Baldomero Imbernón

Universidad Católica San Antonio de Murcia — Spain

Computer Science · Physical Sciences

9h-index313citations42works1.52yr avg
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Research Topics

Computational Drug Discovery Methods(18), Protein Structure and Dynamics(6), Innovative Microfluidic and Catalytic Techniques Innovation(5), Cloud Computing and Resource Management(4), Advanced Clustering Algorithms Research(4)

Publications42 total

Saffe: Multimodal Model Composition with Semantic-Alignment Fusion of Frozen Encoders
The Journal of Supercomputing·2025Open Access
Performance Impact of Containerized METADOCK 2 on Heterogeneous Platforms
arXiv (Cornell University)·2025Open Access
Segmentation Techniques Applied to CNNs for Cervical Cancer Classification
IEEE Access·2025· 1 citedOpen Access
Discovery of novel acetylcholinesterase inhibitors through AI-powered structure prediction and high-performance computing-enhanced virtual screening
RSC Advances·2025· 5 citedOpen Access
Author response for "Discovery of novel acetylcholinesterase inhibitors through AI-powered structure prediction and high-performance computing-enhanced virtual screening"
2024
Diagnosis of Cervical Cancer Using a Deep Learning Explainable Fusion Model
Lecture notes in computer science·2024· 3 cited
ISOMORPH: an efficient application on GPU for detecting graph isomorphism
Engineering Computations·2023Open Access
Correction: Insecticide discovery by drug repurposing: new synergistic inhibitors against <i>Periplaneta americana</i>
New Journal of Chemistry·2023Open Access
Insecticide discovery by drug repurposing: new synergistic inhibitors against<i>Periplaneta americana</i>
New Journal of Chemistry·2023· 1 citedOpen Access
Using remote GPU virtualization techniques to enhance edge computing devices
Future Generation Computer Systems·2022· 5 citedOpen Access
Using Remote Gpu Virtualization Techniques to Enhance Edge Computing Devices
SSRN Electronic Journal·2022Open Access
Evaluation of Clustering Algorithms on HPC Platforms
Mathematics·2021· 3 citedOpen Access
Evaluation of Clustering Algorithms on GPU-Based Edge Computing Platforms
Sensors·2020· 14 citedOpen Access
QN-Docking: An innovative molecular docking methodology based on Q-Networks
Applied Soft Computing·2020· 16 citedOpen Access
Performance evaluation of edge-computing platforms for the prediction of low temperatures in agriculture using deep learning
The Journal of Supercomputing·2020· 101 citedOpen Access
METADOCK 2: a high-throughput parallel metaheuristic scheme for molecular docking
Bioinformatics·2020· 23 citedOpen Access
High-throughput fuzzy clustering on heterogeneous architectures
Future Generation Computer Systems·2020· 6 citedOpen Access
Performance Evaluation of Clustering Algorithms on GPUs
Dialnet (Universidad de la Rioja)·2020· 1 cited
Maximizing resource usage in multifold molecular dynamics with rCUDA
The International Journal of High Performance Computing Applications·2019· 1 citedOpen Access
HYPERDOCK: Improving virtual screening through parallel hyperheuristics
The International Journal of High Performance Computing Applications·2019· 3 citedOpen Access
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Frequent Co-authors

José M. Cecilia(32), Horacio Pérez‐Sánchez(15), Antonio Llanes(7), Andrés Bueno-Crespo(7), José P. Cerón‐Carrasco(7), Domingo Giménez(6), Juan Morales-García(6), José Luis Abellán(5), Javier Prades(5), Federico Silla(5), Raquel Martínez‐España(4), Juan‐Carlos Cano(4), Beatriz Chafer-Dolz(4), Estrella Núñez‐Delicado(4), Víctor Casaña-Giner(4), Antonio Serrano(3), José M. Garcı́a(3), Juan M. Cebrián(3), J. Soto(3), José-Matías Cutillas-Lozano(3)