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Forecasting short-term data center network traffic load with convolutional neural networks

PloS one, 2018-02, Vol.13 (2), p.e0191939-e0191939

2018

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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, Vol.8, p.158036-158055

2020

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

IEEE access, 2023-01, Vol.11, p.1-1

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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Improving the quality of generative models through Smirnov transformation

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

2022

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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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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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Percepciones y actitudes sobre la energía sostenible en alumnos de Educación Secundaria y propuesta de actividades

M+A : Revista Electrónica de Medioambiente, 2017-07, Vol.18 (2), p.79

2017

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Regularized greedy column subset selection

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

2019

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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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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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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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IEEE_Xplore

Iterative column subset selection

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

2018

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CLUS: Parallel Subspace Clustering Algorithm on Spark

New Trends in Databases and Information Systems, p.175-185

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Probabilistic Leverage Scores for Parallelized Unsupervised Feature Selection

Advances in Computational Intelligence, p.722-733

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Scalable tag search in social network applications: Disruptive networking with peer-to-peer systems

Computer communications, 2008, Vol.31 (3), p.423-436

2008

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

IEEE Conferences, 2016, p.1279-1284

2016

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IEEE_Xplore

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Forecasting short-term data center network traffic load with convolutional neural networks

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

Improving the quality of generative models through Smirnov transformation

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

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

Percepciones y actitudes sobre la energía sostenible en alumnos de Educación Secundaria y propuesta de actividades

Regularized greedy column subset selection

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

Using N-BEATS ensembles to predict automated guided vehicle deviation

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

CLUS: Parallel Subspace Clustering Algorithm on Spark

Probabilistic Leverage Scores for Parallelized Unsupervised Feature Selection

Scalable tag search in social network applications: Disruptive networking with peer-to-peer systems

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

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