Publicaciones (13) Publicaciones de PABLO GONZALEZ GONZALEZ

2024

  1. Binary quantification and dataset shift: an experimental investigation

    Data Mining and Knowledge Discovery

  2. Matching Distributions Algorithms Based on the Earth Mover's Distance for Ordinal Quantification

    IEEE Transactions on Neural Networks and Learning Systems, Vol. 35, Núm. 1, pp. 1050-1061

  3. QuantificationLib: A Python library for quantification and prevalence estimation

    SoftwareX, Vol. 26, pp. 101728

2023

  1. An Equivalence Analysis of Binary Quantification Methods

    Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023

  2. Impact of multi-output and stacking methods on feed efficiency prediction from genotype using machine learning algorithms

    Journal of Animal Breeding and Genetics, Vol. 140, Núm. 6, pp. 638-652

2022

  1. UniOviedo(Team1) at LeQua 2022: Sample-based quantification using deep learning

    CEUR Workshop Proceedings

2021

  1. Learning to Quantify: Methods and Applications (LQ 2021)

    International Conference on Information and Knowledge Management, Proceedings

2019

  1. Automatic plankton quantification using deep features

    Journal of Plankton Research, Vol. 41, Núm. 4, pp. 449-463

2017

  1. A review onquantification learning

    ACM Computing Surveys, Vol. 50, Núm. 5

  2. Validation methods for plankton image classification systems

    Limnology and Oceanography: Methods, Vol. 15, Núm. 3, pp. 221-237

  3. Why is quantification an interesting learning problem?

    Progress in Artificial Intelligence, Vol. 6, Núm. 1, pp. 53-58

2013

  1. Multiclass support vector machines with example-dependent costs applied to plankton biomass estimation

    IEEE Transactions on Neural Networks and Learning Systems, Vol. 24, Núm. 11, pp. 1901-1905

  2. On the study of nearest neighbor algorithms for prevalence estimation in binary problems

    Pattern Recognition, Vol. 46, Núm. 2, pp. 472-482