Algorithm Performance | List of Frontiers open access articles

Original Research

Published on 23 Aug 2022

Machine learning algorithm performance evaluation in structural magnetic resonance imaging-based classification of pediatric bipolar disorders type I patients

Ruhai Dou
Weijia Gao
Qingmin Meng
Xiaotong Zhang
Weifang Cao
Liangfeng Kuang
Jinpeng Niu
Yongxin Guo
Dong Cui
Qing Jiao

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2022.915477

3,558 views
4 citations

Original Research

Published on 10 Apr 2025

Development and validation of identification algorithms for five autoimmune diseases using electronic health records: a retrospective cohort study in China

in Systems Immunology

Junting Yang
Yunxiao Wu
Jinxin Guo
Xiaoxuan Wang
Xin Gao
Xin Chen
Mengdi Zhang
Jin Yang
Zuojing Liu
Yan Liu

Frontiers in Immunology

doi 10.3389/fimmu.2025.1541203

5,168 views

Original Research

Published on 20 Apr 2021

Supervised Learning Computer Vision Benchmark for Snake Species Identification From Photographs: Implications for Herpetology and Global Health

in Machine Learning and Artificial Intelligence

Andrew M. Durso
Gokula Krishnan Moorthy
Sharada P. Mohanty
Isabelle Bolon
Marcel Salathé
Rafael Ruiz de Castañeda

Frontiers in Artificial Intelligence

doi 10.3389/frai.2021.582110

13,010 views
29 citations

Original Research

Published on 20 Jul 2015

Analyzing the Effects of Instance Features and Algorithm Parameters for Max–Min Ant System and the Traveling Salesperson Problem

in Computational Intelligence in Robotics

Samadhi Nallaperuma
Markus Wagner
Frank Neumann

Frontiers in Robotics and AI

doi 10.3389/frobt.2015.00018

7,194 views
26 citations

Original Research

Published on 21 Aug 2023

Detection of OFDM modulations based on the characterization in the phase diagram domain

in Signal Processing Theory

Angela Digulescu
Annamaria Sârbu
Denis Stanescu
Dragoș Nastasiu
Cristina Despina-Stoian
Cornel Ioana
Ali Mansour

Frontiers in Signal Processing

doi 10.3389/frsip.2023.1197590

3,971 views
3 citations

Original Research

Published on 13 Jan 2023

Evaluation of feature extraction algorithms for oceanic internal waves based on nighttime detection data of spaceborne low light imager

in Environmental Informatics and Remote Sensing

Hao Li
Shensen Hu
Shuo Ma
Zhonghui Tan
Weihua Ai
Wei Yan

Frontiers in Earth Science

doi 10.3389/feart.2022.1013550

1,438 views

Original Research

Published on 22 Feb 2023

A discrete side-lobe clutter recognition method based on sliding filter response loss for space-based radar

in Optics and Photonics

Yu Li
Wenhai Yang
Qi Li
Jinming Chen
Weiwei Wang
Caipin Li
Chongdi Duan

Frontiers in Physics

doi 10.3389/fphy.2023.1142154

2,537 views
1 citation

Original Research

Published on 20 Jul 2017

A Fast EEG Forecasting Algorithm for Phase-Locked Transcranial Electrical Stimulation of the Human Brain

in Neural Technology

Farrokh Mansouri
Katharine Dunlop
Peter Giacobbe
Jonathan Downar
José Zariffa

Frontiers in Neuroscience

doi 10.3389/fnins.2017.00401

12,384 views
60 citations

Original Research

Published on 10 Oct 2022

Integration of RNA molecules data with prior-knowledge driven Joint Deep Semi-Negative Matrix Factorization for heart failure study

in Computational Genomics

Zhihui Ma
Bin Chen
Yongjun Zhang
Jinmei Zeng
Jianping Tao
Yu Hu

Frontiers in Genetics

doi 10.3389/fgene.2022.967363

2,100 views
2 citations

Original Research

Published on 22 Jul 2022

A deep learning model based on dynamic contrast-enhanced magnetic resonance imaging enables accurate prediction of benign and malignant breast lessons

in Breast Cancer

Yanhong Chen
Lijun Wang
Ran Luo
Shuang Wang
Heng Wang
Fei Gao
Dengbin Wang

Frontiers in Oncology

doi 10.3389/fonc.2022.943415

3,897 views
19 citations

Review

Published on 23 Jan 2026

MALDI-TOF MS in conjunction with machine learning: toward a new era for antimicrobial susceptibility testing

in Clinical and Diagnostic Microbiology and Immunology

Miao Wang
Wei Xia
Jia Du
Hanshuang Ma
Baoyu Sun
Huabin Jiang
Jiancheng Xu

Frontiers in Cellular and Infection Microbiology

doi 10.3389/fcimb.2025.1731083

809 views

Original Research

Published on 13 Sep 2022

Establishing the energy consumption prediction model of aluminum electrolysis process by genetically optimizing wavelet neural network

in Smart Grids

Lizhong Yao
Qian Fan
Lei Zhao
Yanyan Li
Qingping Mei

Frontiers in Energy Research

doi 10.3389/fenrg.2022.1009840

2,164 views
2 citations

Original Research

Published on 20 Dec 2023

Application of artificial intelligence in the assessment of thyroid eye disease (TED) - a scoping review

in Thyroid Endocrinology

Chiaw-Ling Chng
Kaiping Zheng
Ann Kerwen Kwee
Ming-Han Hugo Lee
Daniel Ting
Chen Pong Wong
Guoyu Hu
Beng Chin Ooi
Si Wei Kheok

Frontiers in Endocrinology

doi 10.3389/fendo.2023.1300196

6,650 views
10 citations

Original Research

Published on 14 Dec 2023

Sex-related difference in the retinal structure of young adults: a machine learning approach

in Ophthalmology

Flávia Monteiro Farias
Railson Cruz Salomão
Enzo Gabriel Rocha Santos
Andrew Sousa Caires
Gabriela Santos Alvarez Sampaio
Alexandre Antônio Marques Rosa
Marcelo Fernandes Costa
Givago Silva Souza

Frontiers in Medicine

doi 10.3389/fmed.2023.1275308

3,191 views
2 citations

Original Research

Published on 16 Sep 2025

Development of a novel artificial intelligence algorithm for interpreting fetal heart rate and uterine activity data in cardiotocography

in Health Technology Implementation

Rohit Pardasani
Renee Vitullo
Sara Harris
Halit O. Yapici
John Beard

Frontiers in Digital Health

doi 10.3389/fdgth.2025.1638424

3,684 views
2 citations

Original Research

Published on 06 Jan 2023

Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI study and machine-learning analysis

in Neurocognitive Aging and Behavior

Zhaoshun Jiang
Yuxi Cai
Songbin Liu
Pei Ye
Yifeng Yang
Guangwu Lin
Shihong Li
Yan Xu
Yangjing Zheng
Zhijun Bao

Frontiers in Aging Neuroscience

doi 10.3389/fnagi.2022.1109485

4,956 views
6 citations

Articles

Machine learning algorithm performance evaluation in structural magnetic resonance imaging-based classification of pediatric bipolar disorders type I patients

Development and validation of identification algorithms for five autoimmune diseases using electronic health records: a retrospective cohort study in China

Supervised Learning Computer Vision Benchmark for Snake Species Identification From Photographs: Implications for Herpetology and Global Health

Analyzing the Effects of Instance Features and Algorithm Parameters for Max–Min Ant System and the Traveling Salesperson Problem

Detection of OFDM modulations based on the characterization in the phase diagram domain

Evaluation of feature extraction algorithms for oceanic internal waves based on nighttime detection data of spaceborne low light imager

A discrete side-lobe clutter recognition method based on sliding filter response loss for space-based radar

A Fast EEG Forecasting Algorithm for Phase-Locked Transcranial Electrical Stimulation of the Human Brain

Integration of RNA molecules data with prior-knowledge driven Joint Deep Semi-Negative Matrix Factorization for heart failure study

A deep learning model based on dynamic contrast-enhanced magnetic resonance imaging enables accurate prediction of benign and malignant breast lessons

MALDI-TOF MS in conjunction with machine learning: toward a new era for antimicrobial susceptibility testing

Establishing the energy consumption prediction model of aluminum electrolysis process by genetically optimizing wavelet neural network

Application of artificial intelligence in the assessment of thyroid eye disease (TED) - a scoping review

Sex-related difference in the retinal structure of young adults: a machine learning approach

Development of a novel artificial intelligence algorithm for interpreting fetal heart rate and uterine activity data in cardiotocography

Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI study and machine-learning analysis