Work

Rare Event Detection by Acquisition-Guided Sampling

Year: 2024

Type: article

Source: IEEE Transactions on Automation Science and Engineering

DOI: 10.1109/tase.2024.3475951

Authors: Huiling Liao, Xiaoning Qian, Jianhua Z. Huang, Peng Li

Institutions: Illinois Institute of Technology, Texas A&M University, Chinese University of Hong Kong, Shenzhen, University of California, Santa Barbara

Language: English

Topic: Advanced Bandit Algorithms Research

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: closed

Funder: National Science Foundation

Awards: Collaborative Research: SHF: Medium: Data-Efficient Uncovering of Rare Design Failures for Reliability-Critical Circuits, DMREF: AI-Guided Accelerated Discovery of Multi-Principal Element Multi-Functional Alloys, CAREER: Knowledge-driven Analytics, Model Uncertainty, and Experiment Design, Collaborative Research: SHF: Medium: Data-Efficient Uncovering of Rare Design Failures for Reliability-Critical Circuits

OpenAlex ID: W4403446479

FWCI: 0.308

Cites: 79

Cited by: 1

Related to: 10