Keith Schaub

According to our database, Keith Schaub authored at least 3 papers between 2019 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Automated Socket Anomaly Detection through Deep Learning.

Nidhi Agrawal, Min-Jian Yang, Constantinos Xanthopoulos, Vijayakumar Thangamariappan, Joe Xiao, Chee-Wah Ho, Keith Schaub, Ira Leventhal

Proceedings of the IEEE International Test Conference, 2020

2019

Machine Learning-based Noise Classification and Decomposition in RF Transceivers.

Deepika Neethirajan, Constantinos Xanthopoulos, Kiruba S. Subramani, Keith Schaub, Ira Leventhal, Yiorgos Makris

Proceedings of the 37th IEEE VLSI Test Symposium, 2019

Subtle Anomaly Detection of Microscopic Probes using Deep learning based Image Completion.

Kosuke Ikeda, Keith Schaub, Ira Leventhal, Yiorgos Makris, Constantinos Xanthopoulos, Deepika Neethirajan

Proceedings of the IEEE International Test Conference, 2019