Search Results for author:
Found 3 papers, 0 papers with code
Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models
The new approach is tested on a high-dimensional CFD application of a two-phase liquid flow with non-linear observation operators that current Latent Assimilation methods can not handle.
Predicting Louisiana Public High School Dropout through Imbalanced Learning Techniques
Performance metrics used in this study are F-measure, recall and precision of the rare class.
Multimodal Classification with Deep Convolutional-Recurrent Neural Networks for Electroencephalography
Herein, we propose a novel approach to modeling cognitive events from EEG data by reducing it to a video classification problem, which is designed to preserve the multimodal information of EEG.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
