of current literatur…