Laura Arnal

According to our database, Laura Arnal authored at least 6 papers between 2023 and 2026.

Collaborative distances:

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

2026

Explaining Machine Learning Predictive Models through Conditional Expectation Methods.

Silvia Ruiz-España, Laura Arnal, François Signol, Juan-Carlos Perez-Cortes, Joaquim Arlandis

CoRR, January, 2026

2025

Identification of relevant features using SEQENS to improve supervised machine learning models predicting AML treatment outcome.

Pedro Pons-Suñer, François Signol, Noemi Alvarez, Claudia Sargas, Sara Dorado, Jose Vicente Gil Ortí, Juan A. Delgado Sanchis, Marta Llop, Laura Arnal, Rafael Llobet, Juan-Carlos Perez-Cortes, Rosa Ayala, Eva Barragán

BMC Medical Informatics Decis. Mak., December, 2025

A machine learning approach for type 2 diabetes diagnosis and prognosis using tailored heterogeneous feature subsets.

Jose Ramón Navarro-Cerdán, Pedro Pons-Suñer, Laura Arnal, Joaquim Arlandis, Rafael Llobet, Juan-Carlos Perez-Cortes, Francisco Lara-Hernández, Celeste Moya-Valera, Maria Elena Quiroz-Rodriguez, Gemma Rojo-Martinez, Sergio Valdés, Eduard Montanya, Alfonso L. Calle-Pascual, Josep Franch-Nadal, Elias Delgado, Luis Castaño, Ana-Bárbara García-García, Felipe Javier Chaves

Medical Biol. Eng. Comput., September, 2025

Feature Identification Using Hypotheses of Relevance and a 2D-Cascade of SEQENS Ensembles.

Joaquim Arlandis, Rafael Llobet, Jose Ramón Navarro-Cerdán, Laura Arnal, François Signol, Juan-Carlos Perez-Cortes

Expert Syst. J. Knowl. Eng., March, 2025

2024

ITI-IQA: a Toolbox for Heterogeneous Univariate and Multivariate Missing Data Imputation Quality Assessment.

Pedro Pons-Suñer, Laura Arnal, Jose Ramón Navarro-Cerdán, François Signol

CoRR, 2024

2023

SEQENS: An ensemble method for relevant gene identification in microarray data.

François Signol, Laura Arnal, J. Ramon Navarro-Cerdan, Rafael Llobet, Joaquim Arlandis, Juan-Carlos Perez-Cortes

Comput. Biol. Medicine, 2023