ArticleProceedings of the ... SIAM International Conference on Data Mining. SIAM International Conference on Data Mining
Turbo-SMT: Accelerating Coupled Sparse Matrix-Tensor Factorizations by 200×.
Article in Proceedings of the ... SIAM International Conference on Data Mining. SIAM International Conference on Data Mining. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- A generalized higher-order correlation analysis framework for multi-omics network inference.PLoS computational biology · 2025Article
- Exploring dynamic metabolomics data with multiway data analysis: a simulation study.BMC bioinformatics · 2022Article
- Communication Efficient Federated Generalized Tensor Factorization for Collaborative Health Data Analytics.Proceedings of the ... International World-Wide Web Conference. International WWW Conference · 2021Article
- Coupled CP Decomposition of Simultaneous MEG-EEG Signals for Differentiating Oscillators During Photic Driving.Frontiers in neuroscience · 2020Article
- S3CMTF: Fast, accurate, and scalable method for incomplete coupled matrix-tensor factorization.PloS one · 2019Article
- Multi-view non-negative tensor factorization as relation learning in healthcare data.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2016Article
- Turbo-SMT: Parallel Coupled Sparse Matrix-Tensor Factorizations and Applications.Statistical analysis and data mining · 2016Article
- Rubik: Knowledge Guided Tensor Factorization and Completion for Health Data Analytics.KDD : proceedings. International Conference on Knowledge Discovery & Data Mining · 2015Article
- Structure-revealing data fusion.BMC bioinformatics · 2014Article
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
How can we correlate the neural activity in the human brain as it responds to typed words, with properties of these terms (like 'edible', 'fits in hand')? In short, we want to find latent variables, that jointly explain both the brain activity, as well as the behavioral responses. This is one of many settings of the
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.