2 citations · 3 across the 3 of their papers we have counts for
4 papers
From Documents to Database: Failure Modes for Industrial Assets
Duygu Kabakci-Zorlu, Fabio Lorenzi, John Sheehan +2
We propose an interactive system using foundation models and user-provided technical documents to generate Failure Mode and Effects Analyses (FMEA) for industrial equipment. Our sy…
FMEA Builder: Expert Guided Text Generation for Equipment Maintenance
Karol Lynch, Fabio Lorenzi, John Sheehan +2
Foundation models show great promise for generative tasks in many domains. Here we discuss the use of foundation models to generate structured documents related to critical assets.…
Two-sample KS test with approxQuantile in Apache Spark
Bradley Eck, Duygu Kabakci-Zorlu, Amadou Ba
The classical two-sample test of Kolmogorov-Smirnov (KS) is widely used to test whether empirical samples come from the same distribution. Even though most statistical packages pro…
A monitoring framework for deployed machine learning models with supply chain examples
Bradley Eck, Duygu Kabakci-Zorlu, Yan Chen +2
Actively monitoring machine learning models during production operations helps ensure prediction quality and detection and remediation of unexpected or undesired conditions. Monito…