ArticleIEEE transactions on signal processing : a publication of the IEEE Signal Processing Society2019
Symmetric Bilinear Regression for Signal Subgraph Estimation.
Article in IEEE transactions on signal processing : a publication of the IEEE Signal Processing Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Neuroimaging biomarkers of neuroprotection: Impact of voluntary versus enforced exercise in Alzheimer's disease models.Magnetic resonance imaging · 2025Article
- Bayesian scalar-on-network regression with applications to brain functional connectivity.Biometrics · 2025Article
- Identifying microbial drivers in biological phenotypes with a Bayesian network regression model.Ecology and evolution · 2024Article
- Matrix-Variate Regression for Sparse, Low-Rank Estimation of Brain Connectivities Associated With a Clinical Outcome.IEEE transactions on bio-medical engineering · 2024Article
- Accelerated Brain Atrophy, Microstructural Decline and Connectopathy in Age-Related Macular Degeneration.Biomedicines · 2024Article
- Tree representations of brain structural connectivity via persistent homology.Frontiers in neuroscience · 2023Article
- Single-index models with functional connectivity network predictors.Biostatistics (Oxford, England) · 2022Article
- SCALAR ON NETWORK REGRESSION VIA BOOSTING.The annals of applied statistics · 2022Article
- Graph auto-encoding brain networks with applications to analyzing large-scale brain imaging datasets.NeuroImage · 2021Article
- Inference for Multiple Heterogeneous Networks with a Common Invariant Subspace.Journal of machine learning research : JMLR · 2021Article
- Learning Clique Subgraphs in Structural Brain Network Classification with Application to Crystallized Cognition.NeuroImage · 2021Article
- Analyzing Dynamical Brain Functional Connectivity as Trajectories on Space of Covariance Matrices.IEEE transactions on medical imaging · 2020Article
- Tensor network factorizations: Relationships between brain structural connectomes and traits.NeuroImage · 2019Article
- Soft Tensor Regression.Journal of machine learning research : JMLRArticle
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Authors and funding
3 authors.
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Abstract
There is an increasing interest in learning a set of small outcome-relevant subgraphs in network-predictor regression. The extracted signal subgraphs can greatly improve the interpretation of the association between the network predictor and the response. In brain connectomics, the brain network for an individual corresponds to a set of interconnections among brain regions and there is a strong interest in linking the brain connectome to human cognitive traits. Modern neuroimaging technology allows a very fine segmentation of the brain, producing very large structural brain networks. Therefore, accurate and efficient methods for identifying a set of small predictive subgraphs become crucial, leading to discovery of key interconnected brain regions related to the trait and important insights on the mechanism of variation in human cognitive traits. We propose a symmetric bilinear model with
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