Feature Weight | List of Frontiers open access articles

Methods

Published on 16 Apr 2014

Prioritizing spatial accuracy in high-resolution fMRI data using multivariate feature weight mapping

in Brain Imaging Methods

Johannes Stelzer
Tilo Buschmann
Gabriele Lohmann
Daniel S. Margulies
Robert Trampel
Robert Turner

Frontiers in Neuroscience

doi 10.3389/fnins.2014.00066

7,635 views
12 citations

Original Research

Accepted on 10 Apr 2026

Interpretable Learning Algorithms Enables Pathogenic Potential Assessment and Virulence-associated Gene Discovery of Vibrio parahaemolyticus

in Food Microbiology

Luxin Wang
Zhuosheng Liu
Zhuoheng Li
Jiawei Zhang
C Titus Brown

Frontiers in Microbiology

330 views

Original Research

Published on 18 Jan 2022

A Hybrid Feature Selection and Ensemble Approach to Identify Depressed Users in Online Social Media

in Health Psychology

Jingfang Liu
Mengshi Shi

Frontiers in Psychology

doi 10.3389/fpsyg.2021.802821

7,399 views
34 citations

Original Research

Published on 13 Apr 2026

A multimodal imaging–based integrative framework for HIV-associated cognitive impairment and treatment response

in Brain Imaging Methods

Xing Qiu
Md Nasir Uddin
Lu Wang
Alicia Tyrell
Abrar Faiyaz
Nhat Hoang
Yuchuan Zhuang
Madalina E. Tivarus
Jianhui Zhong
Miriam T. Weber

Frontiers in Neuroscience

doi 10.3389/fnins.2026.1775047

413 views

Methods

Published on 26 Apr 2019

High-Order Correlation Integration for Single-Cell or Bulk RNA-seq Data Analysis

in Computational Genomics

Hui Tang
Tao Zeng
Luonan Chen

Frontiers in Genetics

doi 10.3389/fgene.2019.00371

15,585 views
14 citations

Original Research

Published on 20 Jul 2023

CDBA: a novel multi-branch feature fusion model for EEG-based emotion recognition

in Computational Physiology and Medicine

Zhentao Huang
Yahong Ma
Jianyun Su
Hangyu Shi
Shanshan Jia
Baoxi Yuan
Weisu Li
Jingzhi Geng
Tingting Yang

Frontiers in Physiology

doi 10.3389/fphys.2023.1200656

3,463 views
6 citations

Original Research

Published on 26 Nov 2024

The diagnostic efficacy of seven autoantibodies in early detection of ground-glass nodular lung adenocarcinoma

in Thoracic Oncology

Hua Guo
Wei Zhao
Chunsun Li
Zhen Wu
Ling Yu
Miaoyu Wang
Yuanhui Wei
Zirui Wang
Shangshu Liu
Yue Yin

Frontiers in Oncology

doi 10.3389/fonc.2024.1499140

2,204 views
2 citations

Articles

Prioritizing spatial accuracy in high-resolution fMRI data using multivariate feature weight mapping

Interpretable Learning Algorithms Enables Pathogenic Potential Assessment and Virulence-associated Gene Discovery of Vibrio parahaemolyticus

A Hybrid Feature Selection and Ensemble Approach to Identify Depressed Users in Online Social Media

A multimodal imaging–based integrative framework for HIV-associated cognitive impairment and treatment response

High-Order Correlation Integration for Single-Cell or Bulk RNA-seq Data Analysis

CDBA: a novel multi-branch feature fusion model for EEG-based emotion recognition

The diagnostic efficacy of seven autoantibodies in early detection of ground-glass nodular lung adenocarcinoma