Name
Title | ||
|---|---|---|
Euler Elastica regularized Logistic Regression for whole-brain decoding of fMRI data. |
Abstract | ||
|---|---|---|
Objective: Multivariate pattern analysis methods have been widely applied to functional magnetic resonance imaging (fMRI) data to decode brain states. Due to the “high features, low samples” in fMRI data, machine learning methods have been widely regularized using various regularizations to avoid overfitting. Both total variation (TV) using the gradients of images and Euler's elastica (EE) using t... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TBME.2017.2756665 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Decoding,TV,Brain modeling,Logistics,Three-dimensional displays,Classification algorithms | Computer vision,Functional magnetic resonance imaging,Computer science,Multivariate statistics,Robustness (computer science),Artificial intelligence,Overfitting,Decoding methods,Statistical classification,Discriminative model,Piecewise | Journal |
Volume | Issue | ISSN |
65 | 7 | 0018-9294 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chuncheng Zhang | 1 | 1 | 1.37 |
| Li Yao | 2 | 53 | 20.09 |
| Sutao Song | 3 | 1 | 0.35 |
| Xiao-Tong Wen | 4 | 22 | 5.20 |
| Xiao-Jie Zhao | 5 | 37 | 14.54 |
| Zhi-ying Long | 6 | 29 | 7.52 |