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Found 4 papers, 2 papers with code
NeuroVoz: a Castillian Spanish corpus of parkinsonian speech
The advancement of Parkinson's Disease (PD) diagnosis through speech analysis is hindered by a notable lack of publicly available, diverse language datasets, limiting the reproducibility and further exploration of existing research.
Detecting train driveshaft damages using accelerometer signals and Differential Convolutional Neural Networks
Railway axle maintenance is critical to avoid catastrophic failures.
Multimodal hierarchical Variational AutoEncoders with Factor Analysis latent space
For this purpose, recent studies based on deep generative models merge all views into a nonlinear complex latent space, which can share information among views.
Bayesian Sparse Factor Analysis with Kernelized Observations
In particular, we combine probabilistic factor analysis with what we refer to as kernelized observations, in which the model focuses on reconstructing not the data itself, but its relationship with other data points measured by a kernel function.
