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David Escudero García

Observed names: D. Escudero, David Garcia, David García, Escudero García, David
ORCID: 0000-0002-3776-3920
Observed ORCID: 0000-0002-3776-3920
OpenAlex ID: A5090547061
Effect of the Sampling of a Dataset in the Hyperparameter Optimization Phase over the Efficiency of a Machine Learning Algorithm
2019 · Noemí DeCastro-García, Ángel Luis Muñoz Castañeda, et al. · Complexity · 100
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An effectiveness analysis of transfer learning for the concept drift problem in malware detection
2022 · David Escudero García, Noemí DeCastro-García, et al. · Expert Systems with Applications · 45
Optimal feature configuration for dynamic malware detection
2021 · David Escudero García, Noemí DeCastro-García · Computers & Security · 32
A two-step approach of feature construction for a genetic learning algorithm
2011 · David Garcia, Antonio Gonzalez, et al. · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) · 10
RHOASo: An Early Stop Hyper-Parameter Optimization Algorithm
2021 · Ángel Luis Muñoz Castañeda, Noemí DeCastro-García, et al. · Mathematics · 6
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Conformal prediction for labelling and updating online models in the presence of concept drift in cybersecurity
2025 · David Escudero García, Noemí DeCastro-García · Journal of Information Security and Applications · 4
Application of Anomaly Detection Models to Malware Detection in the Presence of Concept Drift
2023 · David Escudero García, Noemí DeCastro-García · Lecture notes in computer science · 4
Transfer and online learning for IP maliciousness prediction in a concept drift scenario
2024 · David Escudero García, Noemí DeCastro-García · Wireless Networks · 3
Towards Supercomputing Categorizing the Maliciousness upon Cybersecurity Blacklists with Concept Drift
2023 · M. V. Carriegos, N. DeCastro-García, et al. · Computational and Mathematical Methods · 3
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A mathematical analysis about the geo-temporal characterization of the multi-class maliciousness of an IP address
2022 · Noemí DeCastro-García, David Escudero García, et al. · Wireless Networks · 3
Meta-feature-based data preprocessing for machine learning through correlation structures and cost-aware benchmarking: A case study in cybersecurity
2025 · Noemí DeCastro-García, David Escudero García · AIMS Mathematics · 1
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Application of Transfer Learning to Online Models in Malware Detection
2024 · David Escudero García, Noemí DeCastro-García · Lecture notes in computer science · 1
An iterative strategy for feature construction on a fuzzy rule-based learning algorithm
2011 · David Garcia, Antonio Gonzalez, et al. · International Conference on Intelligent Systems Design and Applications (ISDA) · 1
Concept drift and machine learning in cybersecurity: study of mitigation strategies
2026 · Escudero García, David · Buleria (Universidad de León)
Reinforcement Learning for the Optimization of Adaptive Intrusion Detection Systems
2026 · Óscar Mogollón-Gutiérrez, David Escudero García, et al. · Summer School on Artificial Intelligence in Cybersecurity
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Modified Fast Inertial‐Type Krasnosel’skii‐Mann Iterative Scheme Involving Asymptotically Nonexpansive Mapping
2026 · Emmanuel Akaligwo, Micah Osilike, et al. · Computational and Mathematical Methods
Deriva conceptual y aprendizaje automático en ciberseguridad: estudio de estrategias de mitigación
2026 · David Escudero García · Buleria (Universidad de León)
Aplicación de transfer learning a la detección de malware
2021 · David Escudero García, Ángel Luis Muñoz Castañeda, et al. · Colección Jornadas y congresos
A review of: Effect of the Sampling of a Dataset in the Hyperparameter Optimization Phase over the Efficiency of a Machine Learning Algorithm
2021 · David Escudero García, Noemí DeCastro-García, et al. · Colección Jornadas y congresos
Aplicación de técnicas de transfer learning a problemas de ciberseguridad
2019 · David García, Ángel Luis Muñoz Castañeda · Dialnet (Universidad de la Rioja)
Works count: 64
Citation count: 213
H-index: 5
I10-index: 4
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