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Ines Ortega-Fernandez

Observed names: Ortega Fernández, Inés, Ortega-Fernandez, Ines
ORCID: 0000-0002-8041-6860
Observed ORCID: 0000-0002-8041-6860
OpenAlex ID: A5088028263
A Review of Denial of Service Attack and Mitigation in the Smart Grid Using Reinforcement Learning
2023 · Ines Ortega-Fernandez, Francesco Liberati · Energies · 105
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Network intrusion detection system for DDoS attacks in ICS using deep autoencoders
2023 · Ines Ortega-Fernandez, Marta Sestelo, et al. · Wireless Networks · 105
Explainable generalized additive neural networks with independent neural network training
2023 · Ines Ortega-Fernandez, Marta Sestelo, et al. · Statistics and Computing · 18
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Cybersecurity threat detection based on a UEBA framework using Deep Autoencoders
2025 · Jose Fuentes, Ines Ortega-Fernandez, et al. · AIMS Mathematics · 12
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Large Scale Data Anonymisation for GDPR Compliance
2021 · Ines Ortega-Fernandez, Sara El Kortbi Martinez, et al. · Springer eBooks · 8
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How to implement EU data protection regulation for R&D in biometrics
2018 · Raul Sanchez-Reillo, Ines Ortega-Fernandez, et al. · Computer Standards & Interfaces · 7
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Hexanonymity: a scalable geo-positioned data clustering algorithm for anonymisation purposes
2023 · Javier Rodriguez-Viñas, Ines Ortega-Fernandez, et al. · IEEE European Symposium on Security and Privacy Workshops (EuroS&PW) · 6
Detecting Anomalies in Industrial Control Systems with LSTM Neural Networks and UEBA
2023 · Camilo Piñón-Blanco, Fabián Otero-Vázquez, et al. · 4
Toward Human-Centered Explainability: Natural Language Explanations for Anomaly Detection
2026 · Héctor Padín-Torrente, Victor Carneiro-Diaz, et al. · Information Systems Frontiers · 2
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Enhancing Privacy in Federated Learning: A Practical Assessment of Combined PETs in a Cross-Silo Setting
2024 · Jaime Loureiro-Acuña, Xavier Martínez-Luaña, et al. · ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec) · 2
neuralGAM: An R Package for Fitting Generalized Additive Neural Networks
2026 · Ines Ortega-Fernandez, Marta Sestelo · The R Journal · 1
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Correction to: Explainable generalized additive neural networks with independent neural network training
2024 · Ines Ortega-Fernandez, Marta Sestelo, et al. · Statistics and Computing · 1
How to implement EU data protection regulation for R&D on personal data
2017 · Raul Sanchez-Reillo, Ines Ortega-Fernandez, et al. · IEEE International Carnahan Conference on Security Technology (ICCST) · 1
Anytime-valid detection of LLM weight exfiltration
2026 · Ortega-Fernandez, Ines, Kowalczyk, Mateusz, et al. · arXiv (Cornell University)
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Data Management and I/O Provisioning Across Cloud-Edge Continuum for High-performance Computational Data Pipelines
2026 · Kryza, Bartosz, Słota, Renata, et al. · Zenodo (CERN European Organization for Nuclear Research)
Data Management and I/O Provisioning Across Cloud-Edge Continuum for High-Performance Computational Data Pipelines
2026 · Bartosz Kryza, Renata Słota, et al. · Lecture notes in computer science
The Future of Law Enforcement: How PRESERVE's AI and Big Data Solutions Benefit Public Safety
2025 · Freideriki Makri, Sotirios Spantideas, et al. · International Conference in Electronic Engineering & Information Technology (EEITE)
neuralGAM: Interpretable Neural Network Based on Generalized Additive Models
2023 · Ines Ortega-Fernandez, Marta Sestelo
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Works count: 21
Citation count: 272
H-index: 6
I10-index: 4
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