Machine Learning 4 | List of Frontiers open access articles

Original Research

Published on 25 Jun 2021

Machine Learning With GA Optimization to Model the Agricultural Soil-Landscape of Germany: An Approach Involving Soil Functional Types With Their Multivariate Parameter Distributions Along the Depth Profile

in Environmental Informatics and Remote Sensing

Mareike Ließ
Anika Gebauer
Axel Don

Frontiers in Environmental Science

doi 10.3389/fenvs.2021.692959

4,914 views
18 citations

Original Research

Published on 22 May 2024

Interpretable machine learning for predicting the response duration to Sintilimab plus chemotherapy in patients with advanced gastric or gastroesophageal junction cancer

in Cancer Immunity and Immunotherapy

Dan-qi Wang
Wen-huan Xu
Xiao-wei Cheng
Lei Hua
Xiao-song Ge
Li Liu
Xiang Gao

Frontiers in Immunology

doi 10.3389/fimmu.2024.1407632

3,296 views
1 citation

Original Research

Published on 16 Apr 2024

Efficient design of sandwich panels with cellular truss cores and large phononic band gaps using surrogate modeling and global optimization

in Vibration Systems

Viviana Meruane
Ignacio Puiggros
Ruben Fernandez
Rafael O. Ruiz

Frontiers in Mechanical Engineering

doi 10.3389/fmech.2024.1329345

2,394 views
5 citations

Original Research

Published on 23 Dec 2021

Climatic and Morphometric Explanatory Variables of Glacier Changes in the Andes (8–55°S): New Insights From Machine Learning Approaches

in Cryospheric Sciences

Alexis Caro
Thomas Condom
Antoine Rabatel

Frontiers in Earth Science

doi 10.3389/feart.2021.713011

6,846 views
22 citations

Original Research

Published on 16 Dec 2022

Rapid classification of micro-particles using multi-angle dynamic light scatting and machine learning approach

in Biosensors and Biomolecular Electronics

Xu He
Chao Wang
Yichuan Wang
Junxiao Yu
Yanfeng Zhao
Jianqing Li
Mubashir Hussain
Bin Liu

Frontiers in Bioengineering and Biotechnology

doi 10.3389/fbioe.2022.1097363

3,279 views
2 citations

Original Research

Published on 09 Nov 2020

Circulating Neutrophil Extracellular Traps Signature for Identifying Organ Involvement and Response to Glucocorticoid in Adult-Onset Still’s Disease: A Machine Learning Study

in Autoimmune and Autoinflammatory Disorders

Jinchao Jia
Mengyan Wang
Yuning Ma
Jialin Teng
Hui Shi
Honglei Liu
Yue Sun
Yutong Su
Jianfen Meng
Huihui Chi

Frontiers in Immunology

doi 10.3389/fimmu.2020.563335

6,086 views
30 citations

Articles

Machine Learning With GA Optimization to Model the Agricultural Soil-Landscape of Germany: An Approach Involving Soil Functional Types With Their Multivariate Parameter Distributions Along the Depth Profile

Interpretable machine learning for predicting the response duration to Sintilimab plus chemotherapy in patients with advanced gastric or gastroesophageal junction cancer

Efficient design of sandwich panels with cellular truss cores and large phononic band gaps using surrogate modeling and global optimization

Climatic and Morphometric Explanatory Variables of Glacier Changes in the Andes (8–55°S): New Insights From Machine Learning Approaches

Rapid classification of micro-particles using multi-angle dynamic light scatting and machine learning approach

Circulating Neutrophil Extracellular Traps Signature for Identifying Organ Involvement and Response to Glucocorticoid in Adult-Onset Still’s Disease: A Machine Learning Study