Chris Pappas

Publication Activity (10 Years)

Years Active: 2022-2023
Publications (10 Years): 4

Top Topics

Detecting Anomalies

Ensemble Learning

Power Electronics

Top Venues

Digit. Signal Process.

Publications

Steven Goldenberg, Malachi Schram, Kishansingh Rajput, Thomas Britton, Chris Pappas, Dan Lu, Jared Walden, Majdi I. Radaideh, Sarah Cousineau, Sudarshan Harave
Distance Preserving Machine Learning for Uncertainty Aware Accelerator Capacitance Predictions. CoRR (2023)
Yasir Alanazi, Malachi Schram, Kishansingh Rajput, Steven Goldenberg, Lasitha Vidyaratne, Chris Pappas, Majdi I. Radaideh, Dan Lu, Pradeep Ramuhalli, Sarah Cousineau
Multi-module based CVAE to predict HVCM faults in the SNS accelerator. CoRR (2023)
Majdi I. Radaideh, Chris Pappas, Mark Wezensky, Pradeep Ramuhalli, Sarah Cousineau
Fault Prognosis in Particle Accelerator Power Electronics Using Ensemble Learning. CoRR (2022)
Majdi I. Radaideh, Chris Pappas, Jared Walden, Dan Lu, Lasitha Vidyaratne, Thomas Britton, Kishansingh Rajput, Malachi Schram, Sarah Cousineau
Time series anomaly detection in power electronics signals with recurrent and ConvLSTM autoencoders. Digit. Signal Process. 130 (2022)