24 citations · 39 across the 17 of their papers we have counts for
7 papers · 1 filter
Hypergraph Overlapping Community Detection for Brain Networks
Duc Vu, Selin Aviyente
Functional magnetic resonance imaging (fMRI) has been commonly used to construct functional connectivity networks (FCNs) of the human brain. TFCNs are primarily limited to quantify…
Multiview Graph Learning with Consensus Graph
Abdullah Karaaslanli, Selin Aviyente
Graph topology inference, i.e., learning graphs from a given set of nodal observations, is a significant task in many application domains. Existing approaches are mostly limited to…
From Nano to Macro: Overview of the IEEE Bio Image and Signal Processing Technical Committee
Selin Aviyente, Alejandro Frangi, Erik Meijering +6
The Bio Image and Signal Processing (BISP) Technical Committee (TC) of the IEEE Signal Processing Society (SPS) promotes activities within the broad technical field of biomedical i…
Community Detection in Multi-frequency EEG Networks
Abdullah Karaaslanli, Meiby Ortiz-Bouza, Tamanna T. K. Munia +1
Objective: In recent years, the functional connectivity of the human brain has been studied with graph theoretical tools. One such approach is community detection which is fundamen…
GLOSS: Tensor-Based Anomaly Detection in Spatiotemporal Urban Traffic Data
Seyyid Emre Sofuoglu, Selin Aviyente
Anomaly detection in spatiotemporal data is a challenging problem encountered in a variety of applications including hyperspectral imaging, video surveillance and urban traffic mon…
Multi-Branch Tensor Network Structure for Tensor-Train Discriminant Analysis
Seyyid Emre Sofuoglu, Selin Aviyente
Higher-order data with high dimensionality arise in a diverse set of application areas such as computer vision, video analytics and medical imaging. Tensors provide a natural tool…
Extension of PCA to Higher Order Data Structures: An Introduction to Tensors, Tensor Decompositions, and Tensor PCA
Ali Zare, Alp Ozdemir, Mark A. Iwen +1
The widespread use of multisensor technology and the emergence of big data sets have brought the necessity to develop more versatile tools to represent higher-order data with multi…