Publikationen, an denen er mitarbeitet ALVAR ARNAIZ GONZALEZ (10)

2022

  1. Correction to: Rotation Forest for multi-target regression (International Journal of Machine Learning and Cybernetics, (2022), 13, 2, (523-548), 10.1007/s13042-021-01329-1)

    International Journal of Machine Learning and Cybernetics

  2. Rotation Forest for multi-target regression

    International Journal of Machine Learning and Cybernetics, Vol. 13, Núm. 2, pp. 523-548

  3. UBUMonitor: An Open-Source Desktop Application for Visual E-Learning Analysis with Moodle

    Electronics (Switzerland), Vol. 11, Núm. 6

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. 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

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

2017

  1. MR-DIS: A Scalable Instance Selection Algorithm using MapReduce on Spark

    ERCIM News, pp. 44-45

  2. MR-DIS: democratic instance selection for big data by MapReduce

    Progress in Artificial Intelligence, Vol. 6, Núm. 3, pp. 211-219