Search Results for author:
Found 3 papers, 1 papers with code
Eigenbehaviour as an Indicator of Cognitive Abilities
The usage of the reconstruction error is a strong digital biomarker for the binary classification and, to a lesser extent, for more detailed prediction of interindividual differences in cognition.
Deep Canonical Correlation Alignment for Sensor Signals
In this work, we present Deep Canonical Correlation Alignment (DCCA), a novel, generally applicable solution for the temporal alignment of raw (biomedical) sensor signals.
Trainable Spectrally Initializable Matrix Transformations in Convolutional Neural Networks
In this work, we investigate the application of trainable and spectrally initializable matrix transformations on the feature maps produced by convolution operations.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
