Alberto Mozo

发表

ONTIC: D6.6: Progress on Exploitation and Dissemination Plans – Part II

P. Owezarski, Miguel Angel López Peña, Miguel-Angel Monjas Erllorente, 2017 .

A novel P2P and cloud computing hybrid architecture for multimedia streaming with QoS cost functions

Joaquín Salvachúa, Alberto Mozo, Irena Trajkovska, 2010, ACM Multimedia.

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

Alberto Mozo, 'Angel Gonz'alez-Prieto, Edgar Talavera, 2022, 2206.13508.

B5GEMINI: AI-Driven Network Digital Twin

Sandra Gómez Canaval, Mario Sanz Rodrigo, J. I. Moreno, 2022, Sensors.

of encrypted cryptomining malware Detection of encrypted cryptomining malware connections with machine and deep learning

A. Pastor, Alberto Mozo, A. Lioy, 2022 .

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

J. Morón-López, J. M. Ortiz, Alberto Mozo, 2022, Scientific Reports.

2011 IEEE International Symposium on Network Computing and Applications NCA 2011 Table of Contents

Fernando Pedone, Juan-Carlos Cano, Laurent Viennot, 2011 .

Distance-based Node Sampling using Drifting Random Walks pdf

Antonio Fernández, Andrés Sevilla, Alberto Mozo, 2011, ArXiv.

B-Neck: A Distributed and Quiescent Max-Min Fair Algorithm

Antonio Fernández, Alberto Mozo, José Luis López-Presa, 2011, 2011 IEEE 10th International Symposium on Network Computing and Applications.

Testing a Cloud Provider Network for Hybrid P2P and Cloud Streaming Architectures

Joaquín Salvachúa, Pedro Rodríguez, Alberto Mozo, 2011, 2011 IEEE 4th International Conference on Cloud Computing.

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

Sandra Gómez Canaval, Alberto Mozo, Edgar Talavera, 2022, Neural Computing and Applications.

Probabilistic Leverage Scores for Parallelized Unsupervised Feature Selection

Alberto Mozo, Sandra Gómez Canaval, Bruno Ordozgoiti Rubio, 2017, IWANN.

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

A. Pastor, Alberto Mozo, L. Gifre, 2023, Applied Sciences.

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

J. I. Moreno, A. Pastor, Alberto Mozo, 2022, Applied Sciences.

Improving the quality of generative models through Smirnov transformation

Sandra Gómez Canaval, Alberto Mozo, Edgar Talavera, 2021, Inf. Sci..

Synthetic flow-based cryptomining attack generation through Generative Adversarial Networks pdf

Alberto Mozo, Edgar Talavera, Sandra Gómez Canaval, 2021, Scientific Reports.

Dynamics of Fourier Modes in Torus Generative Adversarial Networks

Alberto Mozo, Edgar Talavera, Sandra Gómez-Canaval, 2021, Mathematics.

Detection of Encrypted Cryptomining Malware Connections With Machine and Deep Learning

Alberto Mozo, Antonio Lioy, Sandra Gómez-Canaval, 2020, IEEE Access.

The Mouseworld, a security traffic analysis lab based on NFV/SDN

Alberto Mozo, Diego R. López, Antonio Pastor, 2018, ARES.

A Digital Twin Network for Security Training in 5G Industrial Environments

D. López, A. Pastor, Alberto Mozo, 2021, 2021 IEEE 1st International Conference on Digital Twins and Parallel Intelligence (DTPI).

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

Alberto Mozo, Sandra Gómez-Canaval, Bruno Ordozgoiti, 2018, PloS one.

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

Sandra Gómez Canaval, Alberto Mozo, Amit Karamchandani, 2023, Sensors.

A survey of feature selection in Internet traffic characterization

Alberto Mozo, Bo Zhu, Alberto Mozo, 2014 .

Massively Parallel Unsupervised Feature Selection on Spark

Alberto Mozo, Sandra Gómez Canaval, Bruno Ordozgoiti Rubio, 2015, ADBIS.

CLUS: Parallel Subspace Clustering Algorithm on Spark

Bo Zhu, Alberto Mozo, Alexandru Mara, 2015, ADBIS.

A Digital Twin for the 5G Era: the SPIDER Cyber Range

Antonio Álvarez Romero, C. Xenakis, R. Bruschi, 2022, 2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM).

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

Mario Sanz Rodrigo, J. I. Moreno, D. López, 2023, IEEE Access.

Forecasting Automated Guided Vehicle Malfunctioning with Deep Learning in a 5G-Based Industry 4.0 Scenario

A. Pastor, Alberto Mozo, Stanislav Vakaruk, 2021, IEEE Communications Magazine.

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

Alberto Mozo, Stanislav Vakaruk, J. Sierra-García, 2023, Journal of Intelligent Manufacturing.

Node sampling using Random Centrifugal Walks

Antonio Fernández, Andrés Sevilla, Alberto Mozo, 2011, J. Comput. Sci..