Beatriz Otero

According to our database, Beatriz Otero authored at least 38 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Differential Privacy protection-based federated deep learning framework to fog-embedded architectures.

Norma Gutiérrez, Beatriz Otero, Eva Rodríguez, Gladys Utrera, Sergi Mus, Ramon Canal

Eng. Appl. Artif. Intell., 2024

Security and RAS in the Computing Continuum.

Marti Alonso, David Andreu, Ramon Canal, Stefano Di Carlo, Odysseas Chatzopoulos, Cristiano Pegoraro Chenet, Juanjo Costa, Andreu Girones, Dimitris Gizopoulos, George Papadimitriou, Enric Morancho, Beatriz Otero, Alessandro Savino

CoRR, 2024

Hypervisor Extension for a RISC-V Processor.

Jaume Gauchola, Juan José Costa, Enric Morancho, Ramon Canal, Xavier Carril, Max Doblas, Beatriz Otero, Alex Pajuelo, Eva Rodríguez, Javier Salamero, Javier Verdú

CoRR, 2024

High-Resolution Image Generation Using Artificial Intelligence and Diffusion Modelling.

Amanda Scoles, Giulia Sionis, Beatriz Otero, Gladys Utrera

Proceedings of the 32nd Euromicro International Conference on Parallel, 2024

Special Session: Security and RAS in the Computing Continuum.

Marti Alonso, David Andreu, Ramon Canal, Stefano Di Carlo, Odysseas Chatzopoulos, Cristiano Pegoraro Chenet, Juanjo Costa, Andreu Girones, Dimitris Gizopoulos, George Papadimitriou, Enric Morancho, Beatriz Otero, Alessandro Savino

Proceedings of the IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, 2024

2023

Deep-Learning Based Detection for Cyber-Attacks in IoT Networks: A Distributed Attack Detection Framework.

Olivia Jullian, Beatriz Otero, Eva Rodríguez, Norma Gutiérrez, Héctor Antona, Ramon Canal

J. Netw. Syst. Manag., April, 2023

A Survey of Machine and Deep Learning Methods for Privacy Protection in the Internet of Things.

Eva Rodríguez, Beatriz Otero, Ramon Canal

Sensors, February, 2023

Vitamin-V: Virtual Environment and Tool-boxing for Trustworthy Development of RISC-V based Cloud Services.

Aggelos Arelakis, José-María Arnau, Josep Lluis Berral, Aaron Call, Ramon Canal, Stefano Di Carlo, Juan José Costa, Dimitris Gizopoulos, Vasileios Karakostas, Francesco Lubrano, Konstantinos Nikas, Yiannis Nikolakopoulos, Beatriz Otero, George Papadimitriou, Ioannis Papaefstathiou, Dionisios N. Pnevmatikatos, Daniel Raho, Alvise Rigo, Eva Rodríguez, Alessandro Savino, Alberto Scionti, Nikolaos Tampouratzis, Antonio J. Torregrosa

CoRR, 2023

Exploring Image Transformations with Diffusion Models: A Survey of Applications and Implementation Code.

Silvia Arellano, Beatriz Otero, Rubén Tous

Proceedings of the Machine Learning, Optimization, and Data Science, 2023

A 3D Terrain Generator: Enhancing Robotics Simulations with GANs.

Silvia Arellano, Beatriz Otero, Tomasz Piotr Kucner, Ramon Canal

Proceedings of the Machine Learning, Optimization, and Data Science, 2023

Validation, Verification, and Testing (VVT) of future RISC-V powered cloud infrastructures: the Vitamin-V Horizon Europe Project perspective.

Marti Alonso, David Andreu, Ramon Canal, Stefano Di Carlo, Cristiano Pegoraro Chenet, Juanjo Costa, Andreu Girones, Dimitris Gizopoulos, Vasileios Karakostas, Beatriz Otero, George Papadimitriou, Eva Rodríguez, Alessandro Savino

Proceedings of the IEEE European Test Symposium, 2023

VITAMIN-V: Virtual Environment and Tool-Boxing for Trustworthy Development of RISC-V Based Cloud Services.

Ramon Canal, Cristiano Pegoraro Chenet, Aggelos Arelakis, José-María Arnau, Josep Lluís Berral, Aaron Call, Stefano Di Carlo, Juan José Costa, Dimitris Gizopoulos, Vasileios Karakostas, Francesco Lubrano, Konstantinos Nikas, Yiannis Nikolakopoulos, Beatriz Otero, George Papadimitriou, Ioannis Papaefstathiou, Dionisios N. Pnevmatikatos, Daniel Raho, Alvise Rigo, Eva Rodríguez, Alessandro Savino, Alberto Scionti, Nikolaos Tampouratzis, Alex Torregrosa

Proceedings of the 26th Euromicro Conference on Digital System Design, 2023

2022

Small-layered Feed-Forward and Convolutional neural networks for efficient P wave earthquake detection.

Sergi Mus León, Beatriz Otero Calviño, Leonardo Alvarado Vivas, Ramon Canal Corretger, Otilio Rojas Ulacio

Expert Syst. Appl., November, 2022

Transfer-Learning-Based Intrusion Detection Framework in IoT Networks.

Eva Rodríguez, Pol Valls, Beatriz Otero, Juan José Costa, Javier Verdú, Manuel Alejandro Pajuelo, Ramon Canal

Sensors, 2022

2021

A cost-efficient QoS-aware analytical model of future software content delivery networks.

Beatriz Otero, Eva Rodríguez, Otilio Rojas, Javier Verdú, Juan José Costa, Manuel Alejandro Pajuelo, Ramon Canal

Int. J. Netw. Manag., 2021

A Survey of Deep Learning Techniques for Cybersecurity in Mobile Networks.

Eva Rodríguez, Beatriz Otero, Norma Gutiérrez, Ramon Canal

IEEE Commun. Surv. Tutorials, 2021

Deep Learning Detection of GPS Spoofing.

Olivia Jullian, Beatriz Otero, Mirjana Stojilovic, Juan José Costa, Javier Verdú, Manuel Alejandro Pajuelo

Proceedings of the Machine Learning, Optimization, and Data Science, 2021

Malicious Website Detection Through Deep Learning Algorithms.

Norma Gutiérrez, Beatriz Otero, Eva Rodríguez, Ramon Canal

Proceedings of the Machine Learning, Optimization, and Data Science, 2021

Epicentral Region Estimation Using Convolutional Neural Networks.

Leonel Cruz, Rubén Tous, Beatriz Otero, Leonardo Alvarado, Sergi Mus, Otilio Rojas

Proceedings of the Machine Learning, Optimization, and Data Science, 2021

2020

Alternating direction implicit time integrations for finite difference acoustic wave propagation: Parallelization and convergence.

Beatriz Otero, Otilio Rojas, Ferran Moya, José E. Castillo

CoRR, 2020

Random Forest Parameterization for Earthquake Catalog Generation.

David Llácer, Beatriz Otero, Rubén Tous, Marisol Monterrubio Velasco, José Carlos Carrasco-Jiménez, Otilio Rojas

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

Privacy Preserving Deep Learning Framework in Fog Computing.

Norma Gutiérrez, Eva Rodríguez, Sergi Mus, Beatriz Otero, Ramon Canal

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

2019

Distributed training of deep neural networks with spark: The MareNostrum experience.

Leonel Cruz, Rubén Tous, Beatriz Otero

Pattern Recognit. Lett., 2019

Artificial Neural Networks as Emerging Tools for Earthquake Detection.

Otilio Rojas, Beatriz Otero, Leonardo Alvarado, Sergi Mus, Rubén Tous

Computación y Sistemas, 2019

Long Short-Term Memory Networks for Earthquake Detection in Venezuelan Regions.

Sergi Mus, Norma Gutiérrez, Rubén Tous, Beatriz Otero, Leonel Cruz, David Llácer, Leonardo Alvarado, Otilio Rojas

Proceedings of the Machine Learning, Optimization, and Data Science, 2019

2018

Platform-Agnostic Steal-Time Measurement in a Guest Operating System.

Javier Verdú, Juan José Costa, Beatriz Otero, Eva Rodríguez, Alex Pajuelo, Ramon Canal

CoRR, 2018

Virtualizing the Edge: Needs, Opportunities and Trends.

Eva Marín-Tordera, Xavier Masip-Bruin, Beatriz Otero, Eva Rodríguez

Proceedings of the 6th IEEE International Conference on Future Internet of Things and Cloud, 2018

2017

SURF-based mammalian species identification system.

Beatriz Otero, Eva Rodríguez, Jacint Ventura

Multim. Tools Appl., 2017

A performance analysis of a mimetic finite difference scheme for acoustic wave propagation on GPU platforms.

Beatriz Otero, Jorge Francés, Robert Rodriguez, Otilio Rojas, Freysimar Solano-Feo, J. M. Guevara-Jordan

Concurr. Comput. Pract. Exp., 2017

2016

A new mimetic scheme for the acoustic wave equation.

Freysimar Solano-Feo, J. M. Guevara-Jordan, Otilio Rojas, Beatriz Otero, Robert Rodriguez

J. Comput. Appl. Math., 2016

Compact finite difference modeling of 2-D acoustic wave propagation.

L. J. Córdova, Otilio Rojas, Beatriz Otero, José E. Castillo

J. Comput. Appl. Math., 2016

2015

Multi-GPU and multi-CPU accelerated FDTD scheme for vibroacoustic applications.

Jorge Francés, Beatriz Otero, Sergio Bleda, Sergi Gallego, Cristian Neipp, Augusto Márquez, Augusto Beléndez

Comput. Phys. Commun., 2015

2014

Performance analysis of SSE and AVX instructions in multi-core CPUs and GPU computing on FDTD scheme for solid and fluid vibration problems.

Jorge Francés, Sergio Bleda, Andrés Márquez, Cristian Neipp, Sergi Gallego, Beatriz Otero, Augusto Beléndez

J. Supercomput., 2014

2007

Estrategias de descomposición en dominios para entornos Grid.

Beatriz Otero

PhD thesis, 2007

A Workload Distribution Pattern for Grid Environments.

Beatriz Otero, José M. Cela

Proceedings of the 2007 International Conference on Grid Computing & Applications, 2007

2005

Data Distribution Strategies for Domain Decomposition Applications in Grid Environments.

Beatriz Otero, José M. Cela, Rosa M. Badia, Jesús Labarta

Proceedings of the Distributed and Parallel Computing, 2005

Performance Analysis of Domain Decomposition Applications Using Unbalanced Strategies in Grid Environments.

Beatriz Otero, José M. Cela, Rosa M. Badia, Jesús Labarta

Proceedings of the Grid and Cooperative Computing - GCC 2005, 4th International Conference, Beijing, China, November 30, 2005

2004

A Domain Decomposition Strategy for GRID Environments.

Beatriz Otero, José M. Cela, Rosa M. Badia, Jesús Labarta

Proceedings of the Recent Advances in Parallel Virtual Machine and Message Passing Interface, 2004