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Synthetic flow-based cryptomining attack generation through Generative Adversarial Networks

Scientific reports, 2022-02, Vol.12 (1), p.2091-2091, Article 2091

2022

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B5GEMINI: AI-Driven Network Digital Twin

Sensors (Basel, Switzerland), 2022-05, Vol.22 (11), p.4106

2022

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Transformers for Multi-Horizon Forecasting in an Industry 4.0 Use Case

Sensors (Basel, Switzerland), 2023-03, Vol.23 (7), p.3516

2023

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Chlorophyll soft-sensor based on machine learning models for algal bloom predictions

Scientific reports, 2022-08, Vol.12 (1), p.13529-13529, Article 13529

2022

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Detection of encrypted cryptomining malware connections with machine and deep learning

IEEE access, 2020-01, Vol.8, p.1-1

2020

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Providing Heterogeneous Signaling and User Traffic for 5G Core Network Functional Testing

IEEE access, 2023, Vol.11, p.2968-2980

2023

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A Machine-Learning-Based Cyberattack Detector for a Cloud-Based SDN Controller

Applied sciences, 2023-04, Vol.13 (8), p.4914

2023

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Scalable Prediction of Service-Level Events in Datacenter Infrastructure Using Deep Neural Networks

IEEE access, 2019, Vol.7, p.179779-179798

2019

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Dynamics of Fourier Modes in Torus Generative Adversarial Networks

Mathematics (Basel), 2021-02, Vol.9 (4), p.325

2021

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Integration of Machine Learning-Based Attack Detectors into Defensive Exercises of a 5G Cyber Range

Applied sciences, 2022-10, Vol.12 (20), p.10349

2022

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Can machine learning aid in delivering new use cases and scenarios in 5G?

IEEE/IFIP Network Operations and Management Symposium, 2016, p.1279-1284

2016

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Data Augmentation techniques in time series domain: a survey and taxonomy

Neural computing & applications, 2023-05, Vol.35 (14), p.10123-10145

2023

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A methodological framework for optimizing the energy consumption of deep neural networks: a case study of a cyber threat detector

Neural computing & applications, 2024-06, Vol.36 (17), p.10297-10338

2024

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Improving the quality of generative models through Smirnov transformation

Information sciences, 2022-09, Vol.609, p.1539-1566

2022

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Anticipatory analysis of AGV trajectory in a 5G network using machine learning

Journal of intelligent manufacturing, 2024-04, Vol.35 (4), p.1541-1569

2024

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Regularized greedy column subset selection

Information sciences, 2019-06, Vol.486, p.393-418

2019

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TRANSFERENCIA DE OXÍGENO FOTOESTIMULADA CON COMPLEJOS DE MO (DIOXO) ANCLADOS EN TIO2

Revista de la Academia colombiana de ciencias exactas, físicas y naturales, 2023-12, Vol.36 (139), p.279-286

Paez Mozo, Edgar Alberto

2023

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Deep learning methods for multi-horizon long-term forecasting of Harmful Algal Blooms

Knowledge-based systems, 2024-10, Vol.301, p.112279, Article 112279

2024

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Using N-BEATS ensembles to predict automated guided vehicle deviation

Applied intelligence (Dordrecht, Netherlands), 2023-11, Vol.53 (21), p.26139-26204

2023

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A distributed and quiescent max-min fair algorithm for network congestion control

Expert systems with applications, 2018-01, Vol.91, p.492-512

2018

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Visible light production of superoxide anion with MCarboxyphenylporphyrins (M=H, Fe, Co, Ni, Cu, and Zn) free and anchored on TiO2: EPR characterization

Journal of molecular catalysis. A, Chemical, 2011-04, Vol.339 (1-2), p.79-85

2011

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B5GEMINI: Digital Twin Network for 5G and Beyond

NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium, 2022, p.1-6

2022

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Iterative column subset selection

Knowledge and information systems, 2018, Vol.54 (1), p.65-94

2018

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Design of an AI-driven Network Digital Twin for advanced 5G-6G network management

NOMS 2024-2024 IEEE Network Operations and Management Symposium, 2024, p.1-7

2024

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Probabilistic Leverage Scores for Parallelized Unsupervised Feature Selection

Advances in Computational Intelligence, p.722-733

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Synthetic flow-based cryptomining attack generation through Generative Adversarial Networks

B5GEMINI: AI-Driven Network Digital Twin

Transformers for Multi-Horizon Forecasting in an Industry 4.0 Use Case

Chlorophyll soft-sensor based on machine learning models for algal bloom predictions

Detection of encrypted cryptomining malware connections with machine and deep learning

Providing Heterogeneous Signaling and User Traffic for 5G Core Network Functional Testing

A Machine-Learning-Based Cyberattack Detector for a Cloud-Based SDN Controller

Scalable Prediction of Service-Level Events in Datacenter Infrastructure Using Deep Neural Networks

Dynamics of Fourier Modes in Torus Generative Adversarial Networks

Integration of Machine Learning-Based Attack Detectors into Defensive Exercises of a 5G Cyber Range

Can machine learning aid in delivering new use cases and scenarios in 5G?

Data Augmentation techniques in time series domain: a survey and taxonomy

A methodological framework for optimizing the energy consumption of deep neural networks: a case study of a cyber threat detector

Improving the quality of generative models through Smirnov transformation

Anticipatory analysis of AGV trajectory in a 5G network using machine learning

Regularized greedy column subset selection

TRANSFERENCIA DE OXÍGENO FOTOESTIMULADA CON COMPLEJOS DE MO (DIOXO) ANCLADOS EN TIO2

Deep learning methods for multi-horizon long-term forecasting of Harmful Algal Blooms

Using N-BEATS ensembles to predict automated guided vehicle deviation

A distributed and quiescent max-min fair algorithm for network congestion control

Visible light production of superoxide anion with MCarboxyphenylporphyrins (M=H, Fe, Co, Ni, Cu, and Zn) free and anchored on TiO2: EPR characterization

B5GEMINI: Digital Twin Network for 5G and Beyond

Iterative column subset selection

Design of an AI-driven Network Digital Twin for advanced 5G-6G network management

Probabilistic Leverage Scores for Parallelized Unsupervised Feature Selection

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