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stat.ML2024
Stream-Based Active Learning for Process Monitoring
Christian Capezza, Antonio Lepore, Kamran Paynabar
Statistical process monitoring (SPM) methods are essential tools in quality management to check the stability of industrial processes, i.e., to dynamically classify the process sta…
stat.ML2016
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…