1 citations · 1 across the 6 of their papers we have counts for
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Multivariate Time Series Data Imputation via Distributionally Robust Regularization
Che-Yi Liao, Zheng Dong, Gian-Gabriel Garcia +1
Multivariate time series imputation is often compromised by mismatch between the observed and true data distributions, a bias induced by the combined effects of time-series non-sta…
An Adaptive Sampling Framework for Detecting Localized Concept Drift under Label Scarcity
Junghee Pyeon, Davide Cacciarelli, Kamran Paynabar
Concept drift and label scarcity are two critical challenges limiting the robustness of predictive models in dynamic industrial environments. Existing drift detection methods often…
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…