ArticleIEEE signal processing magazine2022
Reproducibility in Matrix and Tensor Decompositions: Focus on Model Match, Interpretability, and Uniqueness.
Article in IEEE signal processing magazine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- Revealing subject-specific temporal patterns from longitudinal data.Bioinformatics (Oxford, England) · 2026Article
- Dynamic Co-Modulation (DyCoM): A Unified Operator Framework for Dynamic Connectivity in Neuroimaging.bioRxiv : the preprint server for biology · 2026Article
- Assessing tensor decomposition quality of immune profiling data from a dictionary learning perspective.bioRxiv : the preprint server for biology · 2026Article
- Extracting host-specific developmental signatures from longitudinal microbiome data.PLoS computational biology · 2026Article
- Exploring synergies: Advancing neuroscience with machine learning.Signal processing · 2026Article
- Multidimensional Comparisons Between Constrained ICA/IVA Algorithms for Multi-Subject fMRI Data Analysis.IEEE access : practical innovations, open solutions · 2026Article
- A telescopic independent component analysis on functional magnetic resonance imaging dataset.Network neuroscience (Cambridge, Mass.) · 2025Article
- Longitudinal Metabolomics Data Analysis Informed by Mechanistic Models.Metabolites · 2024Article
- Constrained Independent Vector Analysis With Reference for Multi-Subject fMRI Analysis.IEEE transactions on bio-medical engineering · 2024Article
- Revealing static and dynamic biomarkers from postprandial metabolomics data through coupled matrix and tensor factorizations.Metabolomics : Official journal of the Metabolomic Society · 2024Article
- Characterizing human postprandial metabolic response using multiway data analysis.Metabolomics : Official journal of the Metabolomic Society · 2024Article
- Analyzing postprandial metabolomics data using multiway models: a simulation study.BMC bioinformatics · 2024Article
- A Scalable Approach to Independent Vector Analysis by Shared Subspace Separation for Multi-Subject fMRI Analysis.Sensors (Basel, Switzerland) · 2023Article
- An Indoor Fall Monitoring System: Robust, Multistatic Radar Sensing and Explainable, Feature-Resonated Deep Neural Network.IEEE journal of biomedical and health informatics · 2023Article
- Reproducibility and replicability in neuroimaging data analysis.Current opinion in neurology · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.