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Author

Rubén R. Fernández

Observed names: Rubén Fernández, Rubén R． Fernández
Observed institution: Universidad Rey Juan Carlos
ORCID: 0000-0002-4140-1551
Observed ORCID: 0000-0002-4140-1551
OpenAlex ID: A5101420632
General Performance Score for classification problems
2022 · Isaac Martín De Diego, Ana R. Redondo, et al. · Applied Intelligence · 154
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Random forest explainability using counterfactual sets
2020 · Rubén R. Fernández, Isaac Martín de Diego, et al. · Information Fusion · 73
Minimally overfitted learners: A general framework for ensemble learning
2022 · Víctor Aceña, Isaac Martín de Diego, et al. · Knowledge-Based Systems · 45
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Landslide Susceptibility Assessment Using an AutoML Framework
2021 · Adrián G. Bruzón, Patricia Arrogante-Funes, et al. · International Journal of Environmental Research and Public Health · 33
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Combining user behavioural information at the feature level to enhance continuous authentication systems
2022 · Alejandro G. Martín, Isaac Martín de Diego, et al. · Knowledge-Based Systems · 30
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Explanation sets: A general framework for machine learning explainability
2022 · Rubén R. Fernández, Isaac Martín de Diego, et al. · Information Sciences · 21
Unified Performance Measure for Binary Classification Problems
2020 · Ana R. Redondo, Jorge Navarro, et al. · Lecture notes in computer science · 21
System for evaluating the reliability and novelty of medical scientific papers
2021 · Isaac Martín de Diego, César González-Fernández, et al. · Journal of Informetrics · 14
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Real-time classification of cattle behavior using Wireless Sensor Networks
2023 · Jorge Navarro, Rubén R. Fernández, et al. · Internet of Things · 12
Experts perception-based system to detect misinformation in health websites
2021 · César González-Fernández, Alberto Fernández-Isabel, et al. · Pattern Recognition Letters · 10
Support subsets estimation for support vector machines retraining
2022 · Víctor Aceña, Isaac Martín de Diego, et al. · Pattern Recognition · 7
Triangle-based outlier detection
2022 · Jorge Navarro, Isaac Martín de Diego, et al. · Pattern Recognition Letters · 7
Relevance Metric for Counterfactuals Selection in Decision Trees
2019 · Rubén R. Fernández, Isaac Martín de Diego, et al. · Lecture notes in computer science · 7
Advancing text adversarial example generation using large language models
2025 · Natalia Madrueño, Alberto Fernández-Isabel, et al. · Knowledge-Based Systems · 6
Bio-Inspired Agent-Based Architecture for Fraud Detection
2020 · Javier Cabezas, Alberto Fernandez-Isabel, et al. · International Conference on Information Management and Management Science (IMMS) · 3
Weighted Nearest Centroid Neighbourhood
2019 · Víctor Aceña, Javier M. Moguerza, et al. · Lecture notes in computer science · 2
Defining the attractiveness concept for cyber incidents forecasting
2025 · Javier García-Ochoa, Alberto Fernández-Isabel, et al. · Computer Science and Information Systems · 1
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DICYME: Dynamic industrial cyber risk modelling based on evidence
2026 · Javier García-Ochoa, Jaime Rueda, et al. · Computer Science and Information Systems
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DICYME: Dynamic industrial cyber risk modelling based on evidence
2026 · Javier García-Ochoa, Jaime Rueda, et al. · Computer Science and Information Systems
URJC-Team at #SMM4H-HeaRD 2026: TNM Stage Extraction with a Regex-LLM Workflow
2026 · Natalia Madrueño, Jose Walter Hernández Pérez, et al. · Social Media Mining for Health Research and Applications Workshop and Shared Tasks (SMM4H)
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FUCO: Fuzzy Counterfactuals Examples
2025 · Francisco Javier Cantero Zorita, Víctor Aceña, et al. · Lecture notes in computer science
Exploring New Methods of Data Augmentation for Intent Classification Through Large Language Models
2025 · Natalia Madrueño, Alberto Fernández-Isabel, et al. · Communications in computer and information science
Valoración de películas basada enProcesamiento del LenguajeNatural y Deep Learning
2018 · Rubén R. Fernández
Works count: 23
Citation count: 446
H-index: 10
I10-index: 10
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