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Datos personales Todos / Ninguno
Correo Electrónico
Artículos Todos / Ninguno
SkewEngine: enhancing performance of intensive calculations on regular meshes
Data augmentation for Human Activity Recognition with Generative Adversarial Networks
3D Human Pose Estimation from multi-view thermal vision sensors
THPoseLite, a Lightweight Neural Network for Detecting Pose in Thermal Images
Improving drug discovery through parallelism
A multi-objective approach to identify parameters of compartmental epidemiological models—Application to Ebola Virus Disease epidemics
A two-layer mono-objective algorithm based on guided optimization to reduce the computational cost in virtual screening
Optical characterization of heliostat facets based on Computational Optimization
Black-box and surrogate optimization for tuning spiking neural models of striatum plasticity
Accelerating neural network architecture search using multi-GPU high-performance computing
On the limits of Conditional Generative Adversarial Neural Networks to reconstruct the identification of inhabitants from IoT low-resolution thermal sensors
Using a Multi-GPU node to accelerate the training of Pix2Pix neural networks
MultiPharm-DT: A Multi-Objective Decision Tool for Ligand-Based Virtual Screening Problems
A Comparative Study of Stochastic Optimizers for Fitting Neuron Models. Application to the Cerebellar Granule Cell
DOLARS, a Distributed On-Line Activity Recognition System by Means of Heterogeneous Sensors in Real-Life Deployments—A Case Study in the Smart Lab of The University of Almería
Improving the performance of a preference-based multi-objective algorithm to optimize food treatment processes
A simple and effective heuristic control system for the heliostat field of solar power tower plants
Optimizing Electrostatic Similarity for Virtual Screening: A New Methodology
Is high performance computing a requirement for novel drug discovery and how will this impact academic efforts?
Preference-based multi-objectivization applied to decision support for High-Pressure Thermal processes in food treatment
Design of a parallel genetic algorithm for continuous and pattern-free heliostat field optimization
High-performance computing for the optimization of high-pressure thermal treatments in food industry
OptiPharm: An evolutionary algorithm to compare shape similarity
The probabilistic customer's choice rule with a threshold attraction value: Effect on the location of competitive facilities in the plane
Hector, a new methodology for continuous and pattern-free heliostat field optimization
A two-layered solution for automatic heliostat aiming
Modelling and optimization applied to the design of fast hydrodynamic focusing microfluidic mixer for protein folding
On building-up a yearly characterization of a heliostat field: A new methodology and an application example
Optimizing the heliostat field layout by applying stochastic population-based algorithms
A new methodology for building-up a robust model for heliostat field flux characterization
A planar single-facility competitive location and design problem under the multi-deterministic choice rule
FEMOEA: a fast and efficient multi-objective evolutionary algorithm
A parallel Teaching–Learning-Based Optimization procedure for automatic heliostat aiming
Review of software for optical analyzing and optimizing heliostat fields
High performance computing for the heliostat field layout evaluation
A New Methodology for Building-Up a Robust Model for Heliostat Field Flux Characterization
A parallelized Lagrangean relaxation approach for the discrete ordered median problem
Approximating the Pareto-front of a planar bi-objective competitive facility location and design problem
On heuristic bi-criterion methods for semi-obnoxious facility location
Parallelization of a non-linear multi-objective optimization algorithm: Application to a location problem
Parallel Optimization Algorithm for Competitive Facility Location
A Triobjective Model for Locating a Public Semiobnoxious Facility in the Plane
An efficient approach for solving the HP protein folding problem based on UEGO
An approach for solving competitive location problems with variable demand using multicore systems
A GPU implementation of a hybrid evolutionary algorithm: GPuEGO
Solving a leader–follower facility problem via parallel evolutionary approaches
Multi-objective single agent stochastic search in non-dominated sorting genetic algorithm
Optimizing building comfort temperature regulation via model predictive control
Two- and three-dimensional modeling and optimization applied to the design of a fast hydrodynamic focusing microfluidic mixer for protein folding
Multimodal Evolutionary Algorithm for Multidimensional Scaling with City-Block Distances
Multimodal evolutionary algorithm for multidimensional scaling with city-block distances
Fixed or variable demand? Does it matter when locating a facility?
Parallel algorithms for continuous multifacility competitive location problems
Finding multiple global optima for unconstrained discrete location problems
Parallel evolutionary algorithms based on shared memory programming approaches
Heuristics for the facility location and design (1|1)-centroid problem on the plane
A robust and efficient algorithm for planar competitive location problems
Solving the multiple competitive facilities location and design problem on the plane
Sensitivity analysis of a continuous multifacility competitive location and design problem
A population global optimization algorithm to solve the image alignment problem in electron crystallography
Hardware description of multi-layer perceptrons with different abstraction levels
Tuning the anionic cyclization-protonation of N-benzyl(diphenyl)-phosphinamides. Highly efficient synthesis of tetrahydrobenzo-1-aza-2 lambda(5)-phospholes containing a 1,3-cyclohexadiene system
Image registration in electron microscopy. A stochastic optimization approach
A VHDL library to analyse fault tolerant techniques
UEGO, an abstract clustering technique for multimodal global optimization
Reliability and Performance of UEGO, a Clustering-based global Optimizer
On success rates for controlled random search
Parallelization of an algorithm for the automatic detection of deformable objects
A parallelized sequential random search global optimization algorithm
Libros, capítulos, tesis Todos / Ninguno
Epilepsy Seizure Detection Using Low-Cost IoT Devices and a Federated Machine Learning Algorithm
Edge IoT System for Wearable Devices: Real-Time Data Processing, Inference, and Training for Activity Monitoring and Health Evaluation
On Optimizing the Structure of Neural Networks Through a Compact Codification of Their Architecture
On the Design of a New Stochastic Meta-Heuristic for Derivative-Free Optimization
Virtual Screening Based on Electrostatic Similarity and Flexible Ligands
Increasing the Accuracy of Optipharm’s Virtual Screening Predictions by Implementing Molecular Flexibility
Huff-like stackelberg location problems on the plane
Approximating the Pareto-front of Continuous Bi-objective Problems: Application to a Competitive Facility Location Problem
Approximating the pareto-front of continuous bi-objective problems: Application to a competitive facility location problem
FPGA implementation of a fully and partially connected mlp application to automatic speech recognition
Deformable shapes detection by stochastic optimization
PSA_CRS: A parallel stochastic algorithm for global optimization
Conferencias Todos / Ninguno
ThermalYOLO: A Person Detection Neural Network in Thermal Images for Smart Environments
TEAMWORK USING COLAB NOTEBOOKS IN THE CLOUD
LOW-COST CHIP PROGRAMMING FOR TEACHING AND LEARNING DIGITAL SKILLS
ARTIFICIAL INTELLIGENCE APPLIED TO TEACHING
On the optical characterization of heliostats through computational optimization
Detection of Unconsciousness in Falls Using Thermal Vision Sensors
Estimating Frontal Body Landmarks from Thermal Sensors Using Residual Neural Networks
Deployment of an iot platform for activity recognition at the ual’s smart home
A Continuous Competitive Facility Location and Design Problem for Firm Expansion
ON SIMULATING AN ARM PROCESSOR FOR TEACHING COMPUTER STRUCTURE
Control and optimal management of a heliostat field for solar power tower systems
Predicting the spread of epidemiological diseases by using a multi-objective algorithm
Multi-objective evolutionary algorithm for evaluation of shape and electrostatic similarity
A lightweight heliostat field post-optimizer
EDUCATIONAL STRATEGIES BASED ON LOW-COST PLATFORMS IN THE AREA OF COMPUTER ENGINEERING
IMPROVING STUDENTS MOTIVATION FOR THE COMPUTER ARCHITECTURE
Parallel shared-memory multi-objective stochastic search for competitive facility location
TEACHING COMPUTER NETWORKS IN HIGHER EDUCATION: AN EXPERIENCE USING A LESSON PLANNING
A two-level evolutionary algorithm for solving the facility location and design (1|1)-centroid problem on the plane with variable demand
Competitive location: New models and methods and new trends
Solving a continuous (1|1)-centroid problem with endogenous demand: High performance approaches
CLIL LESSON PLANNING IN HIGHER EDUCATION: AN EXPERIENCE IN COMPUTER ENGINEERING COURSES
DESIGN OF CLIL ACTIVITIES FOR COMPUTER ENGINEERING COURSES AT THE UNIVERSITY
Optical Flow Reliability Model Approximated with RBF
Local optimization in global Multi-Objective Optimization Algorithms
Solving the facility location and design (1 | 1)-centroid problem via parallel algorithms
APPROACHES TO LEARN COMPUTER ENGINEERING INTEGRATING ENGLISH AS FOREIGN LANGUAGE
Investigation of Parallel Particle Swarm Optimization algorithm with reduction of the search area
Universal global optimization algorithm on shared memory multiprocessors
Parallel algorithms for continuous competitive location problems
GASUB: Finding global optima to discrete location problems by a genetic-like algorithm
A global optimization approach to image translational alignment in electron microscopy
FPGA implementation of multi-layer perceptrons for speech recognition
Two approaches for parallelizing the UEGO algorithm
Deformable shapes detection by stochastic optimization
Informes y otros Todos / Ninguno
Optimizing Electrostatic Similarity for Virtual Screening: A New Methodology
Optimizing Electrostatic Similarity for Virtual Screening: A New Methodology
Optimizing Electrostatic Similarity for Virtual Screening: A New Methodology
Métricas del autor Todos / Ninguno
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