Symbolic Regression | List of Frontiers open access articles

Original Research

Published on 27 Jan 2023

Application of the symbolic regression program AI-Feynman to psychology

in AI for Human Learning and Behavior Change

Masato Miyazaki
Ken-Ichi Ishikawa
Ken'ichiro Nakashima
Hiroshi Shimizu
Taiki Takahashi
Nobuyuki Takahashi

Frontiers in Artificial Intelligence

doi 10.3389/frai.2023.1039438

6,192 views
3 citations

Original Research

Published on 27 Aug 2024

Estimating the compressive strength of lightweight foamed concrete using different machine learning-based symbolic regression techniques

in Construction Materials

Kennedy C. Onyelowe
Ahmed M. Ebid
Danilo Fernando Fernandez Vinueza
Néstor Augusto Estrada Brito
Nancy Velasco
Jorge Buñay
Sabih Hashim Muhodir
Hamza Imran
Shadi Hanandeh

Frontiers in Built Environment

doi 10.3389/fbuil.2024.1446597

3,873 views
8 citations

Brief Research Report

Published on 22 Jun 2023

Interpretation of deep non-linear factorization for autism

in Computational Psychiatry

Boran Chen
Bo Yin
Hengjin Ke

Frontiers in Psychiatry

doi 10.3389/fpsyt.2023.1199113

2,198 views
2 citations

Methods

Published on 11 Dec 2020

Automated Discovery of Relationships, Models, and Principles in Ecology

in Models in Ecology and Evolution

Pedro Cardoso
Vasco V. Branco
Paulo A. V. Borges
José C. Carvalho
François Rigal
Rosalina Gabriel
Stefano Mammola
José Cascalho
Luís Correia

Frontiers in Ecology and Evolution

doi 10.3389/fevo.2020.530135

8,594 views
18 citations

Original Research

Published on 02 May 2024

Predicting the impact of adding metakaolin on the splitting strength of concrete using ensemble ML classification and symbolic regression techniques –a comparative study

in Construction Materials

Cesar Garcia
Alexis Ivan Andrade Valle
Angel Alberto Silva Conde
Nestor Ulloa
Alireza Bahrami
Kennedy C. Onyelowe
Ahmed M. Ebid
Shadi Hanandeh

Frontiers in Built Environment

doi 10.3389/fbuil.2024.1395448

2,384 views
5 citations

Original Research

Published on 27 Jun 2024

A novel ML-driven test case selection approach for enhancing the performance of grammatical evolution

in Theoretical Computer Science

Krishn Kumar Gupt
Meghana Kshirsagar
Douglas Mota Dias
Joseph P. Sullivan
Conor Ryan

Frontiers in Computer Science

doi 10.3389/fcomp.2024.1346149

2,470 views
1 citation

Original Research

Published on 01 Aug 2023

Predicting weight loss success on a new Nordic diet: an untargeted multi-platform metabolomics and machine learning approach

in Nutrigenomics

Kristina Pigsborg
Valdemar Stentoft-Larsen
Samuel Demharter
Mona Adnan Aldubayan
Alessia Trimigno
Bekzod Khakimov
Søren Balling Engelsen
Arne Astrup
Mads Fiil Hjorth
Lars Ove Dragsted

Frontiers in Nutrition

doi 10.3389/fnut.2023.1191944

5,579 views
3 citations

Articles

Application of the symbolic regression program AI-Feynman to psychology

Estimating the compressive strength of lightweight foamed concrete using different machine learning-based symbolic regression techniques

Interpretation of deep non-linear factorization for autism

Automated Discovery of Relationships, Models, and Principles in Ecology

Predicting the impact of adding metakaolin on the splitting strength of concrete using ensemble ML classification and symbolic regression techniques –a comparative study

A novel ML-driven test case selection approach for enhancing the performance of grammatical evolution

Predicting weight loss success on a new Nordic diet: an untargeted multi-platform metabolomics and machine learning approach