1 code implementation • 9 Jul 2020 • Laura Rieger, Rasmus M. Th. Høegh, Lars K. Hansen
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.
no code implementations • 2 Oct 2017 • Albert Vilamala, Kristoffer H. Madsen, Lars K. Hansen
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)
no code implementations • NeurIPS 2014 • Michael R. Andersen, Ole Winther, Lars K. Hansen
Sparse signal recovery addresses the problem of solving underdetermined linear inverse problems subject to a sparsity constraint.
no code implementations • NeurIPS 2010 • Morten Mørup, Kristoffer Madsen, Anne-Marie Dogonowski, Hartwig Siebner, Lars K. Hansen
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.