Víctor Aceña is an author at Universidad Rey Juan Carlos specializing in computer science, computational social science, and knowledge discovery.
Top concepts
ComplexityStatisticsData MiningEngineeringData ScienceClassificationComputer ScienceMachine LearningKnowledge DiscoveryPattern Recognition
Publications per year
2020–2023
4
4
Random forest explainability using counterfactual sets
Rubén R. Fernández, Isaac Martín de Diego, Víctor Aceña et al. · Information Fusion · 2020 · 68 citations · Full text
Minimally overfitted learners: A general framework for ensemble learning
Víctor Aceña, Isaac Martín de Diego, Rubén R. Fernández et al. · Knowledge-Based Systems · 2022 · 39 citations · Full text
Hostility measure for multi-level study of data complexity
Carmen Lancho, Isaac Martín de Diego, Marina Cuesta et al. · Applied Intelligence · 2022 · 12 citations · Full text
Real-time classification of cattle behavior using Wireless Sensor Networks
Jorge Navarro, Rubén R. Fernández, Víctor Aceña et al. · Internet of Things · 2023 · 11 citations · Full text
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