Augusto Anguita-Ruiz

According to our database, Augusto Anguita-Ruiz authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Multiomics and eXplainable artificial intelligence for decision support in insulin resistance early diagnosis: A pediatric population-based longitudinal study.

Álvaro Torres-Martos, Augusto Anguita-Ruiz, Mireia Bustos-Aibar, Alberto Ramírez-Mena, María Arteaga, Gloria Bueno, Rosaura Leis, Concepción Maria Aguilera, Rafael Alcalá, Jesús Alcalá-Fdez

Artif. Intell. Medicine, 2024

Prediction of Continuous Targets by Explainable Imbalanced Regression from Omics Data in Childhood Obesity.

María Arteaga, Álvaro Torres-Martos, Augusto Anguita-Ruiz, Jesús Alcalá-Fdez, Rafael Alcalá, María José Gacto

Proceedings of the First Workshop on Explainable Artificial Intelligence for the Medical Domain (EXPLIMED 2024) co-located with 27th European Conference on Artificial Intelligence (ECAI 2024), 2024

2023

Explainable artificial intelligence to predict and identify prostate cancer tissue by gene expression.

Alberto Ramírez-Mena, Eduardo Andrés León, Maria Jesus Alvarez-Cubero, Augusto Anguita-Ruiz, Luis Javier Martinez-Gonzalez, Jesús Alcalá-Fdez

Comput. Methods Programs Biomed., October, 2023

Shared gene expression signatures between visceral adipose and skeletal muscle tissues are associated with cardiometabolic traits in children with obesity.

Mireia Bustos-Aibar, Concepción Maria Aguilera, Jesús Alcalá-Fdez, Francisco Javier Ruiz-Ojeda, Julio Plaza-Díaz, Abel Plaza-Florido, Inés Tofe, Mercedes Gil-Campos, María José Gacto, Augusto Anguita-Ruiz

Comput. Biol. Medicine, September, 2023

Learning positive-negative rule-based fuzzy associative classifiers with a good trade-off between complexity and accuracy.

Carmen Biedma-Rdguez, María José Gacto, Augusto Anguita-Ruiz, Rafael Alcalá, Concepción Maria Aguilera, Jesús Alcalá-Fdez

Fuzzy Sets Syst., August, 2023

2022

Transparent but Accurate Evolutionary Regression Combining New Linguistic Fuzzy Grammar and a Novel Interpretable Linear Extension.

Carmen Biedma-Rdguez, María José Gacto, Augusto Anguita-Ruiz, Jesús Alcalá-Fdez, Rafael Alcalá

Int. J. Fuzzy Syst., 2022

Mining high average-utility sequential rules to identify high-utility gene expression sequences in longitudinal human studies.

Alberto Segura-Delgado, Augusto Anguita-Ruiz, Rafael Alcalá, Jesús Alcalá-Fdez

Expert Syst. Appl., 2022

Human Multi-omics Data Pre-processing for Predictive Purposes Using Machine Learning: A Case Study in Childhood Obesity.

Álvaro Torres-Martos, Augusto Anguita-Ruiz, Mireia Bustos-Aibar, Sofia Cámara-Sánchez, Rafael Alcalá, Concepción Maria Aguilera, Jesús Alcalá-Fdez

Proceedings of the Bioinformatics and Biomedical Engineering, 2022

Gene Expression Profiles of Visceral and Subcutaneous Adipose Tissues in Children with Overweight or Obesity: The KIDADIPOSEQ Project.

Mireia Bustos-Aibar, Augusto Anguita-Ruiz, Álvaro Torres-Martos, Jesús Alcalá-Fdez, Francisco Javier Ruiz-Ojeda, Marjorie Reyes-Farias, Andrea Soria-Gondek, Laura Herrero, David Sánchez-Infantes, Concepción Maria Aguilera

Proceedings of the Bioinformatics and Biomedical Engineering, 2022

2020

eXplainable Artificial Intelligence (XAI) for the identification of biologically relevant gene expression patterns in longitudinal human studies, insights from obesity research.

Augusto Anguita-Ruiz, Alberto Segura-Delgado, Rafael Alcalá, Concepción Maria Aguilera, Jesús Alcalá-Fdez

PLoS Comput. Biol., 2020

2019

Describing Sequential Association Patterns from Longitudinal Microarray Data Sets in Humans.

Augusto Anguita-Ruiz, Alberto Segura-Delgado, Rafael Alcalá, Concepción Maria Aguilera, Jesús Alcalá Fernández

Proceedings of the Bioinformatics and Biomedical Engineering, 2019