66 citations · 132 across the 15 of their papers we have counts for
3 papers · 1 filter
Multi-Class Multiple Instance Learning for Predicting Precursors to Aviation Safety Events
Marc-Henri Bleu-Laine, Tejas G. Puranik, Dimitri N. Mavris +1
In recent years, there has been a rapid growth in the application of machine learning techniques that leverage aviation data collected from commercial airline operations to improve…
A Fully Bayesian Gradient-Free Supervised Dimension Reduction Method using Gaussian Processes
Raphael Gautier, Piyush Pandita, Sayan Ghosh +1
Modern day engineering problems are ubiquitously characterized by sophisticated computer codes that map parameters or inputs to an underlying physical process. In other situations,…
Application of Convolutional Neural Network to Predict Airfoil Lift Coefficient
Yao Zhang, Woong-Je Sung, Dimitri Mavris
The adaptability of the convolutional neural network (CNN) technique for aerodynamic meta-modeling tasks is probed in this work. The primary objective is to develop suitable CNN ar…