Alberto Mozo

Orcid: 0000-0001-9743-8604

According to our database1, Alberto Mozo authored at least 52 papers between 2004 and 2024.

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Bibliography

2024
Anticipatory analysis of AGV trajectory in a 5G network using machine learning.
J. Intell. Manuf., April, 2024

A methodological framework for optimizing the energy consumption of deep neural networks: a case study of a cyber threat detector.
Neural Comput. Appl., 2024

Deep learning methods for multi-horizon long-term forecasting of Harmful Algal Blooms.
Knowl. Based Syst., 2024

Design of an AI-driven Network Digital Twin for advanced 5G-6G network management.
Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 2024

2023
Applying Digital Twins to Optical Networks with Cloud-Native SDN Controllers.
IEEE Commun. Mag., December, 2023

Using N-BEATS ensembles to predict automated guided vehicle deviation.
Appl. Intell., November, 2023

Data Augmentation techniques in time series domain: a survey and taxonomy.
Neural Comput. Appl., May, 2023

Transformers for Multi-Horizon Forecasting in an Industry 4.0 Use Case.
Sensors, April, 2023

Providing Heterogeneous Signaling and User Traffic for 5G Core Network Functional Testing.
IEEE Access, 2023

ACROSS: Automated zero-touch cross-layer provisioning framework for 5G and beyond vertical services.
Proceedings of the 2023 Joint European Conference on Networks and Communications & 6G Summit, 2023

2022
B5GEMINI: AI-Driven Network Digital Twin.
Sensors, 2022

Improving the quality of generative models through Smirnov transformation.
Inf. Sci., 2022

Dynamics of Fourier Modes in Torus Generative Adversarial Networks.
CoRR, 2022

A Digital Twin for the 5G Era: the SPIDER Cyber Range.
Proceedings of the 23rd IEEE International Symposium on a World of Wireless, 2022

B5GEMINI: Digital Twin Network for 5G and Beyond.
Proceedings of the 2022 IEEE/IFIP Network Operations and Management Symposium, 2022


2021
Synthetic flow-based cryptomining attack generation through Generative Adversarial Networks.
CoRR, 2021

Forecasting Automated Guided Vehicle Malfunctioning with Deep Learning in a 5G-Based Industry 4.0 Scenario.
IEEE Commun. Mag., 2021

TeraFlow: Secured Autonomic Traffic Management for a Tera of SDN flows.
Proceedings of the Joint European Conference on Networks and Communications & 6G Summit, 2021

A Digital Twin Network for Security Training in 5G Industrial Environments.
Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2021

2020
Detection of Encrypted Cryptomining Malware Connections With Machine and Deep Learning.
IEEE Access, 2020

2019
Regularized greedy column subset selection.
Inf. Sci., 2019

Scalable Prediction of Service-Level Events in Datacenter Infrastructure Using Deep Neural Networks.
IEEE Access, 2019

2018
Iterative column subset selection.
Knowl. Inf. Syst., 2018

A distributed and quiescent max-min fair algorithm for network congestion control.
Expert Syst. Appl., 2018

The Mouseworld, a security traffic analysis lab based on NFV/SDN.
Proceedings of the 13th International Conference on Availability, Reliability and Security, 2018

2017
Probabilistic Leverage Scores for Parallelized Unsupervised Feature Selection.
Proceedings of the Advances in Computational Intelligence, 2017

Deep convolutional neural networks for detecting noisy neighbours in cloud infrastructure.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016
Using Machine Learning to Detect Noisy Neighbors in 5G Networks.
CoRR, 2016

Can machine learning aid in delivering new use cases and scenarios in 5G?
Proceedings of the 2016 IEEE/IFIP Network Operations and Management Symposium, 2016

A Fast Iterative Algorithm for Improved Unsupervised Feature Selection.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

CogNet: A network management architecture featuring cognitive capabilities.
Proceedings of the European Conference on Networks and Communications, 2016

PSCEG: an unbiased parallel subspace clustering algorithm using exact grids.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Parallelized unsupervised feature selection for large-scale network traffic analysis.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Spark2Fires: A New Parallel Approximate Subspace Clustering Algorithm.
Proceedings of the New Trends in Databases and Information Systems, 2016

Feature Ranking and Selection for Big Data Sets.
Proceedings of the New Trends in Databases and Information Systems, 2016

2015
Node sampling using Random Centrifugal Walks.
J. Comput. Sci., 2015

CLUS: Parallel Subspace Clustering Algorithm on Spark.
Proceedings of the New Trends in Databases and Information Systems, 2015

Massively Parallel Unsupervised Feature Selection on Spark.
Proceedings of the New Trends in Databases and Information Systems, 2015

NPEPE: Massive Natural Computing Engine for Optimally Solving NP-complete Problems in Big Data Scenarios.
Proceedings of the New Trends in Databases and Information Systems, 2015

2012
Brief Announcement: Node Sampling Using Centrifugal Random Walks.
Proceedings of the Distributed Computing - 26th International Symposium, 2012

SLBN: A Scalable Max-min Fair Algorithm for Rate-Based Explicit Congestion Control.
Proceedings of the 11th IEEE International Symposium on Network Computing and Applications, 2012

2011
Performance of Scheduling Policies in Adversarial Networks with Non-synchronized Clocks.
Theory Comput. Syst., 2011

Distance-based Node Sampling using Drifting Random Walks
CoRR, 2011

B-neck: a distributed and quiescent max-min fair algorithm.
Proceedings of the 30th Annual ACM Symposium on Principles of Distributed Computing, 2011

Testing a Cloud Provider Network for Hybrid P2P and Cloud Streaming Architectures.
Proceedings of the IEEE International Conference on Cloud Computing, 2011

2010
Biased Selection for Building Small-World Networks.
Proceedings of the Principles of Distributed Systems - 14th International Conference, 2010

A novel P2P and cloud computing hybrid architecture for multimedia streaming with QoS cost functions.
Proceedings of the 18th International Conference on Multimedia 2010, 2010

2008
Scalable tag search in social network applications.
Comput. Commun., 2008

2007
Performance of scheduling policies in adversarial networks with non synchronized clocks.
Proceedings of the 12th IEEE Symposium on Computers and Communications (ISCC 2007), 2007

2006
Tag Indexed DHT for Scalable Search Infrastructure in Social NetworkApplications.
Proceedings of the Sixth IEEE International Conference on Peer-to-Peer Computing (P2P 2006), 2006

2004
Contribución a la distribución de contenidos multimedia sobre redes peer-to-peer.
PhD thesis, 2004


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