Correlation-based Prediction
Correlation-Based Prediction is a branch prediction technique in computer architecture that exploits correlations between the outcomes of previously executed branches to improve the accuracy of predicting future branch behavior, differing from simpler predictors by leveraging historical patterns of conditional jumps across multiple control-flow locations.
133
Publications
6.8K
Citations
442
Authors
186
Institutions
Publications per year
2017–2026
38
Parents
133
Optimising network modelling methods for fMRI
Usama Pervaiz, Diego Vidaurre, Mark W. Woolrich et al. · NeuroImage · 2020 · 260 citations · Full text
Identification of toxicologically predictive gene sets using cDNA microarrays
Russell S. Thomas, David R. Rank, Sharron G. Penn et al. · Molecular Pharmacology · 2001 · 242 citations
Pharmacy, Bioinformatics, Toxicology +17
1–5 of 133
442
6
h-index
5
h-index
4
h-index
3
h-index
Institut de Recherche en Informatique et Systèmes Aléatoires, France
3 publications · 182 citations
3
h-index
1–5 of 442
186
University of Michigan
Ann Arbor, United States
8 h-index
25 publications
2.1K citations
Harvard University
Cambridge, United States
6 h-index
13 publications
944 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
5 h-index
10 publications
279 citations
The University of Texas at Austin
Austin, United States
4 h-index
12 publications
1.3K citations
Tsinghua University
Beijing, China
4 h-index
5 publications
371 citations
University of Wisconsin–Madison
Madison, United States
4 h-index
17 publications
3K citations

Xi'an Jiaotong University
Xi'an, China
3 h-index
11 publications
282 citations
Georgia Institute of Technology
Atlanta, United States
3 h-index
5 publications
149 citations
1–8 of 186
4 publications · 161 citations
4
h-index
3 publications · 134 citations
3
h-index
3 publications · 52 citations
3
h-index
2 publications · 106 citations
2
h-index
2 publications · 108 citations
2
h-index
1–5