9 citations · 14 across the 7 of their papers we have counts for
4 papers · 1 filter
Solving FDR-Controlled Sparse Regression Problems with Five Million Variables on a Laptop
Fabian Scheidt, Jasin Machkour, Michael Muma
Currently, there is an urgent demand for scalable multivariate and high-dimensional false discovery rate (FDR)-controlling variable selection methods to ensure the repro-ducibility…
Robust Regularized Locality Preserving Indexing for Fiedler Vector Estimation
Aylin Tastan, Michael Muma, Abdelhak M. Zoubir
The Fiedler vector of a connected graph is the eigenvector associated with the algebraic connectivity of the graph Laplacian and it provides substantial information to learn the la…
Sparsity-aware Robust Community Detection(SPARCODE)
Aylin Tastan, Michael Muma, Abdelhak M. Zoubir
Community detection refers to finding densely connected groups of nodes in graphs. In important applications, such as cluster analysis and network modelling, the graph is sparse bu…
Robust Distributed Cooperative RSS-based Localization for Directed Graphs in Mixed LoS/NLoS Environments
Luca Carlino, Di Jin, Michael Muma +1
The accurate and low-cost localization of sensors using a wireless sensor network is critically required in a wide range of today's applications. We propose a novel, robust maximum…