Search Results for author:
Found 4 papers, 1 papers with code
Client Adaptation improves Federated Learning with Simulated Non-IID Clients
We present a federated learning approach for learning a client adaptable, robust model when data is non-identically and non-independently distributed (non-IID) across clients.
Deep Convolutional Neural Networks for Interpretable Analysis of EEG Sleep Stage Scoring
Sleep studies are important for diagnosing sleep disorders such as insomnia, narcolepsy or sleep apnea.
Ranked #8 on
Sleep Stage Detection
on Sleep-EDF
(using extra training data)
Bayesian Inference for Structured Spike and Slab Priors
Sparse signal recovery addresses the problem of solving underdetermined linear inverse problems subject to a sparsity constraint.
Infinite Relational Modeling of Functional Connectivity in Resting State fMRI
Functional magnetic resonance imaging (fMRI) can be applied to study the functional connectivity of the neural elements which form complex network at a whole brain level.
