Antonio Arauzo-Azofra

University of Córdoba | UCO · Project engineering

Central nervous system tumors, particularly gliomas, rank among the top 10 causes of cancer-related deaths worldwide. Thus, precise differentiation of these tumors is crucial for effective treatment, which can reduce patient suffering and lower mortality rates. We propose a deep learning-based technique for glioma differentiation using MRI imaging,...

Selecting the best features in a dataset improves accuracy and efficiency of classifiers in a learning process. Datasets generally have more features than necessary, some of them being irrelevant or redundant to others. For this reason, numerous feature selection methods have been developed, in which different evaluation functions and measures are...

Feature Selection (FS) is a key task in Machine Learning. It consists in selecting a number of relevant variables for the model construction or data analysis. We present the R package, FSinR, which implements a variety of widely known filter and wrapper methods, as well as search algorithms. Thus, the package provides the possibility to perform the...

Feature selection is a mechanism used to reduce the complexity and improve the speed of the learning process by using a subset of features from the data set. There are several measures which are used to assign a score to a subset of features and, therefore, are able to compare them and decide which one is the best. The bottle neck of consistence me...

The unequal area facility layout problem (UA-FLP) has been addressed by many approaches. Most of them only take quantitative aspects into consideration. In this paper, we will solve UA-FLP using a novel hybrid methodology that joins interactive evolutionary optimization and multi-criteria decision making. I particular, a combination of an interacti...

Normal distribution has been commonly accepted as the probability function for whole project duration estimation. Nevertheless, this assumption does not hold in complex projects with many activities and paths, particularly when there are several paths with similar mean duration to that of the critical path (dominating paths). In such cases, Extreme...

The unequal area facility layout problem (UA-FLP) has been addressed by many approaches. Most of them only consider quantitative aspects into the approach. In this work, we will solve UA-FLPs using a novel hybrid model that joins multi-criteria decision making method and interactive evolutionary optimization. Particularly, a combination of the anal...

Los Grados Universitarios en sus planes de estudios tienen asignados una serie de créditos optativos, en los que el estudiante tiene libertad para elegir las asignaturas que más le interesen. Esta elección suele ser bastante complicada para los estudiantes, que si bien cuentan con una guía docente de cada asignatura, que les permite conocer los con...

Este artículo describe un proyecto de innovación educativa centrado en diseñar y desarrollar un nuevo módulo de Moodle que permita obtener modelos predictivos basados en árboles de decisión a partir de los datos de uso almacenados en Moodle. Debido a las características de los modelos basados en árboles de decisión, es posible relacionar el trabajo...

Several studies have estimated the potential economic and social impact of the mHealth development. Considering the latest study by Institute for Healthcare Informatics, more than 40,000 Apps of health and medicine are offered in the Apple store. Adding those of Playstore and other platforms, the figure reaches 97,000. Thus, they have become the th...

This paper presents a hybrid system for incorporating human expert knowledge into the unequal area facility layout problem. A subset of facility designs is generated using a genetic algorithm and then, evaluated by a human expert. The hybrid system consists of assigning a mark, where the principal aim is to substitute the human expert’s knowledge t...

The unequal area facility layout problem (UA-FLP) has been addressed by many methods. Most of them only take aspects that can be quantified into account. This contribution presents a novel approach, which considers both quantitative aspects and subjective features. To this end, a multi-objective interactive genetic algorithm is proposed with the ai...

This paper proposes the use of ordinal regression for helping the evaluation of Unequal Area Facility Layouts generated by an interactive genetic algorithm. Using this approach, a model obtained taking into account some objective factors and the subjective evaluation of the experts is constructed. Ordinal regression is used in this case because of...

Facility Layout Design is known to be very important for attaining production efficiency because it directly influences manufacturing costs, lead times, work in process and productivity. Facility Layout problems have been addressed using several approaches. Unfortunately, these approaches only take into account quantitative criteria. However, there...

The Unequal Area Facility Layout Problem (UA-FLP) has been addressed using several methods. However, the UA-FLP has only been solved for criteria that can be quantified. Our approach includes subjective features in the UA-FLP, which are difficult to take into account with a more classical heuristic optimization. In this respect, we propose an Inter...

A multiobjective optimization system based on both subjective and objective information for assisting facility layout design is proposed on this contribution. A data set is constructed based on the expert evaluation of some facility layouts generated by an interactive genetic algorithm. This dataset is used for training a classification algorithm w...

In general, times series forecasting is considered as a highly complex problem, which is particularly true for financial time series. In this paper, a fuzzy model evolved through a bio-inspired algorithm is proposed to produce accurate models for the prediction of these time series. The performance of this model is compared to that of a group of st...

This article deals with the integrated use of online quizzes as a teaching and assessment tool in the general program of the subject Proyectos in the third course of Ingeniero Técnico en Informática de Gestión over five consecutive years. The research undertaken aimed to test quizzes effectiveness on student performance when used, not only as an is...

The educational system promoted by the European higher education area advocates the introduction of new teaching methodologies in order to improve students' skills as well as their knowledge in the subject areas they are studying. In response to this, new teaching strategies were implemented in Industrial Engineering and Software Engineering degree...

This contribution presents an approach to consider subjective features of the designer (Decision Maker: DM) using an Interactive Genetic Algorithm (IGA) in Unequal Area Facility Layout Problem (UA-FLP) applied to recycling plants design. The DM guides the evolutionary process adjusting it to his/her preferences at every iteration of the algorithm....

Fuzzy rule-based models, a key element in soft computing (SC), have arisen as an alternative for time series analysis and modeling. One difference with preexisting models is their interpretability in terms of human language. Their interactions with other components have also contributed to a huge development in their identification and estimation p...

A genetic algorithm (GA) for designing plant layouts in industries with unequal area facilities taking into consideration material handling costs, logical relations between spaces and the shape of each area is presented. The GA utilizes a new encoding representation for these problems. Specific software has been developed to allow users to introduc...

The use of feature selection can improve accuracy, efficiency, applicability and understandability of a learning process and its resulting model. For this reason, many methods of automatic feature selection have been developed. By using a modularization of feature selection process, this paper evaluates a wide spectrum of these methods. The methods...

A combination of teaching techniques including forums and group tutorials combination have been put into practice in Industrial Engineering and Software Engineering degree courses in order to improve students'academical performance and skills in areas including problem-solving, information management and group working by means of a collaborative le...

Unequal Area Facility Layout Problem (UA-FLP) is a relevant problem with industrial application and it has been addressed by several methods having into account only quantitative criteria. This contribution presents an approach to consider subjective features in UA-FLP. An Interactive Genetic Algorithm (IGA) is proposed that allows interaction betw...

Unequal Area Facility Layout Problem (UA-FLP) has been addressed by several methods. However, UA-FLP has only been solved regarding quantitative criteria. Our approach includes subjective features to UA-FLP, which are difficult to take into account with a classical heuristic optimization. For that, an Interactive Genetic Algorithm (IGA) is proposed...

In this paper, we propose a new diagnostic checking tool for fuzzy rule-based modelling of time series. Through the study of the residuals in the Lagrange multiplier testing framework we devise a hypothesis test which allows us to determine if there is some left autocorrelation in the error series. This is an important step towards a statistically...

Se establece el estado actual del conocimiento sobre la relación entre los campos eléctricos y magnéticos de muy baja frecuencia y salud, por una parte, y se desgrana una serie de interesantes propuestas de actuación, referidas tanto a la investigación básica como a la estimación de las situaciones de exposición en Andalucía, por otra. Esta public...

The use of feature selection can improve accuracy, efficiency, applicability and understandability of a learning process and its resulting model. For this reason, many methods of automatic feature selection have been developed. By using a modularization of feature selection process, this paper evaluates a wide spectrum of these methods. The methods...

The allocation of facilities in a plant layout is a complex problem. For solving it, many authors have used Genetic Algorithms (GAs) with the objective of reaching an efficient plant layout design. To represent the plant layout design as a data structure, GAs require a defined encoding scheme. Such a structure defines the types of solutions that ca...

The previous regulations about acoustics in buildings ruled only isolation,forgetting other important subjects. The new code in Spain, specifically the DB-HRdocument, also include the regulations of excessive noise reverberating that producesand causes discomfort in many cases non-speech intelligibility, this circumstance iscrucial in certain areas...

To develop an artificial neural network (ANN)-equation to estimate maximal oxygen uptake (VO(2max)) from 20m shuttle run test (20 mSRT) performance (stage), sex, age, weight, and height in young persons. The 20 mSRT was performed by 193 (122 boys and 71 girls) adolescents aged 13-19 years. All the adolescents wore a portable gas analyzer to measure...

The use of feature selection can improve accuracy, efficiency, applicability and understandability of a learning process and the resulting learner. For this reason, many methods of automatic feature selection have been developed. By using the modularization of feature selection process, this paper evaluates a wide spectrum of these methods and some...

The use of feature selection can improve accuracy, efficiency, applicability and understandability of a learning process. For this reason, many methods of automatic feature selection have been developed. Some of these methods are based on the search of the features that allows the data set to be considered consistent. In a search problem we usually...

Realizando una revisión sobre el problema de selección de características y su estado del arte, se propone una descomposición modular que permite implementar, extender y combinar de forma ordenada los métodos de selección de características. Se desarollan varias mejoras para selección de características: extensiones del algoritmo FOCUS para ampliar...

This paper deals with the problem of feature selection. Almuallim and Dieterich (1) developed the FOCUS algorithm which performs optimal fea- ture selection on boolean domains. In this paper an extension of FOCUS is developed to deal with discrete and continuous features. The exten- sion, C-FOCUS, is verified on an artificial geometric figure class...

This paper deals with the problem of feature selection. Almuallim and Di- eterich (1) developed the FOCUS al- gorithm which performs optimal feature selection on boolean domains. In a previous paper an extension of FOCUS is developed to deal with discrete and continuous features. In this paper we present an extension to work with fuzzy features, wh...