ArticleImaging neuroscience (Cambridge, Mass.)2025
Factorized binary search: Change point detection in the network structure of multivariate high-dimensional time series.
Article in Imaging neuroscience (Cambridge, Mass.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Precipitation modeling in Northeastern Bangladesh-India transboundary flood regions using bi-metaheuristic-optimized NMF-neural network.Scientific reports · 2025Article
- Factorized binary search: Change point detection in the network structure of multivariate high-dimensional time series.Imaging neuroscience (Cambridge, Mass.) · 2025Article
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3 authors.
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Abstract
Functional magnetic resonance imaging (fMRI) time series data present a unique opportunity to understand the behavior of temporal brain connectivity, and models that uncover the complex dynamic workings of this organ are of keen interest in neuroscience. We are motivated to develop accurate change point detection and network estimation techniques for high-dimensional whole-brain fMRI data. To this end, we introduce
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