Sebastián Ventura Soto-rekin lankidetzan egindako argitalpenak (17)

2019

  1. Virtual learning environment to predict withdrawal by leveraging deep learning

    International Journal of Intelligent Systems, Vol. 34, Núm. 8, pp. 1935-1952

2017

  1. Mining association rules on Big Data through MapReduce genetic programming

    Integrated Computer-Aided Engineering, Vol. 25, Núm. 1, pp. 31-48

2016

  1. Multiple instance learning: Foundations and algorithms

    Springer International Publishing, pp. 1-233

2010

  1. A survey on the application of genetic programming to classification

    IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews, Vol. 40, Núm. 2, pp. 121-144

  2. Introduction to the experimental design in the data mining tool KEEL

    Intelligent Soft Computation and Evolving Data Mining: Integrating Advanced Technologies (IGI Global), pp. 1-25

2009

  1. Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data

    Expert Systems with Applications, Vol. 36, Núm. 2 PART 1, pp. 1632-1644

  2. KEEL: A software tool to assess evolutionary algorithms for data mining problems

    Soft Computing, Vol. 13, Núm. 3, pp. 307-318

  3. Multi-instance genetic programming for web index recommendation

    Expert Systems with Applications, Vol. 36, Núm. 9, pp. 11470-11479

2007

  1. Aplicación de algoritmos evolutivos de descubrimiento de subgrupos en e-learning: un caso de estudio analizando cursos de Moodle

    Actas del V Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados

  2. Multiple instance learning with genetic programming for Web mining

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)