5 papers
Adaptive Sampling for Automated Post-Disaster Rapid Damage Assessment via Level-Set Cost-Aware Bayesian Optimization
Boyang Xu, Mostafa Reisi Gahrooei, Mohammad Ilbeigi +1
Natural disasters frequently inflict severe damage to the built environment, which demands a rapid, reliable, and cost-effective damage assessment for emergency response. However,…
Bayesian Entropy Neural Networks for Physics-Aware Prediction
Rahul Rathnakumar, Jiayu Huang, Hao Yan +1
This paper addresses the need for deep learning models to integrate well-defined constraints into their outputs, driven by their application in surrogate models, learning with limi…
Hierarchical Multi-label Classification for Fine-level Event Extraction from Aviation Accident Reports
Xinyu Zhao, Hao Yan, Yongming Liu
A large volume of accident reports is recorded in the aviation domain, which greatly values improving aviation safety. To better use those reports, we need to understand the most i…
Posterior Regularized Bayesian Neural Network Incorporating Soft and Hard Knowledge Constraints
Jiayu Huang, Yutian Pang, Yongming Liu +1
Neural Networks (NNs) have been widely {used in supervised learning} due to their ability to model complex nonlinear patterns, often presented in high-dimensional data such as imag…
Adaptive Partially-Observed Sequential Change Detection and Isolation
Xinyu Zhao, Jiuyun Hu, Yajun Mei +1
High-dimensional data has become popular due to the easy accessibility of sensors in modern industrial applications. However, one specific challenge is that it is often not easy to…