Publicacions en què col·labora amb ALVAR ARNAIZ GONZALEZ (24)

2024

  1. VASS: herramienta docente web para la visualización y enseñanza de algoritmos de aprendizaje semisupervisado

    Actas de las Jornadas sobre la Enseñanza Universitaria de la Informática (JENUI), Núm. 9, pp. 319-326

2022

  1. When is resampling beneficial for feature selection with imbalanced wide data?

    Expert Systems with Applications, Vol. 188

2021

  1. Approx-SMOTE: Fast SMOTE for Big Data on Apache Spark

    Neurocomputing, Vol. 464, pp. 432-437

  2. Early multi-fault diagnosis in induction motors

    Proceedings of the 15th International Conference on Industrial Engineering and Industrial Management and XXV Congreso de Ingeniería de Organización

  3. Experimental evaluation of ensemble classifiers for imbalance in Big Data

    Applied Soft Computing, Vol. 108

  4. Rotation forest for big data

    Information fusion, Vol. 74, pp. 39-49

2020

  1. Early and extremely early multi-label fault diagnosis in induction motors

    ISA Transactions, Vol. 106, pp. 367-381

  2. Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools

    Journal of visualized experiments : JoVE

2019

  1. Evolutionary prototype selection for multi-output regression

    Neurocomputing, Vol. 358, pp. 309-320

2018

  1. Aplicaciones de la técnica de "topic model" en repositorios software

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

  2. Local sets for multi-label instance selection

    Applied Soft Computing Journal, Vol. 68, pp. 651-666

  3. Local sets for multi-label instance selection

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

  4. Seshat — a web-based educational resource for teaching the most common algorithms of lexical analysis

    Computer Applications in Engineering Education, Vol. 26, Núm. 6, pp. 2255-2265

  5. Study of data transformation techniques for adapting single-label prototype selection algorithms to multi-label learning

    Expert Systems with Applications, Vol. 109, pp. 114-130

2017

  1. Herramienta docente en línea para facilitar la enseñanza de teoría de autómatas

    Aulas y Tecnología Educativa en Evolución: Actas, XXV Jornadas Universitarias de Tecnología Educativa, JUTE 2017. Burgos, 21, 22 y 23 de junio de 2017

2016

  1. Fusion of instance selection methods in regression tasks

    Information Fusion, Vol. 30, pp. 69-79

  2. Instance selection for regression by discretization

    Expert Systems with Applications, Vol. 54, pp. 340-350

  3. Instance selection for regression: Adapting DROP

    Neurocomputing, Vol. 201, pp. 66-81

  4. Instance selection of linear complexity for big data

    Knowledge-Based Systems, Vol. 107, pp. 83-95

  5. Random feature weights for regression trees

    Progress in Artificial Intelligence, Vol. 5, Núm. 2, pp. 91-103