Enrique J. Carmona

• PhD
• Professor (Associate) at National University of Distance Education

URL providing 50 days' free access to the article: https://kwnsfk27.r.eu-west-1.awstrack.me/L0/https:%2F%2Fauthors.elsevier.com%2Fc%2F1kSNVcAmy-DTU/1/01020194749edd9b-03fe05cc-5a86-4a19-be90-f3c82722d935-000000/QwwFbGPfarWX1BRIsO1MHk82RNo=409

Este documento contiene una lista de erratas del libro: E. J. Carmona, S. Fernández, "Fundamentos de la Computación Evolutiva", Marcombo, 2020.

Este documento contiene la Tabla de Contenidos del libro: E. J. Carmona, S. Fernández, "Fundamentos de la Computación Evolutiva", Marcombo, 2020.

There are different retinal vascular imaging modalities widely used in clinical practice to diagnose different retinal pathologies. The joint analysis of these multimodal images is of increasing interest since each of them provides common and complementary visual information. However, if we want to facilitate the comparison of two images, obtained...

Optical coherence tomography angiography (OCTA) and fluorescein angiography (FA) are two different vascular imaging modalities widely used in clinical practice to diagnose and grade different relevant retinal pathologies. Although each of them has its advantages and disadvantages, the joint analysis of the images produced by both techniques to anal...

In this work, we present a new methodology to simultaneously segment anatomical structures in medical images. Additionally, this methodology is instantiated in a method that is used to simultaneously segment the optic disc (OD) and fovea in retinal images. The OD and fovea are important anatomical structures that must be previously identified in an...

The Foveal Avascular Zone (FAZ) is a capillary-free area that is placed inside the macula and its morphology and size represent important biomarkers to detect different ocular pathologies such as diabetic retinopathy, impaired vision or retinal vein occlusion. Therefore, an adequate and precise segmentation of the FAZ presents a high clinical inter...

We present a new approach based on grammatical evolution (GE) aimed at addressing the analog electronic circuit design problem. In the new approach, called multi-grammatical evolution (MGE), a chromosome is a variable-length codon string that is divided into as many partitions as subproblems result from breaking down the original optimization probl...

El presente libro trata de las bases de la computación evolutiva, intentando dar una perspectiva global del campo. Los principales tipos de algoritmos evolutivos son revisados en detalle y, además, se explican una serie de técnicas avanzadas que dotan a estos algoritmos de mayor potencia y versatilidad. En cada capítulo se proporciona una gran cant...

A novel mesh-free heuristic method for solving differential equations is proposed. The new approach can cope with linear, nonlinear, and partial differential equations (DE), and systems of DEs. Candidate solutions are expressed using a linear combination of kernel functions. Thus, the original problem is transformed into an optimization problem tha...

A new approach for automatic synthesis of analog electronic circuits based on Grammatical Evolution is presented. Grammatical Evolution is an evolutionary algorithm based on grammar which can generate code in any programming language and uses variable length linear binary strings. The decoding of each chromosome determines which production rules in...

Background and objective: The anatomical structure detection in retinal images is an open problem. However, most of the works in the related literature are oriented to the detection of each structure individually or assume the previous detection of a structure which is used as a reference. The objective of this paper is to obtain simultaneous detec...

Este tutorial presenta una introducción al mundo de las máquinas de vectores soporte (SVM, del inglés Support Vector Machine), aplicadas a resolver tareas tanto de clasifi cación como de regresión. En el primer tipo de tareas, la descripción se restringe al caso de clasi ficación binaria y, atendiendo al tipo de separabilidad de los ejemplos de ent...

This paper presents a method for the segmentation of the blood vessels, which form the retinal vascular network, in color fundus photographs. It is based on the idea of local binary pattern operators (LBP, LTP, CLBP) and evolutionary neural networks. Thus, a new ope-rator, called SMLBP, is used to obtain a feature vector for every pixel in the imag...

An algorithm for automatic synthesis of one stage analog amplifiers based on Grammatical Evolution (GE) and Koza's developmental expressions is presented. GE is an evolutionary algorithm which can generate code in any programming language and uses variable length binary strings. The binary genome determines which production rules in a BNF grammar d...

This paper describes two new pattern detection image operators called, in a generic way, LBP-based relational operators (LBP-RO). The former is rotational invariant and allows searching for a particular pattern disposes in any direction, the later is a binary operator designed to find image patterns that can be modeled by a pattern function. Both o...

A method for optimizing the thermodynamic efficiency of aeronautical gas turbines designed by classical methods is presented. This method is based in the transformation of the original constrained optimization problem into a new constrained free optimization problem which is solved by a genetic algorithm. Basically, a set of geometric, aerodynamic...

A novel genetic algorithm called GGA (Grid-based Genetic Algorithm) is presented to improve the optimization of multimodal real functions. The search space is discretized using a grid, making the search process more efficient and faster. An integer-real vector codes the genotype and a GA is used for evolving the population. The integer part allows...

A novel mesh-free approach for solving differential equations based on Evolution Strategies (ESs) is presented. Any structure is assumed in the equations making the process general and suitable for linear and nonlinear ordinary and partial differential equations (ODEs and PDEs), as well as systems of ordinary differential equations (SODEs). Candida...

A novel genetic algorithm called GGA (Grid-based Genetic Algorithm) is presented to improve the optimization of multimodal real functions. The search space is discretized using a grid, making the search process more efficient and faster. An integer-real vector codes the genotype and a GA is used for evolving the population. The integer part allows...

This paper proposes an automatic method to locate and segment the optic nerve head (papilla) from eye fundus color photographic images. The method is inspired in the approach presented in [1]. Here, we use a Gaussian pyramid representation of the input image to obtain a subwindow centered at a point of the papillary area. Then, we apply a Laplacian...

The study of human activity is applicable to a large number of science and technology fields, such as surveillance, biomechanics or sports applications. This article presents BB6-HM, a block-based human model for real-time monitoring of a large number of visual events and states related to human activity analysis, which can be used as components of...

Certainly, one of the prominent ideas of Professor José Mira was that it is absolutely mandatory to specify the mechanisms and/or processes underlying each task and inference mentioned in an architecture in order to make operational that architecture. The conjecture of the last fifteen years of joint research has been that any bottom-up organizatio...

A method for optimizing the number of airfoils of a turbine design is presented. The optimization consists of reducing the total number of airfoils meanwhile a set of geometric, aerodynamic and acoustic noise restrictions are fulfilled. It is described how is possible to reduce the problem degrees of freedom to just one variable per row. Due to the...

This paper presents BB6-HM, a block-based human model for real-time monitoring of a large number of visual events and states related to human activity analysis, which can be used as components of a library to describe more complex activities in such important areas as surveillance. BB6-HM is inspired by the proportionality rules commonly used in Vi...

In this work we propose a general top–down feedback scheme between adjacent description levels to interpret video sequences. This scheme distinguishes two types of feedback: repair-oriented feedback and focus-oriented feedback. With the first it is possible to improve the system's performance and produce more reliable and consistent information, an...

This work proposes creating an automatic system to locate and segment the optic nerve head (ONH) in eye fundus photographic images using genetic algorithms. Domain knowledge is used to create a set of heuristics that guide the various steps involved in the process. Initially, using an eye fundus colour image as input, a set of hypothesis points was...

Variants of the background subtraction method are broadly used for the detection of moving objects in video sequences in different applications. In this work we propose a new approach to the background subtraction method which operates in the colour space and manages the colour information in the segmentation process to detect and eliminate noise....

Segmentation of moving objects is an essential component of any vision system. However, its accomplishment is hard due to some challenges such as the occlusion treatment or the detection of objects with deformable appearance. In this paper an artificial neuronal network approach for moving object segmentation, called lateral interaction in accumula...

In real sequences, one of the factors that most negatively affects the segmentation process result is the existence of scene noise. This impairs object segmentation which has to be corrected if we wish to have some minimum guarantees of success in the following tracking or classification stages. In this work we propose a generic knowledge-based mod...

To provide a useful tool in the diagnosis of glaucoma by developing an automatic system for visual field classification based on neuro-fuzzy rules. A total of 212 visual fields (OCTOPUS 123 program G1X), from 198 patients, were analysed: 61 normal (controls) and 151 with glaucomatous damage (49% with incipient damage, 29.1% with moderate damage, an...

Objetivo: Construir un sistema automático de clasificación del campo visual (CV), basado en reglas fuzzy, como herramienta de ayuda al diagnóstico de glaucoma. Método: Se analizaron 212 perimetrías blanco-blanco (OCTUPUS 123 programa G1X) correspondientes a 61 controles y 151 glaucomatosos (incipientes 49,0%, moderados 29,1% y avanzados 21,9%) de 1...

This work presents an approach to the automatic interpretation of the visual field to enable ophthalmology patients to be classified as glaucomatous and normal. The approach is based on a neuro-fuzzy system (NEFCLASS) that enables a set of rules to be learnt, with no a priori knowledge, and the fuzzy sets that form the rule antecedents to be tuned,...

Resumen El problema de la segmentación de objetos en movimiento en secuencias de vídeo ha sido abordado desde varias aproximaciones. Aumenta un grado la dificultad cuando los objetos monitorizados poseen una apariencia deformable. El método usado en este documento utiliza una red neuronal, explotando la mecánica de la computación acumulativa en con...