Antonio Arauzo-Azofra

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s: Feature selection methods try to find a subset of the available features to improve the application of a learning algorithm. Many methods are based on searching a feature set that optimizes some evaluation function. On the other side, feature set estimators evaluate features individually. Relief is a well known and good feature set estimator. While being(More)
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 evaluate(More)
The University degrees about engineering in general, and software engineering in particular, contain subjects related with Project Management. In this subject, the most commonly used software for practical classes and homework is MS-Project. Nevertheless, the students find that MS-Project is not easy to use and that it requires a high knowledge about(More)
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 Interactive(More)
0957-4174/$ see front matter 2012 Elsevier Ltd. A http://dx.doi.org/10.1016/j.eswa.2012.02.135 ⇑ Corresponding author. E-mail address: jose-luis.aznarte@mines-paristech 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(More)
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(More)
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 introduce data(More)
OBJECTIVE 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. METHODS 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(More)