407 citations · 666 across the 6 of their papers we have counts for
6 papers
Military Applications of Machine Learning: A Bibliometric Perspective
José Javier Galán, Ramón Alberto Carrasco, Antonio LaTorre
The military environment generates a large amount of data of great importance, which makes necessary the use of machine learning for its processing. Its ability to learn and predic…
Comparative study of regression vs pairwise models for surrogate-based heuristic optimisation
Pablo S. Naharro, Pablo Toharia, Antonio LaTorre +1
Heuristic optimisation algorithms explore the search space by sampling solutions, evaluating their fitness, and biasing the search in the direction of promising solutions. However,…
3D Segmentation of Neuronal Nuclei and Cell-Type Identification using Multi-channel Information
Antonio LaTorre, Lidia Alonso-Nanclares, José María Peña +1
Background Analyzing images to accurately estimate the number of different cell types in the brain using automatic methods is a major objective in neuroscience. The automatic and s…
A Tutorial on the Design, Experimentation and Application of Metaheuristic Algorithms to Real-World Optimization Problems
Eneko Osaba, Esther Villar-Rodriguez, Javier Del Ser +6
In the last few years, the formulation of real-world optimization problems and their efficient solution via metaheuristic algorithms has been a catalyst for a myriad of research st…
Model calibration using a parallel differential evolution algorithm in computational neuroscience: simulation of stretch induced nerve deficit
Antonio LaTorre, Man Ting Kwong, Julián A. García-Grajales +3
Neuronal damage, in the form of both brain and spinal cord injuries, is one of the major causes of disability and death in young adults worldwide. One way to assess the direct dama…
A Prescription of Methodological Guidelines for Comparing Bio-inspired Optimization Algorithms
Antonio LaTorre, Daniel Molina, Eneko Osaba +2
Bio-inspired optimization (including Evolutionary Computation and Swarm Intelligence) is a growing research topic with many competitive bio-inspired algorithms being proposed every…