10 citations · 30 across the 12 of their papers we have counts for
Showing 2024Show all
3 papers · 1 filter
cs.CE2024★ 10 cited
Using Graph Neural Networks and Frequency Domain Data for Automated Operational Modal Analysis of Populations of Structures
Xudong Jian, Yutong Xia, Gregory Duthé +3
The Population-Based Structural Health Monitoring (PBSHM) paradigm has recently emerged as a promising approach to enhance data-driven assessment of engineering structures by facil…
cs.CV2024
Towards Multimodal Open-Set Domain Generalization and Adaptation through Self-supervision
Hao Dong, Eleni Chatzi, Olga Fink
The task of open-set domain generalization (OSDG) involves recognizing novel classes within unseen domains, which becomes more challenging with multiple modalities as input. Existi…
cs.CV2024★ 1 cited
MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities
Hao Dong, Yue Zhao, Eleni Chatzi +1
Detecting out-of-distribution (OOD) samples is important for deploying machine learning models in safety-critical applications such as autonomous driving and robot-assisted surgery…