Yu-ping Wang

activity

20162022

most citedLatent Similarity Identifies Important Functional Connections for Phenotype Prediction

17 citations · 42 across the 14 of their papers we have counts for

collaborators

Showing 2020 · stat.MLShow all

2 papers · 2 filters

stat.ML2020

Causal inference of brain connectivity from fMRI with $ψ$ -Learning Incorporated Linear non-Gaussian Acyclic Model ( $ψ$ -LiNGAM)

Aiying Zhang, Gemeng Zhang, Biao Cai +6

Functional connectivity (FC) has become a primary means of understanding brain functions by identifying brain network interactions and, ultimately, how those interactions produce c…

stat.ML2020

A generalized kernel machine approach to identify higher-order composite effects in multi-view datasets

Md Ashad Alam, Chuan Qiu, Hui Shen +2

In recent years, a comprehensive study of multi-view datasets (e.g., multi-omics and imaging scans) has been a focus and forefront in biomedical research. State-of-the-art biomedic…

Causal inference of brain connectivity from fMRI with ψ-Learning Incorporated Linear non-Gaussian Acyclic Model (ψ-LiNGAM)

A generalized kernel machine approach to identify higher-order composite effects in multi-view datasets

Causal inference of brain connectivity from fMRI with $ψ$ -Learning Incorporated Linear non-Gaussian Acyclic Model ( $ψ$ -LiNGAM)