Publications (13) Publications de IZARO GOIENETXEA URKIZU

2022

  1. Sign language recognition by means of common spatial patterns: An analysis

    PloS one, Vol. 17, Núm. 10, pp. e0276941

2021

  1. A New Approach for Video Action Recognition: CSP-Based Filtering for Video to Image Transformation

    IEEE Access, Vol. 9, pp. 139946-139957

  2. Problems selection under dynamic selection of the best base classifier in one versus one: PSEUDOVO

    International Journal of Machine Learning and Cybernetics, Vol. 12, Núm. 6, pp. 1721-1735

  3. Sign Language Recognition by Means of Common Spatial Patterns

    ACM International Conference Proceeding Series

2020

  1. Shedding light on people action recognition in social robotics by means of common spatial patterns

    Sensors (Switzerland), Vol. 20, Núm. 8

  2. Using common spatial patterns to select relevant pixels for video activity recognition

    Applied Sciences (Switzerland), Vol. 10, Núm. 22, pp. 1-16

2019

  1. Statistics-Based Music Generation Approach Considering Both Rhythm and Melody Coherence

    IEEE Access, Vol. 7, pp. 183365-183382

2018

  1. Melody Transformation with Semiotic Patterns

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

  2. On the use of matrix based representation to deal with automatic composer recognition

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

  3. Towards the use of similarity distances to music genre classification: A comparative study

    PLoS ONE, Vol. 13, Núm. 2

2012

  1. A comparative study of classifier ensembles for karyotyping

    Frontiers in Artificial Intelligence and Applications, Vol. 243, pp. 1400-1407

  2. Association mining of folk music genres and toponyms

    Proceedings of the 13th International Society for Music Information Retrieval Conference, ISMIR 2012

  3. Image analysis pipeline for automatic karyotyping

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