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  • Ruben Urraca-Valle, Javier Antoñanzas, Fernando Antoñanzas-Torres, Francisco J. Martínez de Pisón Ascacibar
  • Computer Science
  • SOCO-CISIS-ICEUTE
  • 2016 (First Publication: 19 October 2016)
  • Empirical models are widely used to estimate solar radiation at locations where other more readily available meteorological variables are recorded. Within this group, soft computing techniques areContinue Reading
  • Manuel Castejón Limas, Joaquín B. Ordieres Meré, Francisco J. Martínez de Pisón Ascacibar, Eliseo P. Vergara González
  • Computer Science
  • Data Mining and Knowledge Discovery
  • 2004 (First Publication: 1 September 2004)
  • A new method of outlier detection and data cleaning for both normal and non-normal multivariate data sets is proposed. It is based on an iterated local fit without a priori metric assumptions. WeContinue Reading
  • Joaquín B. Ordieres Meré, Francisco J. Martínez de Pisón Ascacibar, Ana González-Marcos, I. Ortiz-Marcos
  • Engineering, Computer Science
  • J. Intelligent Manufacturing
  • 2010 (First Publication: 1 August 2010)
  • The mechanical properties of steel coils can be predicted prior to the galvanizing process, thereby preventing the production of galvanized steel coils that are not suitable for the customer’sContinue Reading
  • Francisco J. Martínez de Pisón Ascacibar, Andrés Sanz-García, Eduardo Martínez-de-Pisón, Emilio Jiménez Macías, Dante Conti
  • Computer Science, Engineering
  • Comput. Ind. Eng.
  • 2012 (First Publication: 1 August 2012)
  • This paper presents an experience based on the use of association rules from multiple time series captured from industrial processes. The main goal is to seek useful knowledge for explaining failuresContinue Reading
  • Andrés Sanz-García, Julio Fernández-Ceniceros, Fernando Antoñanzas-Torres, Alpha V. Pernía-Espinoza, Francisco J. Martínez de Pisón Ascacibar
  • Mathematics, Computer Science
  • Appl. Soft Comput.
  • 2015 (First Publication: 1 October 2015)
  • Graphical abstractDisplay Omitted HighlightsGA-PARSIMONY combines feature selection and model parameter optimization.Selection of best parsimonious models according to cost and complexityContinue Reading
    Progress in information technologies and their broad social expansion have led to the appearance of websites specialized in online hotel booking. These sites offer new approaches for customers thatContinue Reading
    Abstract Most proposed metaheuristics for feature selection and model parameter optimization are based on a two-termed L o s s + P e n a l t y function. Their main drawback is the need of a manualContinue Reading