3 citations · 3 across the 3 of their papers we have counts for
4 papers
What Quality Engineers Need to Know about Degradation Models
Jared M. Clark, Jie Min, Mingyang Li +5
Degradation models play a critical role in quality engineering by enabling the assessment and prediction of system reliability based on data. The objective of this paper is to prov…
Bridging the Data Gap in AI Reliability Research and Establishing DR-AIR, a Comprehensive Data Repository for AI Reliability
Simin Zheng, Jared M. Clark, Fatemeh Salboukh +10
Artificial intelligence (AI) technology and systems have been advancing rapidly. However, ensuring the reliability of these systems is crucial for fostering public confidence in th…
Applied Statistics in the Era of Artificial Intelligence: A Review and Vision
Jie Min, Xinyi Song, Simin Zheng +3
The advent of artificial intelligence (AI) technologies has significantly changed many domains, including applied statistics. This review and vision paper explores the evolving rol…
Semi-parametric Models for Accelerated Destructive Degradation Test Data Analysis
Yimeng Xie, Caleb B. King, Yili Hong +1
Accelerated destructive degradation tests (ADDT) are widely used in industry to evaluate materials' long term properties. Even though there has been tremendous statistical research…