20 citations · 71 across the 16 of their papers we have counts for
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math.OC2022★ 7 cited
SAFE-OCC: A Novelty Detection Framework for Convolutional Neural Network Sensors and its Application in Process Control
Joshua L. Pulsipher, Luke D. J. Coutinho, Tyler A. Soderstrom +1
We present a novelty detection framework for Convolutional Neural Network (CNN) sensors that we call Sensor-Activated Feature Extraction One-Class Classification (SAFE-OCC). We sho…
math.OC2022★ 3 cited
Random Field Optimization
Joshua L. Pulsipher, Benjamin R. Davidson, Victor M. Zavala
We present a new modeling paradigm for optimization that we call random field optimization. Random fields are a powerful modeling abstraction that aims to capture the behavior of r…