A Domain Decomposition Strategy for GRID Environments. - Beatriz Otero; José M. Cela; Rosa M. Badia; Jesús Labarta (PVM/MPI, 2004)

Performance Analysis of Domain Decomposition Applications Using Unbalanced Strategies in Grid Environments. - Beatriz Otero; José M. Cela; Rosa M. Badia; Jesús Labarta (GCC, 2005)

Data Distribution Strategies for Domain Decomposition Applications in Grid Environments. - Beatriz Otero; José M. Cela; Rosa M. Badia; Jesús Labarta (ICA3PP, 2005)

A Workload Distribution Pattern for Grid Environments. - Beatriz Otero; José M. Cela (GCA, 2007)

Estrategias de descomposición en dominios para entornos Grid. - Beatriz Otero (2007)

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)

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)

Compact finite difference modeling of 2-D acoustic wave propagation. - L. J. Córdova; Otilio Rojas; Beatriz Otero; José E. Castillo 001 (J. Comput. Appl. Math., 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)

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)

SURF-based mammalian species identification system. - Beatriz Otero; Eva Rodríguez; Jacint Ventura (Multim. Tools Appl., 2017)

Virtualizing the Edge: Needs, Opportunities and Trends. - Eva Marín-Tordera; Xavier Masip-Bruin; Beatriz Otero; Eva Rodríguez (FiCloud, 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)

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 (LOD, 2019)

Artificial Neural Networks as Emerging Tools for Earthquake Detection. - Otilio Rojas; Beatriz Otero; Leonardo Alvarado; Sergi Mus; Rubén Tous (Computación y Sistemas, 2019)

Distributed training of deep neural networks with spark: The MareNostrum experience. - Leonel Cruz; Rubén Tous; Beatriz Otero (Pattern Recognit. Lett., 2019)

Privacy Preserving Deep Learning Framework in Fog Computing. - Norma Gutiérrez; Eva Rodríguez; Sergi Mus; Beatriz Otero; Ramon Canal (LOD (1), 2020)

Random Forest Parameterization for Earthquake Catalog Generation. - David Llácer; Beatriz Otero; Rubén Tous; Marisol Monterrubio Velasco; José Carlos Carrasco-Jiménez; Otilio Rojas (LOD (1), 2020)

Alternating direction implicit time integrations for finite difference acoustic wave propagation: Parallelization and convergence. - Beatriz Otero; Otilio Rojas; Ferran Moya; José E. Castillo 001 (CoRR, 2020)

Epicentral Region Estimation Using Convolutional Neural Networks. - Leonel Cruz; Rubén Tous; Beatriz Otero; Leonardo Alvarado; Sergi Mus; Otilio Rojas (LOD, 2021)

Malicious Website Detection Through Deep Learning Algorithms. - Norma Gutiérrez; Beatriz Otero; Eva Rodríguez; Ramon Canal (LOD, 2021)

Deep Learning Detection of GPS Spoofing. - Olivia Jullian; Beatriz Otero; Mirjana Stojilovic; Juan José Costa; Javier Verdú; Manuel Alejandro Pajuelo (LOD, 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)

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)

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)

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., 2022)

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; et al. (DSD, 2023)

Validation, Verification, and Testing (VVT) of future RISC-V powered cloud infrastructures: the Vitamin-V Horizon Europe Project perspective. - Marti Alonso; David Andreu 003; Ramon Canal; Stefano Di Carlo; Cristiano Pegoraro Chenet; Juanjo Costa; Andreu Girones; Dimitris Gizopoulos; Vasileios Karakostas; Beatriz Otero; George Papadimitriou 001; Eva Rodríguez; et al. (ETS, 2023)

A 3D Terrain Generator: Enhancing Robotics Simulations with GANs. - Silvia Arellano; Beatriz Otero; Tomasz Piotr Kucner; Ramon Canal (LOD (1), 2023)

Exploring Image Transformations with Diffusion Models: A Survey of Applications and Implementation Code. - Silvia Arellano; Beatriz Otero; Rubén Tous (LOD (2), 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; et al. (CoRR, 2023)

A Survey of Machine and Deep Learning Methods for Privacy Protection in the Internet of Things. - Eva Rodríguez; Beatriz Otero; Ramon Canal (Sensors, 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., 2023)

Special Session: Security and RAS in the Computing Continuum. - Marti Alonso; David Andreu 003; Ramon Canal; Stefano Di Carlo; Odysseas Chatzopoulos; Cristiano Pegoraro Chenet; Juanjo Costa; Andreu Girones; Dimitris Gizopoulos; George Papadimitriou 001; Enric Morancho; Beatriz Otero; et al. (DFT, 2024)

WIP: Building an Education Ecosystem for Next Generation Microelectronics Experts in Green and Circular Economy with Digitally-Supported Teaching Methods for Sustainable Chips and Applications (EU Project GreenChips-EDU). - Klaus Hofmann; Ferdinand Keil; David Riehl; Alicja Michalowska-Forsyth; Nikolaus Czepl; Sarah Woywod; Dominik Zupan; Mario R. Casu; Carlo Ricciardi; Massimo Violante; Mariagrazia Graziano; Yuri Ardesi; et al. (FIE, 2024)

High-Resolution Image Generation Using Artificial Intelligence and Diffusion Modelling. - Amanda Scoles; Giulia Sionis; Beatriz Otero; Gladys Utrera (PDP, 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)

Security and RAS in the Computing Continuum. - Marti Alonso; David Andreu 003; Ramon Canal; Stefano Di Carlo; Odysseas Chatzopoulos; Cristiano Pegoraro Chenet; Juanjo Costa; Andreu Girones; Dimitris Gizopoulos; George Papadimitriou 001; Enric Morancho; Beatriz Otero; et al. (CoRR, 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)