Rubén R. Fernández

According to our database, Rubén R. Fernández authored at least 14 papers between 2019 and 2024.

Collaborative distances:

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

2024

Real-time classification of cattle behavior using Wireless Sensor Networks.

Jorge Navarro, Rubén R. Fernández, Víctor Aceña, Alberto Fernández-Isabel, Carmen Lancho, Isaac Martín de Diego

Internet Things, April, 2024

2023

Support subsets estimation for support vector machines retraining.

Víctor Aceña, Isaac Martín de Diego, Rubén R. Fernández, Javier M. Moguerza

Pattern Recognit., 2023

2022

Triangle-based outlier detection.

Jorge Navarro, Isaac Martín de Diego, Rubén R. Fernández, Javier M. Moguerza

Pattern Recognit. Lett., 2022

Combining user behavioural information at the feature level to enhance continuous authentication systems.

Alejandro G. Martín, Isaac Martín de Diego, Alberto Fernández-Isabel, Marta Beltrán, Rubén R. Fernández

Knowl. Based Syst., 2022

Minimally overfitted learners: A general framework for ensemble learning.

Víctor Aceña, Isaac Martín de Diego, Rubén R. Fernández, Javier M. Moguerza

Knowl. Based Syst., 2022

Explanation sets: A general framework for machine learning explainability.

Rubén R. Fernández, Isaac Martín de Diego, Javier M. Moguerza, Francisco Herrera

Inf. Sci., 2022

General Performance Score for classification problems.

Isaac Martín de Diego, Ana R. Redondo, Rubén R. Fernández, Jorge Navarro, Javier M. Moguerza

Appl. Intell., 2022

2021

Experts perception-based system to detect misinformation in health websites.

César González-Fernández, Alberto Fernández-Isabel, Isaac Martín de Diego, Rubén R. Fernández, J. F. J. Viseu Pinheiro

Pattern Recognit. Lett., 2021

System for evaluating the reliability and novelty of medical scientific papers.

Isaac Martín de Diego, César González-Fernández, Alberto Fernández-Isabel, Rubén R. Fernández, Javier Cabezas

J. Informetrics, 2021

2020

Random forest explainability using counterfactual sets.

Rubén R. Fernández, Isaac Martín de Diego, Víctor Aceña, Alberto Fernández-Isabel, Javier M. Moguerza

Inf. Fusion, 2020

Bio-Inspired Agent-Based Architecture for Fraud Detection.

Javier Cabezas, Alberto Fernández-Isabel, Rubén R. Fernández, César González-Fernández, Adrián Alonso, Isaac Martín de Diego

Proceedings of the IMMS 2020: 2020 3rd International Conference on Information Management and Management Science, 2020

Unified Performance Measure for Binary Classification Problems.

Ana R. Redondo, Jorge Navarro, Rubén R. Fernández, Isaac Martín de Diego, Javier M. Moguerza, Juan José Fernández-Muñoz

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020

2019

Relevance Metric for Counterfactuals Selection in Decision Trees.

Rubén R. Fernández, Isaac Martín de Diego, Víctor Aceña, Javier M. Moguerza, Alberto Fernández-Isabel

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Weighted Nearest Centroid Neighbourhood.

Víctor Aceña, Javier M. Moguerza, Isaac Martín de Diego, Rubén R. Fernández

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019