Pilar Martínez Ortigosa

Orcid: 0000-0001-6514-6543

Affiliations:
  • University of Almería, Spain


According to our database1, Pilar Martínez Ortigosa authored at least 74 papers between 1997 and 2024.

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Bibliography

2024
3D Human Pose Estimation from multi-view thermal vision sensors.
Inf. Fusion, April, 2024

2023
THPoseLite, a Lightweight Neural Network for Detecting Pose in Thermal Images.
IEEE Internet Things J., September, 2023

Improving drug discovery through parallelism.
J. Supercomput., June, 2023

A multi-objective approach to identify parameters of compartmental epidemiological models - Application to Ebola Virus Disease epidemics.
Commun. Nonlinear Sci. Numer. Simul., June, 2023

Accelerating neural network architecture search using multi-GPU high-performance computing.
J. Supercomput., May, 2023

An Effective Solution for Drug Discovery Based on the Tangram Meta-Heuristic and Compound Filtering.
Informatica, 2023

Bi-Level Optimization to Enhance Intensity Modulated Radiation Therapy Planning.
CoRR, 2023

ALMERIA: Boosting pairwise molecular contrasts with scalable methods.
CoRR, 2023

Edge IoT System for Wearable Devices: Real-Time Data Processing, Inference, and Training for Activity Monitoring and Health Evaluation.
Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023), 2023

2022
Using a Multi-GPU node to accelerate the training of Pix2Pix neural networks.
J. Supercomput., 2022

MultiPharm-DT: A Multi-Objective Decision Tool for Ligand-Based Virtual Screening Problems.
Informatica, 2022

Black-box and surrogate optimization for tuning spiking neural models of striatum plasticity.
Frontiers Neuroinformatics, 2022

On the limits of Conditional Generative Adversarial Neural Networks to reconstruct the identification of inhabitants from IoT low-resolution thermal sensors.
Expert Syst. Appl., 2022

ThermalYOLO: A Person Detection Neural Network in Thermal Images for Smart Environments.
Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence, 2022

Estimating Frontal Body Landmarks from Thermal Sensors Using Residual Neural Networks.
Proceedings of the Bioinformatics and Biomedical Engineering, 2022

Increasing the Accuracy of Optipharm's Virtual Screening Predictions by Implementing Molecular Flexibility.
Proceedings of the Bioinformatics and Biomedical Engineering, 2022

Epilepsy Seizure Detection Using Low-Cost IoT Devices and a Federated Machine Learning Algorithm.
Proceedings of the Ambient Intelligence - Software and Applications, 2022

Detection of Unconsciousness in Falls Using Thermal Vision Sensors.
Proceedings of the ICR'22 International Conference on Innovations in Computing Research, 2022

Virtual Screening Based on Electrostatic Similarity and Flexible Ligands.
Proceedings of the Computational Science and Its Applications - ICCSA 2022 Workshops, 2022

On the Design of a New Stochastic Meta-Heuristic for Derivative-Free Optimization.
Proceedings of the Computational Science and Its Applications - ICCSA 2022 Workshops, 2022

On Optimizing the Structure of Neural Networks Through a Compact Codification of Their Architecture.
Proceedings of the Metaheuristics - 14th International Conference, 2022

2021
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.
Sensors, 2021

A Comparative Study of Stochastic Optimizers for Fitting Neuron Models. Application to the Cerebellar Granule Cell.
Informatica, 2021

2020
Optimizing Electrostatic Similarity for Virtual Screening: A New Methodology.
Informatica, 2020

Deployment of an IoT Platform for Activity Recognition at the UAL's Smart Home.
Proceedings of the Ambient Intelligence - Software and Applications, 2020

2019
High-performance computing for the optimization of high-pressure thermal treatments in food industry.
J. Supercomput., 2019

Design of a parallel genetic algorithm for continuous and pattern-free heliostat field optimization.
J. Supercomput., 2019

The probabilistic customer's choice rule with a threshold attraction value: Effect on the location of competitive facilities in the plane.
Comput. Oper. Res., 2019

Preference-based multi-objectivization applied to decision support for High-Pressure Thermal processes in food treatment.
Appl. Soft Comput., 2019

A Continuous Competitive Facility Location and Design Problem for Firm Expansion.
Proceedings of the Optimization of Complex Systems: Theory, 2019

2018
Optimizing the Heliostat Field Layout by Applying Stochastic Population-Based Algorithms.
Informatica, 2018

A two-layered solution for automatic heliostat aiming.
Eng. Appl. Artif. Intell., 2018

2017
High performance computing for the heliostat field layout evaluation.
J. Supercomput., 2017

A parallel Teaching-Learning-Based Optimization procedure for automatic heliostat aiming.
J. Supercomput., 2017

FEMOEA: a fast and efficient multi-objective evolutionary algorithm.
Math. Methods Oper. Res., 2017

A planar single-facility competitive location and design problem under the multi-deterministic choice rule.
Comput. Oper. Res., 2017

2016
A parallelized Lagrangean relaxation approach for the discrete ordered median problem.
Ann. Oper. Res., 2016

2015
Approximating the Pareto-front of a planar bi-objective competitive facility location and design problem.
Comput. Oper. Res., 2015

On heuristic bi-criterion methods for semi-obnoxious facility location.
Comput. Optim. Appl., 2015

Parallelization of a non-linear multi-objective optimization algorithm: Application to a location problem.
Appl. Math. Comput., 2015

2014
A GPU implementation of a hybrid evolutionary algorithm: GPuEGO.
J. Supercomput., 2014

Solving a leader-follower facility problem via parallel evolutionary approaches.
J. Supercomput., 2014

An approach for solving competitive location problems with variable demand using multicore systems.
Optim. Lett., 2014

Parallel Shared-Memory Multi-Objective Stochastic Search for Competitive Facility Location.
Proceedings of the Euro-Par 2014: Parallel Processing Workshops, 2014

2013
A two-level evolutionary algorithm for solving the facility location and design (1|1)-centroid problem on the plane with variable demand.
J. Glob. Optim., 2013

Solving a Continuous (1 I 1)-Centroid Problem with Endogenous Demand: High Performance Approaches.
Proceedings of the Eighth International Conference on P2P, 2013

2012
Multimodal Evolutionary Algorithm for Multidimensional Scaling with City-Block Distances.
Informatica, 2012

Approximating the Pareto-front of Continuous Bi-objective Problems: Application to a Competitive Facility Location Problem.
Proceedings of the Management Intelligent Systems - First International Symposium, 2012

2011
Parallel evolutionary algorithms based on shared memory programming approaches.
J. Supercomput., 2011

Solving the facility location and design (1∣1)-centroid problem via parallel algorithms.
J. Supercomput., 2011

Finding multiple global optima for unconstrained discrete location problems.
Optim. Methods Softw., 2011

Parallel algorithms for continuous multifacility competitive location problems.
J. Glob. Optim., 2011

Local optimization in global Multi-Objective Optimization Algorithms.
Proceedings of the Third World Congress on Nature & Biologically Inspired Computing, 2011

Optical Flow Reliability Model Approximated with RBF.
Proceedings of the Advances in Computational Intelligence, 2011

2010
Heuristics for the facility location and design (1|1)-centroid problem on the plane.
Comput. Optim. Appl., 2010

2009
Solving the Multiple Competitive Facilities Location and Design Problem on the Plane.
Evol. Comput., 2009

A robust and efficient algorithm for planar competitive location problems.
Ann. Oper. Res., 2009

Universal Global Optimization Algorithm on Shared Memory Multiprocessors.
Proceedings of the Distributed Computing, 2009

2008
Parallel algorithms for continuous competitive location problems.
Optim. Methods Softw., 2008

2007
GASUB: finding global optima to discrete location problems by a genetic-like algorithm.
J. Glob. Optim., 2007

A population global optimization algorithm to solve the image alignment problem in electron crystallography.
J. Glob. Optim., 2007

2006
Hardware description of multi-layer perceptrons with different abstraction levels.
Microprocess. Microsystems, 2006

2005
Parallelization of an Algorithm for Finding Facility Locations for an Entering Firm Under Delivered Pricing.
Proceedings of the Parallel Computing: Current & Future Issues of High-End Computing, 2005

2004
A global optimization approach to image translational alignment in electron microscopy.
Proceedings of the IEEE International Conference on Systems, 2004

Image Registration in Electron Microscopy. A Stochastic Optimization Approach.
Proceedings of the Image Analysis and Recognition: International Conference, 2004

2003
FPGA Implemenation of Multi-layer Perceptrons for Speech Recognition.
Proceedings of the Field Programmable Logic and Application, 13th International Conference, 2003

A VHDL Library to Analyse Fault Tolerant Techniques.
Proceedings of the Field Programmable Logic and Application, 13th International Conference, 2003

2001
Reliability and Performance of UEGO, a Clustering-based Global Optimizer.
J. Glob. Optim., 2001

On success rates for controlled random search.
J. Glob. Optim., 2001

UEGO, an Abstract Clustering Technique for Multimodal Global Optimization.
J. Heuristics, 2001

Parallelization of an algorithm for the automatic detection of deformable objects.
Acta Cybern., 2001

2000
Deformable Shapes Detection by Stochastic Optimization.
Proceedings of the 2000 International Conference on Image Processing, 2000

1999
A Parallelized Sequential Random Search Global Optimization Algorithm.
Acta Cybern., 1999

1997
PSA-CRS: A Parallel Stochastic Algorithm for Global Optimization.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 1997


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